Intermediate Data Analyst

Vivid

ABOUT THE ROLE We are on a mission to continuously improve our products, identify and solve user problems and introduce new features to make financial management more straightforward and more rewarding. As a Product Analyst in the Anti-Financial Crime Team at Vivid, you will play a pivotal role in shaping the future of our products and services. YOUR MISSION * Build and maintain a system of automated reports and tools. * Provide analytical support to the team, checking hypothesis and extracting insights from the data. * Take an active role in improving our internal Antifraud products: identify problems and behaviour patterns of our users, propose ways to solve them, and come up with new and enhanced existing rules and alerts. * Support new features launch: create metrics that reflect the feature's quality, and evaluate results. * Formulate hypotheses for A/B testing, design, analyse results. * Engage in effective communication with partners. * Track assigned projects' progress. * Collaborate with adjacent teams to develop comprehensive cross-team solutions for products. YOUR PROFILE * At least 3 years of work experience in an analyst role. * Advanced SQL knowledge. * Advanced knowledge of data visualisation tools (we use Tableau). * Ability to see a business meaning behind the data and communicate it in the clearest possible way (even if it's complicated topic). * Upper intermediate level of English. Would be a plus * Applied probability theory and mathematical statistics knowledge – A/B tests, causal inference, etc. * Proficiency in using Python for data analytics (ex NumPy, Pandas). * Experience in risk, compliance, or anti-fraud fields. WHY JOIN VIVID? * We have a hybrid model in one of our offices, Limassol, or Almaty, or fully remote outside office locations. * We support relocation to Cyprus (visa, package) when needed. * Learning & development budget to support your professional growth.  * Fully paid vacation and sick leave.  * Sports compensation.  * Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one. Enhance your expertise and shape the future of FinTech. Join Vivid's talented team and help us revolutionize how people think about their money! COMPENSATION RANGE Final compensation is determined individually, based on your experience, skills and the scope of the role, assessed against objective, gender-neutral criteria. ABOUT VIVID At Vivid, we're on a mission to change how businesses and individuals manage their money across Europe. For businesses, we build tools that actually make a difference: multi-IBAN accounts, high-yield savings, business cashback, team cards, and accounting integrations that save real time — all in one place. And for individuals, we offer a simple way to manage and grow your wealth: access to global stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights. Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality. Founded in 2019 in Berlin by Alexander Emeshev and Artem Iamanov, Vivid has quickly grown into one of Germany's top financial platforms for SMEs and private accounts. Since then, we've expanded rapidly across Europe, earning the trust of over 500,000 customers — and with over €200 million raised and a valuation of €775 million, we're just getting started. We're building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making. This changes how we work: less manual execution, more ownership in building systems that scale. We want to help define what AI-native looks like in a regulated financial environment — and we're looking for people who want to build that future with us.

AB InBev

About Us AB InBev is the leading global brewer and one of the world's top 5 consumer product companies. With over 500 beer brands, we're number one or two in many of the world's top beer markets, including North America, Latin America, Europe, Asia, and Africa. About BEES Join us to build the future of B2B commerce! BEES is AB InBev's B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference! What You'll Do - Own high-visibility FinOps and data initiatives tied to the company's most strategic KPIs. - Drive company-wide cost performance with an Excellence in the Means mindset, ensuring disciplined execution, sustainable efficiency, and measurable impact. - Lead optimization programs across Databricks workloads, pipelines, clusters, and storage to unlock scalable efficiency. - Build executive-ready dashboards and narratives that translate cost and performance into business impact. - Monitor spend in real time, detect anomalies early, and orchestrate swift cross-team action. - Define and elevate FinOps governance, standards, and accountability across domains. - Partner with engineering and platform teams to shape cost-efficient architecture decisions from day one. - Drive showback/chargeback transparency and strengthen unit-economics visibility at domain level. - Influence budget planning and forecasting with data-driven insights and ROI-based prioritization. - Convert technical findings into clear recommendations for product, finance, and leadership stakeholders. - Collaborate with Data, Finance, Product, Cloud, and Ops to accelerate measurable business outcomes. What You'll Need - Degree in Engineering, CS, Economics, Stats, Math, or related fields. - Strong SQL skills for cost, usage, and performance analysis. - Python proficiency for analytics, automation, and data workflows. - Hands-on FinOps and cloud cost optimization experience. - Experience with Databricks and modern data platform environments. - Experience with BI tools. - Knowledge of Azure cost drivers (AWS/GCP is a plus). - Ability to prioritize initiatives by ROI and business impact. - Strong problem-solving and execution in fast-paced environments. - Advanced English for global written and verbal communication. More About You - Clear communicator who turns data into actionable insights. - Collaborative partner across international and cross-functional teams. - Detail-oriented with high standards for quality and accuracy. - Proactive and ownership-driven from idea to execution. - Adaptable, resilient, and comfortable with changing priorities. - Strategic thinker focused on business value and FinOps maturity. What We Offer - Performance based bonus* - Attendance Bonus* - Private pension plan - Meal Allowance - Casual office and dress code - Days off* - Health, dental, and life insurance - Medicines discounts - WellHub partnership - Childcare subsidies - Discounts on Ambev products* - Clube Ben partnership - Scholarship* - School materials assurance - Language and training platforms - Transport allowance   *Rules applied Equal Opportunity & Affirmative Action AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group can analyze diversity and reduce bias in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: [www.abinbev.com](https://www.abinbev.com)

