Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

• Data Collection: Gather and organize ESG and financial data from various sources, including public reports, databases, and financial statements, ensuring accuracy and consistency.
• Research: Conduct research to identify and analyze ESG performance indicators and financial metrics for companies, supporting the overall analysis of ESG.
• Self-Review: Review your own work to ensure data accuracy, completeness, and alignment with team standards before submitting for further review or integration.
• QA Support: Assist with basic quality assurance tasks, ensuring data integrity, flagging discrepancies, and escalating any issues to other team members for resolution.
• Collaboration: Work closely with analysts and other team members to support data-driven decision-making, offering insights based on your research and data collection.
• Reporting: Prepare simple reports or summaries of collected data, assisting in the preparation of more detailed analysis as required by other analysts or managers.
• Excel Proficiency: Utilize Excel to manage, analyze, and manipulate large data sets, ensuring the smooth integration and processing of ESG and financial data.
• Continuous Learning: Actively participate in training and development opportunities to enhance your knowledge of ESG, LevFin, data collection techniques, and analytical tools.
• Communication: Communicate effectively with team members and supervisors to ensure the accuracy of data, share research findings, and contribute to team discussions.

• Fresh graduate of ASE, SNSPA – Political Science or Biology Faculty
• A strong interest in ESG (Environmental, Social, and Governance) topics, sustainable finance, and leveraged finance (LevFin)
• Understanding of key industry, policy, and market developments that continue to shape ESG investing
• Knowledge or interest about broader financial markets, and specific subject matter in ESG
• Excellent data collection and research skills, with a focus on gathering and organizing information in a methodical and accurate manner.
• Ability to be office based 3 days a week in our Bucharest office.
• A high level of attention to detail and thoroughness in ensuring data consistency and reliability.
• Strong analytical thinking and problem-solving abilities to navigate and interpret complex data.
• Effective communication skills to collaborate with internal teams, share insights, and ensure smooth data flow.
• A proactive, organized mindset with the ability to prioritize tasks, manage time efficiently, and meet deadlines.
• A positive attitude and a willingness to learn and grow in the field of ESG and LevFin.
• Strong teamwork skills, with the ability to work collaboratively and support colleagues in a fast-paced environment.

Octus is seeking a data analyst for the Bucharest office to help build out our financial data offering. In short, you would be tasked with gathering and analyzing fundamental investment data (financial statements / legal documentation) for public and private companies in Europe and the US.

This would be a great opportunity for someone who has been an investment banking credit analyst, or someone with a background in accounting, audit or investment research, who is interested in transferring their skills and experience into the fintech sector and becoming part of a growing team that analyses and provides investment data to credit asset managers in Europe and the US.

Requirements:

• 1-3 years of experience in credit / financial statement analysis, either within a bank, asset manager or auditor OR a university degree in Accounting, Economics or finance 
• Excellent oral and written communication
• Strong analytical, research and problem-solving skills, including the tenacity to resolve issues which may be complex.
• Keen attention to detail, particularly with regards to the ability to accurately handle data.
• Ability to work under tight deadlines with challenging
• Strong PC skills, particularly Microsoft

About the Role

Just starting out and curious about how the world really works behind the scenes? We’re looking for a Research & Delivery Associate (German) to join our team—no extensive experience needed, just a sharp mind and a willingness to learn.

In this role, you’ll research companies and people, connect the dots, and turn information into clear insights that help clients understand risks and make better decisions. You’ll work on real cases from around the world, gaining hands-on experience while being supported by a collaborative team.

This is a full-time role with a flexible hybrid setup.

Location: Bucharest

What You’ll Be Doing

• Dig into information about companies and individuals using online sources, databases, and internal tools
• Turn what you find into clear, easy-to-understand reports
• Spot potential risks and figure out what’s important
• Handle multiple tasks at once and see projects through from start to finish
• Team up with colleagues to deliver high-quality work on time
• Share your findings clearly, both in writing and in conversations

About You

You might be a great fit if you:

• Are curious and love solving problems a strong eye for detail
• Communicate clearly and confidently, taking initiative and getting things done
• Stay organized and manage your time well
• Enjoy working with others and learning along the way
• Are interested in global business, risk, or current events

* You don’t need to tick every box—if you’re curious, motivated, and eager to learn, we’d love to hear from you.

Requirements

• Bachelor’s degree (recent grads welcome!))
• Up to 2 years of experience
• Fluent in English
• Upper intermediate German skills
• Basic familiarity with tools like Microsoft Office or Google Workspace

Why Join Exiger

You’ll be joining a supportive team where you can learn fast, grow your skills, and work on real-world challenges from day one.

