Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

Join our Health, Localisation, and Internationalisation team as a Senior Product Analyst. You will focus on scaling our reach into new territories and optimizing the product journey to ensure it resonates with users in every region.

You'll be responsible for:

• Working closely with Product Managers, UX Researchers, Designers, and Engineers to support data-driven decision-making across the product.
• Identifying new growth opportunities, including underserved user segments, use cases, and regions with high potential for product expansion.
• Helping the team understand which company-level goals can be influenced through experimentation, defining relevant proxy metrics, and monitoring them over time.
• Supporting hypothesis formulation and prioritization using data: estimating segment sizes, potential impact, expected uplift, and defining clear success metrics, while accounting for user behavior patterns.
• Helping the team prioritize ideas and initiatives based on expected impact, confidence level, and effort.
• Participating in product planning and roadmap discussions, providing analytical input to shape priorities and investment decisions.
• Evaluating experiment results in terms of their overall impact on core product metrics, not just local effects.
• Translating analysis results into clear, actionable recommendations for the team and stakeholders.

Your Experience

Must have:

• At least 5+ years of work experience as a Data/ Product Analyst;
• Experience with A/B testing, knowledge of statistics for A/B testing;
• Advanced SQL/Python / R for data analysis;
• Experience in data visualization in Python/ Looker /Tableau or similar.

Nice to have:

• Experience in subscription business;

Ranges may vary depending on your skills, competencies and experience.

#LI-KP1 #LI-Hybrid 

About the Job:

You will be the technical lead within our release orchestration and deployment product development teams. You will build upon our software stack that is being run by numerous Fortune 5000 companies in the world to streamline their DevOps processes at scale. We are looking for owners, people that can pick up a something from a range of topics and become experts, producing a quality solution that will last, and leaders, that can encourage team members with their work and personality to produce the best solutions. The position is full-stack, but with backend affinity – passionate about architecture, performance and scalability.

What you will do:

• Serve as the Technical Lead for our Release Orchestration product development teams.
• Own your space and pick up a range of topics to become an expert and produce a quality solution that will last.
• Lead by example with your work expertise and inspire your team with your personality to produce the best solutions.

What you will bring:

• Located in Lithuania. Candidates outside Vilnius will be considered for a hybrid work schedule, coming to office occasionally as needed.
• Bachelors degree and professional experience crafting enterprise softwareValidated experience in application/product development using a broad range of programming technologies including:
• At least 5 years of experience developing full-stack applications
• Excellent knowledge of object-oriented programming in Java and Scala languages
• Experience with Spring, Akka, ORMs, and SQL databases
• Excellent testing skills with JUnit and ScalaTest
• Solid understanding of DevOps tools and practices, including CI/CD pipelines (GitLab, GitHub Actions), containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
• Practical experience with Go or Kubernetes, cloud platform APIs is a great plus.
• Willingness to share knowledge and mentor team members to support their growth and development
• Growth mindset, continually seeking feedback on ways to improve yourself and the team
• Familiarity with React, TypeScript, JavaScript, and associated tooling
• Understanding of software design and architecture principles to develop maintainable enterprise applications
• Phenomenal written and spoken English skills

For this position we offer a gross salary of 5,200 - 6,250 EUR/month depending on the level of experience.

Why is Digital.ai a great place to be?

Digital.ai offers great benefits including:

• Opportunity to work in an international company
• Outstanding and exciting challenges
• Cash long term incentive plan
• Private health insurance
• Employee referral program
• Free access to O'Reilly 
• Informal work environment and flexible working hours
• Additional days off
• Team building and other unifying events
• Team meals and snacks in the office
• Food delivery voucher
• Office parking

At Digital.ai, we believe in fostering a culture of pay transparency. We are committed to providing our employees with fair and competitive compensation. The current salary for this specific job is estimated to be €62,500 - €70,000 pus bonus. Please note that final compensation will be determined based on factors such as qualifications, experience, and internal equity. We value transparency and aim to create an inclusive and equitable workplace for all our employees. Certain positions at Digital.ai might also be eligible for additional compensation in the form of bonuses, or other employee benefits which are separate from the base salary and to be defined at offer stage.

All are welcome to apply.  We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation.

For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter.

FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role:  

Proton continues to grow rapidly as increasing numbers of people across the globe seek greater privacy controls of their information online. To accelerate our growth, we are seeking a senior leader to drive engineering for one of our many existing or upcoming Products.

We are seeking a Director of Engineering to one of our existing or upcoming Products. This role involves setting and executing technical strategy, team management, and working closely with your senior product managers counterparts, to ensure high-velocity delivery of new products.

