ABOUT THE TEAM: 

Our CRM Acquisition team is responsible for driving customer growth through targeted campaigns, data-driven strategies, and personalised communication. As we operate across diverse markets, team collaboration often spans multiple countries and cultures.

WHAT WE ARE LOOKING FOR:

We’re looking for a detail oriented, curious, explorative, commercially focused CRM Manager looking for their next step - someone that will take on and help us expand rapidly growing markets at Tide. You will play a key role in building targeted communications across digital channels to attract, convert, and onboard new users, leveraging data and automation to drive performance. Candidates must be able to communicate effectively in English, both verbally and in writing.

As a CRM Manager you’ll be: 

• You will work in a multinational team of passionate CRMers, Product marketers and Product Managers with a track record of delivery, who are dedicated to collaboration, innovation and ownership, with a central focus on helping our members save time and money, so they can get back to doing what they love.
• You’ll own the applicant's journey, as well as the campaign strategy and planning process and deliver a first class automation and personalisation programme. This will incorporate multiple marketing channels and touchpoints, with the end goal to engage, nudge and nurture new applicants to join Tide. 
• Plan and execute CRM campaigns aimed at customer acquisition across email, SMS, push notifications, and in-app messaging.
• Work with analytics and data teams to identify high-conversion segments and personalise communication journeys.
• Use marketing automation platforms (e.g., Salesforce, Braze, Iterable) to build and optimize customer journeys.
• Continuously A/B test messaging, design, and CTAs to improve campaign effectiveness.
• Report on CRM campaign performance and acquisition KPIs, providing insights for optimization.
• Stay up to date on CRM and customer acquisition trends, tools, and best practices.
• Analysing campaigns and reporting out to immediate stakeholders on trends and recommendations and using data to define, build and maintain segments including building and maintaining reporting dashboards to track CRM performance.
• Work closely with the rest of the Acquisition Marketing team as well as a number of other cross-business stakeholders.
• Continuously look for optimisations and new ideas to develop engagement marketing opportunities.

What makes you a great fit:

• Fluency in English is essential for this role.
• You have c.5-7 yrs of expertise in end-to-end CRM marketing management .
• You’ve developed and delivered CRM programmes, demonstrating proven results against targets.
• You’ve got a great hands on skill set for automation, personalisation across multiple platforms. 
• You have hands-on experience with CRM platforms e.g. Iterable, Hubspot, Braze, salesforce and an understanding of HTML and CSS.
• You have experience handling campaign data from different sources using BI tools e.g. Looker, Tableau, and experience turning this data into strategic insights.
• You have experience in segmentation and targeting.
• You have excellent communication skills – you can build campaigns and relationships,  coach and inspire technical and non-technical colleagues, across all levels of the business, and are able to pitch the message differently, and clearly, to all.
• You are well organised with a passion for speed and efficiency. 
• You love to take the initiative and are comfortable taking measured risks. 
• You love a big challenge - especially for your targets. 
• You use data and evidence above your opinion. 
• You are able to adapt quickly and efficiently to changing priorities, while supporting your own team and the wider Team….you are happy to work as part of “One Team” at Tide.
• You have A/B and MVT testing experience.
• You have good Excel skills as well as experience with business reporting tools (e.g. Tableau, Looker) .
• You have the ability to handle multiple projects and adapt to changing priorities.
• You are hands-on, delivery oriented, and results-driven, with a pragmatic implementation style.
• You may have worked in Financial Services, start-ups, finance services or tech space.
• You have a curious nature, good organizational skills and impeccable attention to detail.