• Get hands-on experience early in your career
• Learn from experienced teammates
• Work on interesting, global cases
• Flexible hybrid work setup
• A friendly, collaborative culture where people help each other grow

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life. 

What You Will Be Doing 

• Serve as the external voice of the product across webinars, executive roundtables, customer events, and analyst briefings 

• Own product messaging and narrative across predictive AI, threat intelligence, and prevention capabilities 

• Lead structured customer discovery with security leaders, detection engineers, and OT security owners 

• Define and validate target buyer personas, ICPs, and supported use cases 

• Build and maintain sales enablement assets, including pitch decks, demo storylines, competitive content, and objection-handling guides 

• Partner with sales and solution engineering on strategic deals, refining positioning based on direct field feedback 

• Develop launch narratives and collaborate with field marketing on product launches and campaigns 

• Track post-launch adoption and feedback, feeding insights back into messaging and roadmap 

• Run win/loss and voice-of-customer programs to convert buyer and user needs into roadmap priorities 

• Provide input on pricing, packaging, and commercial positioning based on field and competitive dynamics 

• Translate technical capabilities into clear business value for executive and customer audiences 

• Provide a business counterpart to engineering leadership in roadmap, planning, and executive review discussions 

What We Need From You 

• 5+ years of experience in cybersecurity, in product marketing, technical product management, sales engineering, or solutions architecture 

• Proven customer-facing experience, including public speaking at industry events, webinars, or executive roundtables 

• Working fluency across the cybersecurity stack, including threat intelligence, detection engineering, and prevention technologies 

• Working understanding of AI and machine learning as applied to security, with the ability to articulate and assess model performance 

• Strong customer and buyer empathy, with the ability to map personas and prioritize use cases 

• Proven ability to convert market signals and customer needs into product and roadmap input 

• Strong business acumen, comfortable discussing pipeline, expansion, retention metrics, TCO, ROI, and risk reduction 

• Strong communication and stakeholder management skills across technical and executive audiences 

• Entrepreneurial mindset with a high level of ownership and the ability to drive initiatives independently 

• Willingness to travel up to 30% for customer visits, field events, and industry conferences 

Nice to Have 

• Experience in OT, ICS, or critical infrastructure environments 

• Background with content disarm and reconstruction (CDR) or file-based threat prevention solutions 

• Industry exposure in regulated sectors such as government, defense, utilities, or financial services 

• Prior experience in a startup or early-stage environment with autonomous business ownership 

• Published thought leadership, analyst report contributions, or a track record of speaking at industry events 

• Additional language proficiency for regional coverage

At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Who We Are: 
Suvoda is a global clinical trial technology company that specializes in highly complex, life-sustaining  studies in therapeutic areas like oncology, central nervous system, and rare disease. Founded in 2013 by experts in eClinical technologies, Suvoda empowers clinical trial professionals to manage  the most urgent moments in the most urgent trials through its IRT, eConsent, and eCOA solutions delivered on a single platform. Headquartered outside Philadelphia, Suvoda also maintains offices in Portland, OR, Barcelona, Spain, Bucharest and Iasi, Romania and Tokyo, Japan. The company consistently boasts a customer satisfaction index of 9 out of 10, an NPS score of 70 in its annual surveys, and has been selected by trial sponsors and CROs to support nearly 1000 trials across 65 countries. 

Responsibilities:  

• Analyze client requirements and existing system configurations to calculate the financial components of client contracts
• Effectively manage the change order queue from initial request to final execution
• Manage the input of study specifications within budget calculators
• Analyze client requirements to calculate the financial components of client proposals
• Prepare, edit and/or customize change order text to accurately reflect the changes in assumptions and budget summaries
• Ensure change orders are consistent with pricing/financial terms outlined customer master agreements
• Schedule and Lead the Change Order Alignment calls with the project team(s)
• Actively communicate with the Project Team and Finance to support the timely and accurate delivery of change orders
• Perform other duties, assignments or special projects as needed.
• The duties and responsibilities listed in this job description represent the major responsibilities of the position.
• Other duties and responsibilities may be assigned, as required.  