As a key member of the engineering leadership team, you will shape the company’s technical strategy and contribute to Proton’s mission of creating a privacy-centric internet. Each product will have its unique challenges and areas of focus, nevertheless we require all Engineering Directors for our Products to have a demonstrated track record of building and scaling customer facing applications, in either a B2C or B2B context, for millions of users, across multiple platforms (mobile, desktop, backend systems and platforms).

In addition to technical expertise, Engineering Directors as senior leaders within Proton, have excellent communication skills, a business mindset, and a strong sense of empathy for the end customers.

What you will do:

• Setting technical direction and vision for one of our Products
• Lead technical design and platform discussions
• Drive continuous improvement in our DevSecOps practices, and improve lead times and time to market while maintaining exceptional standards of product quality
• Hold yourself and team accountable for timely delivery of scalable, quality-focus user experiences and features
• Develop efficient processes, and motivate your team to operate with high velocity, ownership, and accountability
• Lead through others, and develop the next generation of engineering leaders at Proton
• Inspire, coach, and develop your teams
• Optimize your organizational structure, and continuously raise the bar on hiring
• Build strong relationships with senior leaders, and advance your long-term platform and engineering vision
• Contribute to Proton's technology and open source communities
• Foster an inclusive and diverse environment for your team to show up and give their best each day

Our Tech stack:

• Applied cryptography (PGP, TLS, etc.)
• REST APIs
• Event architectures 
• HTTP networking
• SQL, Redis
• PHP (Symfony), Rust, Python
• iOS, macOS (Swift)
• Android (Kotlin, Jetpack)
• Web (Typescript, React)
• Desktop (C#, Swift)
• Infrastructure: MySQL / Ceph

We need you to have:

• Experience in software engineering in progressively complex roles
• Experience directly leading and managing engineers
• Demonstrable experience as a manager of managers
• A history of collaboration with senior leaders in engineering, product on developing technical and product strategy
• Great empathy and collaboration skills, and even greater resilience
• A curious, passionate, and growth-oriented mindset
• Deep experience as a hands-on software engineer creating well-crafted, maintainable systems
• Mobile-first background (ideally former mobile developer)
• Practical experience leading DevOps and SRE initiatives and driving best practices
• Experience with cryptography preferred
• Bonus points for each of the following:

• • Experience with performance tuning and scaling across client, backend, infrastructure
  • Working closely with C-level executives to align on direction, vision and execution
  • Having both, the experience of operating at global scale with millions of customers but also thriving in the chaotic growth phase of scaling up to reach it.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 6480-9720€ (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

Job Overview

We are looking for someone with a passion for both data analysis and gaming industry, to work on one of the most popular mobile tank games - World of Tanks Blitz.
For over 11 years, we have been developing our product based on data and insights obtained from them. Following this approach, you will work closely with product managers, game designers, and developers to continue improving our product. You will be working on developing new telemetry, preparing data marts, developing dashboards, conducting various statistical researches and A/B tests.

Reports to

What will you do?

• Design telemetry for new features.
• Validate data for inconsistencies and outliers.
• Automate data transformations and aggregations for reports and dashboards.
• Develop clear and readable dashboards.
• Dive into the product to collaborate on hypothesis formation with product stakeholders.
• Present the results of your work and promote the data-driven approach at all levels of decision-making.

What are we looking for?

• 3+ years experience on a similar position.                                           
• Hands-on experience working with BigQuery, Snowflake, and Tableau
• Clear understanding of the role and impact of analytics in gaming products.
• Excellent knowledge of statistics and probability theory, experience in applying methods from these sciences in practice.
• SQL is your second language...
• ... and Python is the third one.
• Ability to describe complex processes and events in the form of diagrams and charts in a clear and understanding way.
• Ability to build trusting relationships with colleagues, clearly convey your thoughts, and present yourself and the results of your work.

Work mode

• Hybrid (3 days of work from the office) 
• This role isn't eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:

• 21 days annual leave (additional days based on years of service: up to 25 days) 
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) 
• Sick Leave (10 days top-up to statutory allowance per year)
• Maternity Leave (18 weeks top-up to statutory allowance per case)
• Career development and education opportunities within the company
• English Language courses fully covered by the company upon Manager’s approval
• Premium Private Health Care
• Mental well-being program (iFeel)
• Onsite gym and spa
• Free parking close to the Nicosia offices, based on availability
• Free drinks-equipped kitchen in every floor building
• Eurobank benefits (if applicable)
• Employee discounts (e.g. restaurants, bars, etc.)
• Personal Gaming Account 
• Onsite canteen with subsidized prices for food and drinks
• Company events, Social Clubs
• Seniority Awards  
• Referral program - You can recommend the best talents to the company and receive a reward 

Please submit your CV in English to ensure smooth processing and review.

