Data Analyst

• Own the full tech stack for data and analytics - choose the right technologies, keep the platform modern and scalable, and make sure it delivers on business expectations.
• Lead a multi-disciplinary team directly - analysts, analytics engineers, and data engineers - guiding how they work and how well they support their stakeholders.
• Ensure the data function is a trusted, collaborative partner across the business.
• Define and champion a vision for how analytics and AI can drive competitive advantage.
• Set clear priorities, track outcomes and hold the team accountable for results.
• Bring solid business acumen with a strong understanding of analytics and data engineering — no hands-on execution expected.

Head of Data, Analytics, AI

• Define KPIs, identify business opportunities, and estimate their impact using data.
• Support the development and launch of Ovoko Wallet, by providing insights and analytical recommendations.
• Analyze payment, transaction, and financial data to identify trends, anomalies, and opportunities for improvement.
• Design and analyze experiments (A/B tests) to evaluate product changes.
• Build dashboards, datasets, and analytical models that support both Product and Finance teams.
• Work with modern tooling such as Snowflake, Looker, Mixpanel, and explore opportunities in the evolving AI landscape.

Data Analyst – Payments

• Define, track, and report on key product metrics (such as engagement, retention, conversion, and churn)
• Analyze product and user data to uncover trends, user behaviors, pain points, and opportunities for improvement
• Ensure data accuracy and integrity as well as work with the data team and product developers on solving data accuracy issues
• Promote a data-driven work culture through example and by championing self-service
• Work collaboratively with product team members, such as product managers, engineers, and designers
• Find the right medium to convey important insights with the right context

Product Data Analyst – Contract

• Develop a solid understanding of the relationships between the behaviour of our customers and our growth drivers through data analysis and modelling.
• Create and maintain self-service dashboards for stakeholders across business, using PowerBI.
• Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes.
• Carry out ad-hoc analysis to address stakeholder questions and effectively communicating your findings.
• Ensure data integrity and accuracy by performing regular data audits and validation.
• Collaborate with business users to determine KPIs and critical metrics to monitor for new business lines.
• Build forecast models to support business development.
• Deliver actionable insights and data-driven recommendations.

Data Analyst jobs in Lithuania

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Head of Data, Analytics, AI

Data Analyst – Payments

Product Data Analyst – Contract

Data Analyst