Requirements:  

• Bachelor’s Degree with a concentration in Finance or Business Administration, or a related field
• Strong understanding of contracts processes and strategies
• Strong  knowledge of MS Word and Excel applications
• Analytical mindset with the ability to interpret data and make data-driven decisions
• Self-motivated and results-oriented, with the ability to thrive in a fast-paced environment
• Familiarity with CRM, salesforce.com
• Time management and organizational skills 
• Accountability and Integrity 
• Collaboration with internal teams 

 Role Levels and Experience  

• 3-5 years of finance or contract review experience 

We have an immediate opportunity for an Office Assistant to join our growing Bucharest office. The Office Assistant will provide support to the team of Exiger professionals, ensure a well-maintained working environment, and provide administrative support to visiting clients.

This is a full-time position with working hours of 9:00am – 6:00 pm (with one hour lunch break).

Key responsibilities

• Coordinate with global team members who are visiting our Bucharest office and assist them with details such as preferred transportation, hotels, access to the building etc
• Assist IT department with remote distribution of laptops, monitors and other accessories
• Maintain up to date the organizational charts of all Bucharest departments, monthly
• Support local managers with recording the time-off
• Support Finance with related duties
• Assist Exiger employees who may be visiting the Bucharest office with details such as; preferred transportation, hotels, access to the building and other advice as needed
• Serve as primary liaison to building management and facilities for all issues related to the physical condition of the office space
• Inventory, order, and distribute kitchen supplies – coffee, tea, creamer, sweetener, napkins, paper towels, disposable plates and utensils, cups, beverages for vending machine, etc.
• Inventory, order, and distribute office supplies (including Exiger branded items) for individual and communal use
• Greet visitors to the office and connect them with the team member they are meeting with
• Answer incoming phone calls and transfer to the appropriate team member
• Receive incoming mail and packages and arrange payment and pick-up for outgoing mail and packages
• Place food orders for special meetings or events
• Regularly inspect common areas for tidiness. If necessary, coordinate with building management for removal of excess trash, etc.
• Review conference rooms’ meeting schedules daily and ensure conference rooms are presentable and adequately stocked with supplies – papers, pens, cups, etc.
• Other special projects and duties as assigned

Knowledge & Skills

• Personable and approachable disposition
• Detail-oriented
• Highly organized with a proven track record of keeping information clear and accurate
• Ability to multi-task and manage numerous priorities simultaneously
• Proficiency with Microsoft Office Suite
• Excellent communication skills and phone etiquette 
• Prior Mac computer experience is a plus
• Flexible and adaptable
• Desire to provide outstanding service and support to colleagues and clients

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Suvoda is a global clinical trial technology company shaping digital experiences that enable clinical trial sponsor and site professionals to take full command over the inherent logistical complexity behind mission-critical and time-sensitive patient interactions in life-sustaining studies for therapeutic areas such as oncology, central nervous system, and rare disease.

Supporting clinical trials means supporting unique experiments that are inherently complex, high-stakes, and dynamic. It is imperative that Suvoda staff working with clients, end-users, or the systems that client and end-users interact with understand the clinical trial industry, regulations, Suvoda’s software products and processes, and especially the specificities of the unique trial in question before taking any actions they may alter the data of the system in question.

Responsibilities:

• Work as part of a cross-functional project team responsible for the delivery of Interactive Response Technology (IRT) for randomization and drug supply management in clinical trials;
• Support the Services Delivery project team in: 
• Liaising with the client to discuss requirements, handle issues, provide status updates, and answer questions;
• Designing the IRT solution to meet the study requirements based on the clinical protocol, Suvoda proposal and discussions with the client;
• Accurately and completely documenting all requirements and participating in internal and external specification review meetings;
• Assisting with client review meetings of IRT specifications and supporting documents, making any required updates;
• Managing project schedules and scope, tracking all internal and client tasks required to meet project milestones;
• Managing the cross-functional project team’s schedule and task assignments;
• Assisting with creating the UAT plan, developing test scripts, coordinating data setup, and providing client support for client UAT;
• Providing protocol-specific support to the client and support team after go-live;
• Ensure client satisfaction throughout the project build and maintenance phase, working with Suvoda management, the Suvoda product team, and business development as needed;
• Provide system training to end-users using in-person meetings, web meetings, and user manuals;
• Provide telephone and email support to system users globally;
• Travel to client sites to attend meetings and conduct user training sessions;
• Perform other related duties as required;

Requirements:

• Bachelor's degree required (in life sciences or computer science preferred);
• 1.5 year of progressive associate project manager experience;
• Interpersonal and communication skills;
• Time management and organizational skills;
• Strong organizational skills;
• Analytical thinking ability
• Creative problem-solving ability;
• Attention to detail;

#LI-CG1

At Super Technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Super Technologies to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Super Technologies moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical and ML methods and bringing them to life in dashboards (we use Tableau). It would be also great if you have experience/basic knowledge of python or R.
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 4+ years of relevant experience.