At Flo, we empower women across the world to improve their health and well-being with an unmatched user experience. 
We are obsessed with understanding the needs of our users, we work in partnership with analysts and user researchers to uncover the ‘why’ and ensure the very best product gets built.

From launching new features to delivering seamless end-to-end journeys, we’re looking for passionate individuals with a growth mindset who can innovate, experiment and move fast.

Become our QA Release Manager and help us smoothly deliver content to the Flo app. Your main objective will be to create and test content within the content management tools, ensuring it is delivered to the audience bug-free.

You will join one of our cross-functional engineering teams while becoming an integral part of our larger QA release management community. You will have the opportunity to contribute to and shape best practices and quality assurance standards, ensuring excellence across our projects.

What you'll be doing:

• Content delivery management (delivering and supporting the content by using the internal content management tools); 
• Manual testing of the new features together with content provided in the app;
• Bug detection and making bug reports in Jira;
• Cross-team communication and assistance in solving cross-team issues (content, designer, support, dev);
• Working in an Agile and fast-paced environment.

Your Experience:

Must have:

• 3+ years experience as QA Engineer/Manual Tester;
• Technical mindset; 
• Experience in using any of Proxy/ API tools, any SQL tool, GitHub/Bitbucket;
• Knowledge of principles of continuous delivery and continuous improvement;
• Excellent soft and communication skills (flexibility, positive attitude, teamwork, responsibility);
• Ability to cope with multitasking (meet deadlines, miss no tasks, be attentive to details);
• Ability to self-organize your routine daily tasks;
• Literacy in the English language.

Nice to have:

• Knowledge of A/B testing basics;
• Knowledge of Mobile or Web testing basics.

#LI-YY1 

Ambitious’, ‘innovative’, ‘highly product-focused’ - those are the words you’d hear if we were asked to describe our Engineering teams. 

They focus on product, platform and the development of internal tools to bring the best experience to all of our customers.

Probably one of the most senior bunches of people in the company - on average, each one of our Engineers has over 7 years of experience!

We are looking for a Senior QA Engineer to join our team and help us deliver high-quality solutions. As part of a cross-functional team, you will be responsible for ensuring comprehensive manual and automated test coverage across our products. Your role will be critical in maintaining system reliability, performance, and seamless user experiences.

What you'll be doing:

• Partner with Product Managers and engineers early in discovery and development to identify risks, edge cases, and gaps before implementation
• Drive test strategy by defining methodologies, quality criteria, and risk-based coverage aligned with User Stories and business goals
• Own end-to-end test planning, from scope definition to execution, ensuring consistent and reliable validation of features
• Drive test automation with a focus on business impact and cost-efficiency, ensuring balanced coverage across the test pyramid and repeatable patterns
• Proactively identify, prioritize, and communicate defects with clear, reproducible reports aligned with team standards
• Leverage data analysis (e.g., SQL) to investigate issues, validate assumptions, and support quality decisions
• Close the loop between production signals (crash analytics, non-fatals, user-impact metrics) and pre-release test design, contributing to incident postmortems
• Act as a quality advocate within Agile teams, influencing processes to improve speed, predictability, and outcomes
• Contribute to and elevate QA practices across the team, driving continuous improvement and knowledge sharing

Your Experience

Must have:

• 5+ years in software quality assurance
• Experience as a QA engineer working with backend technologies such as APIs, DBs (including SQL knowledge) and services
• Experience with mobile platforms and ecosystems, iOS and Android
• Experience in test automation
• Being proactive in gathering non-functional requirements within the team and other departments
• Excellent understanding of testing methodology in Agile product lifecycle
• Positive thinking, quality orientation, reliability, ability to organize, exceptional attention to details
• Good English level – both spoken and written

Nice to have:

• Cross-browser, including mobile browsers and especially Facebook browser, testing with focus on page loading speed (First contentful paint, First Input Delay, server response time)
• Experience in load testing
• Understanding of A/B experimentation and its implication on testing strategy

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision-making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

The salary range for this position is 4000-6500 € (gross) per month.

Note that this salary range is valid for Lithuania, for other locations it might be different.