AB InBev

What You Do * Support the development and maintenance of data pipelines, ingestion processes, and data transformations. * Create and maintain SQL queries, Python scripts, and Spark-based workloads used for data processing and analytics. * Assist in troubleshooting pipeline failures, data quality issues, and operational incidents. * Work with senior engineers to implement schema mappings, transformation logic, and data validation rules. * Ensure datasets meet expected schemas, data contracts, and quality standards. * Support metadata management, dataset documentation, and lineage activities. * Assist in maintaining data classification information according to company standards. * Help automate repetitive operational and data management tasks to improve efficiency and reliability. * Contribute to monitoring, alerting, and operational support for data pipelines and workflows. * Participate in testing activities, including unit tests, transformation validation, and data quality checks. * Follow established engineering standards, coding practices, and team development patterns. * Learn and apply security, privacy, and compliance requirements when handling sensitive or regulated data. * Collaborate with Data Governance, Security, and Compliance teams when required. * Contribute to continuous improvement initiatives focused on data trust, reliability, and operational excellence. Requirements and Qualifications * Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or related fields. * Basic to intermediate English. * Up to 2 years of experience in Data Engineering, Software Engineering, Data Analytics, or related areas. * Knowledge of SQL and Python. * Understanding of ETL/ELT concepts and data transformation processes. * Familiarity with relational databases and data warehousing concepts. * Basic knowledge of Spark, Databricks, or distributed data processing frameworks. * Familiarity with Git and version control workflows. * Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud. * Knowledge of automation concepts and scripting for operational efficiency. * Basic understanding of data quality concepts and validation practices. * Familiarity with data governance principles, including metadata, ownership, stewardship, and documentation. * Basic knowledge of data classification concepts (Public, Internal, Confidential, Restricted). * Understanding of data lineage and traceability concepts. * Awareness of security best practices, including access management, secrets management, and least-privilege principles. * Strong analytical, problem-solving, and communication skills. * Willingness to learn new technologies and collaborate across teams. Security, Compliance & Governance * Follow company standards for handling sensitive and regulated data. * Apply data classification requirements when creating or maintaining datasets and pipelines. * Use approved authentication, authorization, and secrets management mechanisms. * Avoid exposing sensitive information through logs, exports, testing data, or documentation. * Support auditability by maintaining documentation, metadata, and lineage information. * Escalate security, privacy, or compliance concerns when requirements are unclear. * Follow established governance processes and contribute to improving data trust across the organization. How You Work * Demonstrate curiosity and a continuous learning mindset. * Write clean, readable, and maintainable code. * Follow coding standards, testing practices, and development workflows. * Communicate progress, blockers, and technical questions clearly. * Participate in code reviews and knowledge-sharing activities. * Take ownership of assigned tasks while escalating risks or uncertainties appropriately. * Contribute positively to team collaboration and a culture of continuous improvement. Nice to Have * Experience with Databricks, dbt, or similar technologies. * Familiarity with CI/CD tools such as GitHub Actions, Azure DevOps * Familiarity with APIs, JSON, event-driven architectures, or messaging systems. * Exposure to vulnerability scanning, secret scanning, or secure development practices. * Understanding of privacy regulations such as LGPD, GDPR, or similar frameworks.