• 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.

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

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

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

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.

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

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