WHAT YOU’LL GET IN RETURN: 

• 25 days paid annual leave 
• 3 paid days off for volunteering or L&D activities
• Personal L&D budget
• Mental wellbeing platform 
• WFH equipment allowance
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

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 

• Design, build, and maintain robust data pipelines for real-time and batch processing  

• Develop and optimize data architectures that support data ingestion, transformation, enrichment, and storage, ensuring scalability and efficiency, using AWS technologies 

• Set up and maintain AWS SageMaker environments for model development and deployment 

• Create and manage test datasets with proper versioning techniques using tools  

• Implement monitoring, logging, and alerting for data pipelines to ensure reliability, quality, and accuracy of data outputs 

• Collaborate with Research and ML Engineers to streamline the ML workflow 

• Ensure ML pipelines and model deployments meet security and compliance standards aligned with OPSWAT’s critical infrastructure cybersecurity context 

What We Need From You 

• 3-5 years of experience in data engineering, platform engineering, or MLOps roles 

• Strong proficiency in Python and AWS cloud services 

• Experience with containerization (Docker) and orchestration tools 

• Understanding of ML model deployment and monitoring best practices 

• Experience with AWS SageMaker or similar ML platforms 

• Familiarity with data preparation for machine learning workflows 

Nice to Have 

• Experience with Rust programming language 

• Knowledge of Kafka, Kinesis, or other streaming platforms 

• Experience with additional data orchestration tools and frameworks 

• Advanced capabilities in data visualization tools like PowerBI, Tableau, or similar 

• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation 

• Experience with Feature Stores and ML metadata tracking systems 

• Familiarity with ML experiment tracking tools (MLflow, Weights & Biases) 
• A passion for driving data-driven decisions and fostering a collaborative data culture 

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.

About the Role

We are looking for an experienced Campaign Manager to lead global, enterprise-focused campaigns in the rapidly evolving space of data security and AI governance. This role is ideal for a marketer who thrives in a fast-paced environment, can translate complex security and AI concepts into compelling enterprise narratives, and is motivated by measurable business impact.

You will own end-to-end campaign strategy and execution, working cross-functionally with Product Marketing, PR, Digital, Field Marketing, and regional teams to drive awareness, engagement, and pipeline for Veeam’s Security and AI governance go-to-market initiatives.

What You’ll Do

• Own and execute global go-to-market campaigns focused on data security, privacy, and AI governance
• Develop and launch integrated, end-to-end campaigns aligned with enterprise buyer journeys — from awareness to pipeline generation
• Translate complex topics (AI risk, data protection, governance, resilience) into clear, compelling value propositions and messaging in partnership with Product Marketing
• Design and execute omnichannel programs across paid media, email, web, social, webinars, and virtual or in-person events
• Leverage segmentation, intent data, and ABM strategies to improve engagement quality and conversion across enterprise accounts
• Collaborate with and manage internal and external stakeholders (creative teams, digital teams, agencies, regional marketers) to deliver high-quality campaign assets
• Build campaign roadmaps, messaging frameworks, and promotional plans tailored to buyer personas and use cases
• Manage campaign budgets and optimize ROI and ROAS
• Analyze performance data, report insights to senior stakeholders, and continuously optimize campaigns based on results
• Ensure alignment between global strategy and regional/field marketing execution
• Support annual and quarterly planning, forecasting, and prioritization for campaign initiatives

What You’ll Bring

• 6–8+ years of experience in B2B marketing campaign management, with a focus on enterprise audiences
• Strong background in B2B technology, SaaS, security, data, or AI-related domains
• Proven ability to manage complex, global campaigns in fast-paced and evolving environments
• Deep understanding of enterprise buying committees, executive personas, and buying group dynamics
• Hands-on experience with ABM strategies and tools (e.g., 6sense or similar)
• Strong expertise in omnichannel digital marketing (paid media, email, social, web, webinars)
• Analytical mindset with the ability to translate data into actionable insights
• Excellent communication and stakeholder management skills, including experience presenting to senior leadership
• Ability to operate effectively in ambiguous environments and adapt quickly to change
• Bachelor’s degree or equivalent combination of education and experience
• Advanced English proficiency