Super Technologies is offering an exciting Erasmus+ traineeship programme based in either London or Madrid. This is a unique opportunity to gain hands-on experience in a fast-paced, international environment while contributing to impactful business projects. We are looking for motivated, curious, and driven individuals who are eager to develop their skills and gain real-world experience aligned with their career goals.

Areas of Impact:

Applicants are encouraged to indicate their preferred department based on their interests and career aspirations. Current opportunities include:

International Market Expansion
Support our global growth strategy by conducting market research, building financial business cases, and evaluating strategic expansion opportunities.

Sports Quant
Work at the intersection of sports and quantitative analysis. Use programming languages such as Python, R, or Matlab to analyse data and develop predictive models.

Data & Insights
Play a key role in driving data-led decision-making. Build data pipelines, create dashboards, and transform complex datasets into actionable business insights.

Please note: Final placement will be determined based on both your profile and business needs.

What you'll be doing:

• Collaborate with cross-functional teams on real business projects
• Conduct research, analysis, and problem-solving within your chosen area
• Contribute to ongoing strategic initiatives
• Present findings and insights to stakeholders
• Continuously learn and apply new tools, techniques, and methodologies

What we are looking for:

• Currently enrolled in a relevant university programme eligible for Erasmus+
• Strong academic background aligned with your chosen department
• Excellent communication and collaboration skills
• Proactive mindset with a willingness to learn
• For Data & Insights: preference for candidates with technical backgrounds (e.g. engineering, computer science, statistics, or similar)

Application Process

• Submit an updated CV
• Provide a short motivation letter
• Include any additional documents required by your university

Shortlisted candidates will be invited to interview and discuss potential department placement.

Programme Structure

This is a structured three-month traineeship combining:

• On-the-job experience
• Formal training
• Ongoing mentorship and feedback

At the end of the programme, trainees will present their work and key learnings to the team.

Future Opportunities

Successful trainees may be considered for long-term career opportunities within Super Technologies.

Why Join Us?

• Gain hands-on experience in a dynamic, international business
• Work on meaningful, high-impact projects
• Develop both technical and professional skills
• Receive mentorship from experienced professionals
• Build a strong foundation for your future career

This role will play a key part in unlocking growth opportunities, improving partner performance, and removing operational bottlenecks. By strengthening data accuracy, reporting, and financial alignment, we expect to drive greater efficiency and stronger revenue outcomes.

• Faster execution and improved operational efficiency
• Stronger partner performance through data-driven insights
• Higher acquisition quality and scalability
• Reduced bottlenecks across markets

What you’ll be doing:

• Monitor, analyze, and optimize key performance metrics (CPA, LTV, ROI, ARPU) across all markets
• Support day-to-day affiliate operations through data-driven insights, reporting, and performance analysis
• Provide actionable insights to support business decisions across all SUPER markets
• Partner with Finance on revenue planning and forecasting
• Support commercial strategy and P&L tracking, ensuring performance aligns with revenue and profitability targets
• Collaborate with BI and Martech teams to enhance tracking, attribution, and overall data accuracy
• Assist with reconciliation and validation of performance and financial metrics, ensuring alignment across systems and platforms
• Develop and maintain a centralized data repository and dashboards to track performance and support decision-making
• Work closely with Affiliate and Commercial teams to identify growth opportunities and optimize partner performance

What we’re looking for:

• Bachelor’s degree in Business Administration, Data Analytics, Economics or related field
• Experience in data and/or business analysis, financial planning, process improvement roles, preferably in a fast-paced, digital-first or consumer-focused industry
• Advanced proficiency in Microsoft Excel (modeling) and data visualization tools like Tableau or Power BI
• Experience working with large datasets and performing forecasting, trend analysis, and performance tracking and optimization
• Ability to support growth strategies and identify key drivers for acquisition and efficiency
• Experience with process automation and data workflow optimization
• Building dashboards and reports that translate complex data into clear business and actionable insights
• Strong communication skills and experience working with cross-functional teams (Commercial, Tech, Finance)
• Previous experience in iGaming, online gambling, or affiliate marketing is a plus

The Research & Data Analyst plays a pivotal role within WPP Media's Data & Analytics team, responsible for the comprehensive analysis, processing, and automation of multiple available data sources. This includes leveraging a range of platforms and technologies, with a strong emphasis on integrating AI-based tools. This position serves as a critical support function, collaborating with internal stakeholders, external clients, and strategic partners to provide data-driven insights that inform and optimize various decision-making processes across the company and for WPP Media's clients.