Work Mode

• Hybrid (2-3 days of work from the office)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 

• Sick Leave Compensation

• Pregnancy and Childbirth Leave Benefit  

• Career development and education opportunities within the company

• Meal Allowance

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Perks discounts platform (over 450 exclusive discounts)

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• Company events 

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

• Have 7+ years’ experience building distributed backend systems
• Know what it takes to make systems fast, reliable and secure and when to prioritise each
• Are fluent in Java, Scala, Python or similar (and curious enough to learn Scala with us)
• Get DevOps, databases (SQL and NoSQL) and love designing APIs that just work
• Have a strong handle on writing clean, documented, version-controlled code
• Take ownership, show initiative and don’t wait to be told
• Are product-minded and always thinking about the end-user impact

Bonus if you’ve worked with:

• Stream processing
• Public cloud infrastructure (AWS, GCP etc.)

You’ll join a senior engineering team that moves fast, thinks big and builds tech used by millions daily. You’ll work on meaningful problems with real impact - in health, privacy and scale. This isn’t just code for the sake of code. This is building the future of personalised health.

#LI-Hybrid #LI-LM12

Job Overview

We are looking for someone with a passion for both data analysis and gaming industry, to work on one of the most popular mobile tank games - World of Tanks Blitz.
For over 11 years, we have been developing our product based on data and insights obtained from them. Following this approach, you will work closely with product managers, game designers, and developers to continue improving our product. You will be working on developing new telemetry, preparing data marts, developing dashboards, conducting various statistical researches and A/B tests.

Reports to

What will you do?

• Design telemetry for new features.
• Validate data for inconsistencies and outliers.
• Automate data transformations and aggregations for reports and dashboards.
• Develop clear and readable dashboards.
• Dive into the product to collaborate on hypothesis formation with product stakeholders.
• Present the results of your work and promote the data-driven approach at all levels of decision-making.

What are we looking for?

• 3+ years experience on a similar position.                                           
• Hands-on experience working with BigQuery, Snowflake, and Tableau
• Clear understanding of the role and impact of analytics in gaming products.
• Excellent knowledge of statistics and probability theory, experience in applying methods from these sciences in practice.
• SQL is your second language...
• ... and Python is the third one.
• Ability to describe complex processes and events in the form of diagrams and charts in a clear and understanding way.
• Ability to build trusting relationships with colleagues, clearly convey your thoughts, and present yourself and the results of your work.

Work mode

• Hybrid (3 days of work from the office) 
• This role isn't eligible for relocation & immigration support.

The salary range for this role in Vilnius is EUR 3700-4500 monthly gross.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 
• Sick Leave Compensation
• Pregnancy and Childbirth Leave Benefit  
• Career development and education opportunities within the company
• Meal Allowance
• Premium Private Health Care 
• Mental well-being program (iFeel)
• Perks discounts platform (over 450 exclusive discounts)
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• Company events 
• Seniority Awards  
• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

Job Overview

We are looking for someone with a passion for both data analysis and gaming industry, to work on one of the most popular mobile tank games - World of Tanks Blitz.
For over 11 years, we have been developing our product based on data and insights obtained from them. Following this approach, you will work closely with product managers, game designers, and developers to continue improving our product. You will be working on developing new telemetry, preparing data marts, developing dashboards, conducting various statistical researches and A/B tests.

Reports to

What will you do?

• Design telemetry for new features.
• Validate data for inconsistencies and outliers.
• Automate data transformations and aggregations for reports and dashboards.
• Develop clear and readable dashboards.
• Dive into the product to collaborate on hypothesis formation with product stakeholders.
• Present the results of your work and promote the data-driven approach at all levels of decision-making.

What are we looking for?

• 3+ years experience on a similar position.                                           
• Hands-on experience working with BigQuery, Snowflake, and Tableau
• Clear understanding of the role and impact of analytics in gaming products.
• Excellent knowledge of statistics and probability theory, experience in applying methods from these sciences in practice.
• SQL is your second language...
• ... and Python is the third one.
• Ability to describe complex processes and events in the form of diagrams and charts in a clear and understanding way.
• Ability to build trusting relationships with colleagues, clearly convey your thoughts, and present yourself and the results of your work.

Work mode

• Hybrid (3 days of work from the office) 
• This role isn't eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave Compensation, Maternity Leave Benefits  
• Premium Private Health Insurance
• Career development and education opportunities within the company
• English clubs and platform for learning languages
• Mental well-being program (iFeel)
• Commuting allowance
• Company events
• FitPass membership
• Discounts for employees
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• On-site canteen with subsidized prices for food and drinks
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.