Tools & Knowledge

• Enterprise campaign management and demand generation best practices
• Digital marketing across paid, owned, and earned channels
• Executive-level messaging and copywriting
• Analytics and reporting tools (e.g., Tableau, Power BI)
• Project management tools (e.g., JIRA, Monday.com)
• Salesforce experience is a plus
• ABM and intent data platforms (e.g., 6sense) are a plus

What You’ll Get 

• 21 annual vacation days, additional days based on tenure, plus 4 global VeeaMe Days for self-care
• Private health, dental, and vision insurance for employees and dependents
• Mental health support with up to 12 free therapy sessions
• Private hospital coverage for planned and emergency care
• Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
• Life, critical illness, and disability insurance
• One paid volunteer day annually through Veeam Cares
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program

#LI-AP1

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.

We’re looking for a Performance Marketing Executive who’s passionate about performance marketing and eager to drive results in a fast-paced environment.
If you love diving into data, optimizing campaigns and uncovering growth opportunities, this might be the perfect role for you!

We're looking for someone who:

• Running and optimizing PPC campaigns across Google Ads, whether in an agency or in-house with an experience of 2-3 years minimum (ideally in iGaming, Gambling, Sport Betting or e-commerce)
• Leveraging data and analytics to fine-tune campaigns, ensuring efficient performance and growth
• Keeping up with the latest trends in Search & YouTube marketing, applying new strategies to stay ahead of the curve
• Maximizing the impact of Smart Bidding campaigns by understanding Google’s best practices and optimization techniques
• Creating reports and analyses to track key business KPIs, identifying areas for improvement and action
• Running A/B tests (ad copy, bidding strategies, etc.) and making data-driven decisions based on results
• Proactively researching new growth opportunities for Google Search, bringing fresh ideas to the table
• Understanding conversion funnels and having a solid grasp of Google Ads (experience with UAC, Looker Studio, Optimizely, Google Analytics, or Tableau is a plus!)
• Thriving in a collaborative yet independent environment—comfortable working in a small team while contributing to a large-scale organization
• Being open to business travel, embracing new challenges and opportunities along the way
• Communicating confidently in English (both written and spoken)

If you’re data-driven, proactive, and excited about making an impact, we’d love to hear from you!

Bonus points if you: 

• You have experience in the iGaming industry or are a sports enthusiast who understands the market
• You’ve managed Google Ads performance campaigns for large clients, driving measurable results
• You hold a Google Ads and/or Google Analytics certification, showing your expertise in the field
• Have a strong knowledge of Excels formulas and analytics tools

What you'll be doing? 

• Create, analyze and optimize Google Ads Performance marketing campaigns (mainly Paid Search and Youtube) for Brazil market and opportunity on other upcoming markets to meet business objectives
• You will be part of a multicultural team (based in Brazil, Romania, Poland, UK, Ireland, Belgium, Croatia, Serbia) that has an excellent knowledge of Paid Channels, Martech tools, Gambling&Sports industry in different markets that enjoys and appreciate knowledge sharing
• Identify opportunities for customer acquisition growth Identifying SEM targets for growth of visibility, traffic, acquisition and efficiency
• Conduct thorough research and analysis on our competitors, including their strategies, market positioning, product offerings, and customer feedback. Identify strengths, weaknesses, opportunities, and threats to help us refine our own business strategies.
• Monitor Google Ads budget & performance for evaluating, proposing and implementing most suitable optimization to meet business marketing objectives
• Ensure best practices are adhered to with regards to Search account structure, campaign setup and optimization, while leveraging all best practices to maximize performance from YouTube campaigns
• Working closely with other departments to brief opportunities, promos and landing page setup to fit with PPC and business goals 
• Working closely with other acquisition channels / internal teams, ensuring knowledge share in order to achieve business objectives
• Have access to multiple learning resources and opportunities such as: dedicated workshops, attending local and global conferences, having an LCS support from Google, attend courses, having access to e-learning platforms, travel for business purposes

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

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

We are looking for a solutions-driven Operations Specialist to oversee supply and demand & to optimize and strategically propose innovation for our ride-hailing operations in Romania.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

We are looking for an ambitious Operations Specialist to analyze market, operational and financial data provided to form business insights, spot potential for development and recommend changes in the business in order to manage and grow supply and demand for our ride-hailing operations in Romania. You will get to build models and run optimization projects for the continuous improvement of one of our key areas, ranging from Riders to Drivers, to Fleets, Marketplace etc.