Key Responsibilities

1. Data Analysis, Integration of Sources, and Contextualization:

• Conduct thorough data analysis, prioritizing the practical applicability and business impact of conclusions drawn from insights.
• Proactively identify, search for, and integrate diverse internal and external data sources to enrich interpretations and add significant value to analyses.
• Translate complex data findings into clear, concise, and actionable recommendations for both technical and non-technical audiences.

2. Contribution to WPP Media's Data & Analytics Offering:

• Actively contribute to the development and refinement of WPP Media's Data & Analytics presentations, proposals, and bespoke products.
• Cultivate and maintain strong working relationships with the company's data suppliers and, where necessary, clients, specifically within the data and automation sphere.
• Collaborate effectively with internal teams, responding promptly and accurately to media research requirements and contributing to their resolution.

3. Automation and Optimization of Data-Driven Processes:

• Design and develop innovative, automated data analysis formats and dashboards for reporting purposes, enhancing efficiency and scalability.
• Partner with client-facing colleagues to establish robust, periodic reports that effectively meet client needs while simultaneously minimizing manual effort through automation.
• Provide expert support and guidance across various departments to streamline data handling, storage, and processing workflows.
• Champion and contribute to the seamless integration of new and emerging data sources into existing workflows and analytical frameworks.

Desired Skills & Experience

Experience:

• Minimum of 3 years of professional experience in roles directly involving data manipulation, analysis, and interpretation.
• Previous experience within the media industry (media agencies, broadcasters, publishers, ad tech) is a significant advantage.

Knowledge, Skills, and Abilities:

• Knowledge of consumer and/or media audience analysis
• Knowledge of specialized media tools (e.g., Infosys+, SNA Focus / SATI Sesame, Masor, AdvantEdge/K2) is a plus
• Proficiency in automation tools (PowerBI, Google Looker Studio, etc.) is a plus
• English language proficiency (written and spoken) – advanced level
• Proficiency in MS Office suite – advanced level
• Attention to detail, ability to work in varying category/brand/marketing objective contexts, including strong prioritization skills
• Maximum openness to integrating AI into daily processes
• Open, communicative attitude, problem-solving orientation, rigor, promptness, good organization.

Professional Attributes:

• Exceptional attention to detail and a commitment to accuracy in all analytical outputs.
• Proven ability to adapt and thrive in varying category, brand, and marketing objective contexts, coupled with strong prioritization and time management skills.
• Demonstrated maximum openness and enthusiasm for integrating AI and machine learning techniques into daily analytical processes and solutions.
• An open, communicative, and collaborative attitude, coupled with a proactive problem-solving orientation.
• High level of rigor, promptness, and excellent organizational skills.

We are seeking a skilled Business Process Analyst with a strong process optimisation and BPM focus to join our team. This role combines business analysis, process modelling, and emerging technology (including AI) to drive end-to-end business improvement. The ideal candidate will bridge business and technology, leveraging BPMN methodologies, process tools, and data insights to identify opportunities, define solutions, and deliver measurable outcomes.

What you'll be doing:

• Analyse, and document business requirements across multiple functions and geographies
• Map and model business processes using BPMN 2.0 standards
• Use BPM tools such as BusinessOptix or SAP Signavio to design, analyse, and optimise processes
• Conduct as-is / to-be analysis to identify inefficiencies, risks, and automation opportunities
• Partner with stakeholders to align business needs with technology and data-driven solutions
• Support the identification and evaluation of AI-driven opportunities (e.g. process automation, decision support, predictive analytics)
• Facilitate workshops, process discovery sessions, and stakeholder interviews
• Translate business requirements into functional specifications and user stories
• Collaborate with delivery teams to ensure solutions meet business needs
• Define and track KPIs and process performance metrics
• Maintain process documentation, governance standards, and repositories

What we are looking for:

• Bachelor’s degree in Business Administration, Information Systems, or related field
• 5+ years of experience in Business Analysis and/or Process Improvement roles
• Strong experience in requirements gathering and stakeholder engagement
• Hands-on experience with process modelling using BPMN 2.0
• Experience using BPM / process tools (e.g. Signavio, BusinessOptix, or similar)
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management skills
• Experience working across business and technology teams

Desired Skills

• Exposure to AI / Machine Learning use cases and projects
• Experience with process automation (RPA, workflow tools, etc.)
• Knowledge of Lean Six Sigma or continuous improvement frameworks
• Understanding of data analysis, dashboards, or BI tools

Super is looking for an analytical and detail-oriented Risk Analyst to assist the Risk team in developing quantitative risk metrics. This is a fantastic opportunity for someone who thrives at the intersection of risk management, data analysis, and automation.