You will be working closely with the Operations Manager(s), where your work will have a direct impact on business growth by achieving supply milestones and key metrics.

• Gathering and analyzing data from various sources (rides data, user feedback, financial reports, etc.) to monitor supply/demand performance and create reports with key insights for stakeholders.
• Tracking and developing KPIs (e.g.: ride volumes, driver availability, customer satisfaction, and revenue) and dashboards to monitor real-time company performance.
• Conducting and benchmarking market research to understand trends and compare company performance against competitors.
• Documenting and optimizing business processes to improve operational efficiency and customer experience.
• Developing and recommending scenarios and strategies to support strategic planning and forecasting.
• Leading projects and communicating with cross-functional teams (Product, Marketing, etc.) to ensure operational success and alignment on business goals.

• You have a data-driven mindset and you approach projects methodically, with a background of 1-2+ years of experience in either an analytical position or a project management one.
• You are a strong collaborator with excellent communication skills (both verbal and written) in English and Romanian
• You are skilled in data analysis using tools like Excel/Google Sheets, with nice-to-haves like Looker and/or Tableau.
• You have demonstrated expertise in working with financial data and a proven ability to interpret and analyze numerical information effectively.
• You have a solid understanding of the business landscape, including market trends and competitor analysis - you think strategically and align your analyses with business goals.
• You can prioritize and manage multiple tasks simultaneously, staying well-organized and meeting deadlines.

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!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)

Are you excited about building analytics foundations that people can truly rely on, turning complex business questions into trusted datasets, metrics, and reporting experiences? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering with product, commercial, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers and analytics engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design and build curated analytical datasets, metric implementation, and semantic models that enable consistent self-service analytics across the company
• Work hands-on with data warehouse modelling to turn evolving product and business needs into scalable, reusable data structures
• Partner closely with product, data scientists and business stakeholders to clarify requirements and translate them into reliable data models and reporting-ready outputs
• Build and own production dashboards (Tableau) on top of curated datasets and metric definitions, ensuring correctness, performance, and a consistent “single source of truth”
• Contribute to data quality, observability, lineage, and documentation practices to increase trust and reduce firefighting
• Promote reuse over reinvention, identify ad-hoc logic in reporting views or custom SQL and refactor it into curated, high-quality models that multiple teams can rely on.
• Raise the engineering bar through reviews, testing, automation, and pragmatic architectural improvements
• Apply engineering rigor to analytics - treat semantics as code utilizing version control, testing, automation, and CI/CD practices to manage the lifecycle of our business logic.
• Drive self-service adoption - create the foundations that allow analysts and business users to explore data safely and independently, without needing to reinvent the wheel.
• Work embedded within Data Engineering squads, collaborating daily with both data engineers and analysts on shared foundations and end-to-end delivery

We're looking for:

• Strong SQL skills and proven experience building analytical datasets and metrics in a modern data warehouse (Snowflake preferred, BigQuery, Redshift and similar also valuable)
• Solid understanding of data warehouse modeling and best practices (dimensional modeling, fact/dimension design, grains, slowly changing dimensions, semantic consistency)
• Experience working with reporting and BI tools (Tableau preferred), including understanding how data sources, extracts, and dashboard logic impact correctness, performance, and trust
• A production mindset: you care about reliability, maintainability, documentation, and operational ownership, not just creating a dataset once
• Strong ownership and collaboration skills, able to drive clarity in ambiguous problem spaces and partner effectively with both technical and non-technical teams
• Excellent communication skills with a pragmatic, problem-solving approach

Bonus points for:

• Experience with orchestration and workflow tooling (Airflow or similar)
• Experience with data cataloging, lineage, and governance tooling (e.g., DataHub)
• Background in product-led, experimentation-driven, or high-growth environments where definitions evolve quickly
• Experience supporting downstream operational consumers (e.g., CRM/audience platforms) or ML/feature engineering use cases
• Familiarity with streaming/event-heavy ecosystems (Kafka or similar)

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

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

About the job

The world’s most critical--and at risk--business applications have been neglected for far too long. Onapsis eliminates this blind spot by providing cybersecurity solutions dedicated to business-critical applications. Whether running on premises, in the cloud, or in a hybrid environment, Onapsis helps nearly 30% of the Forbes Global 100 understand the threats and risks across their SAP and Oracle landscapes.

We are seeking a Senior Data Engineer to join our mission-driven team. This role is ideal for experienced data engineers with a proven track record in architecting scalable data pipelines, leveraging cloud technologies, and contributing to high-impact cybersecurity solutions. You will be responsible for building high-performance ETL frameworks, optimizing data platforms, and contributing directly to the enhancement of our customers' threat detection, response, and remediation capabilities.

What you will be doing, your legacy: 

You will be working directly with company Principal Engineers evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. You will play a direct role in laying the technical foundation for a new product offering. Additionally, you will be working with Engineering and DevOps to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure best practices are followed. 

Responsibilities:

• Architect and Design Scalable Data Solutions: Design/develop/maintain Data lakehouse solutions (Iceberg/Delta Lake /Hudi) applying industry best practices and structuring / optimizing the data according to data access patterns.
• Data Pipeline Development: Implement ETL/ELT pipelines using cloud technologies (Spark / pySpark / Glue, Kinesis Streams / Iceberg) to load the data into a Lakehouse for both efficient ML processing and UI reporting.
• Implement data models and data processing frameworks (Spark, Kafka, Snowflake) to ingest, transform, and load large datasets into Data Lakehouse techs (Apache Iceberg, Apache Delta Lake or Apache Hudi), ensuring high availability and reliability of data.
• Advanced Data Integration: Develop solutions that integrate multiple data sources into Snowflake or similar data warehouses to enable real-time analytics and reporting across dashboards.
• AI/ML Integration: Collaborate with cross-functional teams to co-develop AI-driven features identifying patterns and anomalies in client data using AI/ML technologies (python).
• Compliance and Security: Ensure compliance with industry standards and secure best practices (SOX, SOC 1/2), by implementing data governance frameworks, monitoring data pipelines, and optimizing cloud database architectures to protect sensitive information.
• Stakeholder Collaboration: Work closely with stakeholders, including analysts, engineers, and product managers, to understand their data needs, propose solutions, and drive data-driven decision-making by delivering actionable insights.
• Data Infrastructure Monitoring: Continuously monitor, troubleshoot, and enhance data pipelines, leveraging CI/CD tools (Docker, Jenkins, GitHub Actions) and orchestrating workflows using Apache Airflow to maintain operational efficiency.
• Leadership and Mentorship: Provide hands-on mentorship and technical guidance to junior engineers, including code reviews and architecture discussions.
• Documentation and Governance: Establish comprehensive documentation for data architecture, governance, and processes to ensure scalability, compliance, and security.