You will work closely with the Risk Team and business stakeholders to help identify risks, assess the risk and develop mitigation strategies.  A key part of this role is assisting the Risk Team in developing key risk indicators and monitoring key metrics.

What you'll be doing:

• Identifying Vulnerabilities: Helping the business continuously scan business operations, financial transactions, andIT systems to find where the company is exposed to loss or failure.
• Crunching the Data: Extracting and analyzing large datasets using tools like Excel/Google sheets, SQL, Python to measure the likelihood and financial impact of specific risks.
• Developing Key Risk Indicators (KRIs): Helping the Risk team to develop specific, measurable metrics that act as early warning systems, alerting leadership when a risk is creeping past an acceptable threshold.
• Building Visual Reports: Translating complex data into clear, easy-to-read dashboards (using tools like Tableau, Power BI, or Looker) for executives who need quick insights.
• Driving Mitigation Strategies: Partnering with internal teams—like Audit, Legal, or Commercial—to design new controls or processes that lower the company's risk exposure.
• Monitoring Compliance: Ensuring the business is playing by the rules and adhering strictly to industry regulations and internal policies.

What we are looking for:

• Education: Bachelor’s degree in Risk Management, Accounting, Finance, or a related field.
• Experience: 2 years of experience in a relevant role.
• Core competencies:
  • Quantitative analysis, the ability to translate abstract risks into measurable, trackable metrics.
  • Cross-functional collaboration, partner with key stakeholders to pinpoint vulnerabilities.
  • Process automation, identify automation improvements.
  • Data visualisation and reporting, design continuous improvement monitoring dashboards to provide real-time risk reporting.

Soft Skills: Strong critical thinking, problem-solving abilities, and the capacity to explain complex situations in simple terms

Super is looking for an analytical and detail-oriented Risk Analyst to assist the Risk team in developing quantitative risk metrics. This is a fantastic opportunity for someone who thrives at the intersection of risk management, data analysis, and automation.

You will work closely with the Risk Team and business stakeholders to help identify risks, assess the risk and develop mitigation strategies.  A key part of this role is assisting the Risk Team in developing key risk indicators and monitoring key metrics.

What you'll be doing:

• Identifying Vulnerabilities: Helping the business continuously scan business operations, financial transactions, andIT systems to find where the company is exposed to loss or failure.
• Crunching the Data: Extracting and analyzing large datasets using tools like Excel/Google sheets, SQL, Python to measure the likelihood and financial impact of specific risks.
• Developing Key Risk Indicators (KRIs): Helping the Risk team to develop specific, measurable metrics that act as early warning systems, alerting leadership when a risk is creeping past an acceptable threshold.
• Building Visual Reports: Translating complex data into clear, easy-to-read dashboards (using tools like Tableau, Power BI, or Looker) for executives who need quick insights.
• Driving Mitigation Strategies: Partnering with internal teams—like Audit, Legal, or Commercial—to design new controls or processes that lower the company's risk exposure.
• Monitoring Compliance: Ensuring the business is playing by the rules and adhering strictly to industry regulations and internal policies.

What we are looking for:

• Education: Bachelor’s degree in Risk Management, Accounting, Finance, or a related field.
• Experience: 2 years of experience in a relevant role.
• Core competencies:
  • Quantitative analysis, the ability to translate abstract risks into measurable, trackable metrics.
  • Cross-functional collaboration, partner with key stakeholders to pinpoint vulnerabilities.
  • Process automation, identify automation improvements.
  • Data visualisation and reporting, design continuous improvement monitoring dashboards to provide real-time risk reporting.

Soft Skills: Strong critical thinking, problem-solving abilities, and the capacity to explain complex situations in simple terms

As a Project Business Analyst, you will be part of the Finance Transformation team that has overall responsibility for defining and overseeing the Finance Transformation Roadmap. The Finance Transformation team are a new addition to the Finance vertical and it will be important for the successful candidate to help the Head of Finance Transformation continue to build the credibility and value proposition of a Transformation team. So, a “can do” attitude and “willingness to get hands dirty” will be a prerequisite for success in the Role.

The Role will be responsible for identifying, analyzing, and documenting business requirements within a project, ensuring that the proposed solution aligns with the organization's goals by collaborating with stakeholders to gather needs, translate them into functional specifications, and monitor project execution to guarantee successful delivery; essentially acting as a bridge between the business and technical teams throughout the project lifecycle. 

What you'll be doing:

Key responsibilities:

Primary:

• Requirement Gathering:

Conduct interviews, workshops, and surveys to gather detailed business requirements from stakeholders, understanding their pain points and desired outcomes. 

• Requirement Analysis:

Analyze gathered requirements, identify gaps, and prioritize features to ensure feasibility and alignment with project objectives. 

• Documentation:

Create comprehensive documentation including user stories, functional specifications, process flow diagrams, and data models to clearly define project scope. 

• Solution Design:

Collaborate with development teams to translate requirements into technical designs, considering system architecture and potential solutions. 

• Stakeholder Management:

Communicate project updates and requirements to stakeholders, manage expectations, and address concerns effectively. 

• Testing and Quality Assurance:

Participate in testing phases, reviewing test cases and ensuring the developed solution meets functional specifications. 

• Project Monitoring:

Track project progress against defined milestones, identify potential risks, and propose mitigation strategies. 

• Data Analysis:

Utilize data analysis techniques to identify trends and patterns, supporting decision-making throughout the project lifecycle. 

Secondary:

• Assist with ad-hoc projects and tasks (on an as needs basis)

We are looking for someone who has:

• Business Acumen: Strong understanding of business processes, operations, and key performance indicators. 
• Analytical Skills: Ability to analyze complex data, identify patterns, and draw meaningful conclusions. 
• Communication Skills: Fluent in English. Excellent written and verbal communication to effectively convey technical concepts to both technical and non-technical audiences. 
• Requirement Engineering: Expertise in eliciting, analyzing, and documenting business requirements. 
• Project Management: Basic understanding of project management methodologies and principles. 
• Technical Skills: Familiarity with relevant software development tools and techniques, depending on the project domain. 
• Strong academics, including degree level education.
• Experience of working in a multi-cultural and multi-location environment with an ability to work independently and priorities workload as part of a geographically dispersed team.
• Enthusiastic and ability to take initiative and provide direction to others.
• Organized self-starter, with drive and ambition to quickly make an impact within an evolving business.
• Relevant sector experience would serve an advantage, such as Gaming background, digital, retail or e-Commerce.
• Listed experience or within a high-growth business a benefit but not essential.
• Provide support to colleagues at all levels including training where necessary.

Other considerations:

• Primarily Romania-based/hybrid role with some travel required to other key locations/offices.
• Travel will be required in the early stages of projects scoping, during project kick-off, training, and hyper care to other locations of 2-3 days per week on a fortnightly basis.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

As the Project Portfolio Manager (Finance), you will be part of the Finance Transformation team that has overall responsibility for defining and overseeing the Finance Transformation Roadmap. The Finance Transformation team are a new addition to the Finance vertical and it will be important for the successful candidate to help the Head of Finance Transformation continue to build the credibility and value proposition of a Transformation team. So, a “can do” attitude and “willingness to get hands dirty” will be a prerequisite for success in the Role.

The Role will be responsible for a collection of projects for the Finance vertical of Super Group, for aligning them with strategic goals by prioritizing initiatives, optimizing resource allocation across projects, monitoring performance, and managing risks to ensure the portfolio delivers maximum value and meets business and Departmental objectives. The role requires strong analytical skills, strategic thinking, and the ability to collaborate with various stakeholders to make informed decisions regarding project selection, prioritization, and execution. 

The role will also require at times the successful candidate to play a hands-on role in assuming the role of Project manager, Business analyst, Change manager, and/or Stakeholder Engagement manager to ensure the right outcomes are achieved for the Finance internal customers and vertical. We aim to strike the right balance between being strategic and frugal with Super resources.