Qualifications:

• 5+ years of proven experience as a Data Engineer or in a similar role with a deep understanding of data architecture and cloud-based ETL/ELT frameworks.
• Strong experience with AWS (preferably) or Azure , particularly with Glue, EMR, S3, Lambda. Databricks, Snowflake, Synapse experience is a bonus.
• Proficiency in big data technologies such as Apache Spark, Kafka, Hadoop, and Databricks for distributed data processing.
• Proficiency with Python libraries for data processing and ML (e.g., Pandas, NumPy, Polars, Scikit-learn, PyTorch, TensorFlow).
• Hands-on experience in building real-time data processing and AI/ML-driven analytics solutions (SageMaker, Bedrock, NLP, Power BI).
• Ability to architect and manage data lakehouse solutions (Iceberg / Delta Lake / Hudi) or classic warehouse solutions (Redshift, Snowflake).
• Familiarity with compliance and audit requirements (SOX, SOC 1/2, GDPR) and implementing data governance and security frameworks.
• Strong problem-solving skills with a focus on data integrity, scalability, and performance optimization.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Docker) and data orchestration platforms (Apache Airflow).

Preferred Qualifications:

• Experience with advanced data architecture principles (medallion architecture, materialized views, task scheduling).
• Experience using BI tools (e.g., Power BI, Tableau) for real-time analytics and operational reporting

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.

Location: Onapsis is established a new development center in Bucharest. This is a hybrid role (1-2 days per week from the office), so candidates must be commutable to Bucharest every week.

About Onapsis:

Onapsis protects the business applications that run the global economy. The Onapsis Platform delivers vulnerability management, change assurance, and continuous compliance for business applications from leading vendors such as SAP, Oracle, and others. The Onapsis Platform is powered by the Onapsis Research Labs, the team responsible for the discovery and mitigation of more than 1,000 zero-day vulnerabilities in business applications.

Onapsis is headquartered in Boston, MA, with egional offices in Heidelberg, Germany; Buenos Aires, Argentina; Texas, USA, and now in Bucharest, Romania; and proudly serves hundreds of the world’s leading brands, including close to 30% of the Forbes Global 100, six of the top 10 automotive companies, five of the top 10 chemical companies, four of the top 10 technology companies, and three of the top 10 oil and gas companies. 

For more information, connect with Onapsis on LinkedIn or visit https://www.onapsis.com.

#LI-AC1

#LI-Hybrid

We are looking for a solutions-driven Senior Operations Specialist to oversee supply and demand & to optimize and strategically propose innovation for our ride-hailing operations in Romania.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

We are looking for an ambitious Senior Operations Specialist to analyze market, operational and financial data provided to form business insights, spot potential for development and recommend changes in the business in order to manage and grow supply and demand for our ride-hailing operations in Romania. You will get to build models and run optimization projects for the continuous improvement of one of our key areas, ranging from Riders to Drivers, to Fleets, Marketplace etc.

You will be working closely with the Operations Manager(s), where your work will have a direct impact on business growth by achieving supply milestones and key metrics.

• Gathering and analyzing data from various sources (rides data, user feedback, financial reports, etc.) to monitor supply/demand performance and create reports with key insights for stakeholders.
• Tracking and developing KPIs (e.g.: ride volumes, driver availability, customer satisfaction, and revenue) and dashboards to monitor real-time company performance.
• Conducting and benchmarking market research to understand trends and compare company performance against competitors.
• Documenting and optimizing business processes to improve operational efficiency and customer experience.
• Developing and recommending scenarios and strategies to support strategic planning and forecasting.
• Leading projects and communicating with cross-functional teams (Product, Marketing, etc.) to ensure operational success and alignment on business goals.

• You have a data-driven mindset and you approach projects methodically, with a background of minimum 3-4 years of experience in either a highly analytical position or a project management one.
• You are a strong collaborator with excellent communication skills (both verbal and written) in English and Romanian
• You are skilled in data analysis using tools like Excel/Google Sheets, with nice-to-haves like Looker and/or Tableau.
• You have demonstrated expertise in working with financial data and a proven ability to interpret and analyze numerical information effectively.
• You have a solid understanding of the business landscape, including market trends and competitor analysis - you think strategically and align your analyses with business goals.
• You can prioritize and manage multiple tasks simultaneously, staying well-organized and meeting deadlines.

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!

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

*Some perks may differ depending on your location and role.