We're looking for someone who:

• Has strong academics, including degree level education and likely Big 4 background with 3-4 years PQE
• Has hands on experience of having been in a Finance Operational role and or leading Finance Projects. Ideally experiences should include Record to Report processes such as Month end Financial close, FP&A, Statutory Reporting, Direct and Indirect Taxation etc.
• Has proven experience in project management methodologies and best practices. 
• Has strong analytical and problem-solving skills to evaluate project performance and identify areas for improvement. 
• Has excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders.
• Has expertise in portfolio management tools and software. 
• Has understanding of financial analysis and budgeting principles to assess project viability. 
• Has leadership abilities to guide project teams and manage complex portfolio initiatives.
• Has experience of working in a multi-cultural and multi-location environment with an ability to work independently and priorities workload as part of a geographically dispersed team.
• Is enthusiastic and ability to take initiative and provide direction to others.
• Is organized self-starter, with drive and ambition to quickly make an impact within an evolving business.
• Has strong project management skills with an attention to detail.
• Has relevant sector experience would serve an advantage, such as Gaming background, digital, retail or e-Commerce.
• Is fluent in English with exceptional writing capabilities.
• Is an excellent communicator and good team and leadership skills, with ability to build close relationships with colleagues and key stakeholders.
• Has listed experience or within a high-growth business a benefit but not essential.
• Is able to provide support to colleagues at all levels including training where necessary

What you’ll be doing:

Key responsibilities:

Primary:

• Strategic Alignment:
  • Evaluate and select projects that align with the organizations and departments strategic vision and priorities. 
  • Analyze project proposals to assess their potential impact and alignment with business and departmental goals. 
  • Regularly communicate portfolio status and performance to key stakeholders, including senior management. 

• Resource Management:
  • Optimize resource allocation across projects within the portfolio to maximize efficiency and effectiveness. 
  • Identify resource constraints and proactively address potential bottlenecks. 
  • Collaborate with project managers to ensure efficient resource utilization. 

• Performance Monitoring:
  • Track key performance indicators (KPIs) of each project within the portfolio. 
  • Regularly assess project progress and identify areas for improvement. 
  • Generate reports to provide visibility into portfolio health and potential risks. 

• Risk Management:
  • Identify, assess, and mitigate potential risks across the project portfolio. 
  • Develop contingency plans to address potential issues and minimize impact. 
  • Monitor risk levels and escalate critical issues as needed. 

• Project Prioritization:
  • Utilize established criteria to prioritize projects based on business value, urgency, and resource availability. 
  • Facilitate decision-making processes to select projects for execution and potentially de-prioritize or cancel others. 

• Stakeholder Management:
  • Build and maintain strong relationships with key stakeholders across different departments. 
  • Communicate effectively to ensure alignment on portfolio goals and expectations. 
  • Address concerns and manage stakeholder expectations throughout the project lifecycle. 

Secondary: (on an as needs basis)

• Project Manager:

Oversee Business process reengineering and digital transformation projects, ensuring they stay on track with timelines, budget, and scope. 

• Business Analyst:

Analyze existing business processes, identify pain points, and define requirements for needful Transformation. 

• Change Manager:

Facilitate organizational change by communicating the transformation vision, training employees, and managing resistance. 

• Assist with ad-hoc projects and tasks (on an as needs basis)

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

We are looking for an experienced Senior Data Analyst to join our Product Analytics team and help us scale and improve our products across 50+ countries.

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200+ million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

Our whole platform lives and breathes on data, and in order to succeed we are a highly data-driven company. Every step of our product development is accompanied by Data Analysts who identify opportunities, estimate the impact, collaborate on delivery and measure the effect.

Every Product Analyst at Bolt is embedded into a particular product team. We have three product verticals that build our core products – Ride-Hailing, Delivery (Bolt Food and Bolt Market) and Rentals (e-bikes, scooters, and carsharing), as well as two horizontals - Platform and Incentives. Platform team develops our own geo, user identity, automation and customer support products. Incentives team supports every customer-facing product with strategy and methodology on optimisation, long-term forecasts and large-scale A/B testing

We have many open roles in Bolt’s growing Product Analytics team. Once you apply, you will go through a universal process that will allow you to learn more about the Product Analytics function and help us find the best product team that matches your skills and aspirations!

We believe that every decision can and should be accompanied by data - if you feel the same way, you’ll fit right in! Scroll down to find out what daily adventures you can face as a Product Analyst at Bolt!

• Interpret data, analyse results using statistical techniques and provide reports to make business recommendations (e.g. cost-benefit, forecasting, impact analysis)
• Proactively work together with other stakeholders to communicate data-based insights
• Identify, analyse, and interpret trends or patterns in complex data sets
• Work with Product Managers to prioritise business and information needs

• You hold BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• You have at least 2-4 years experience dealing with large volumes of data
• You can rank your SQL skills as “outstanding” and Python/R experience as “profound”
• You have experience with some BI tools and data visualisation
• You can prove your ability to lead experimentation: applied statistics, designing and analysing experiments, providing recommendations
• Your verbal and written communication skills are outstanding and you are fluent in English

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.