Product Analyst/ Data Analyst

A day in your life might include (what you will be doing/ key responsibilities)

We are looking for a sharp and curious Data Analyst. In this role, you will sit at the intersection of data, product, and business – turning raw data into actionable insights that drive decisions across the company.

You will own both ad-hoc analytical work and the development of scalable dashboards on our Business Intelligence (BI) platform, partnering closely with Product, Business, Operations, and other cross-functional teams to solve real problems with data.

Business Intelligence & Dashboard Development

• Design, build, and maintain dashboards and reports on the company BI platform to track key business and product metrics.
• Ensure data accuracy, consistency, and accessibility across BI outputs for all stakeholder groups.
• Continuously improve dashboard usability and relevance based on evolving business needs.

Ad-hoc Analysis & Insight Generation

• Respond to ad-hoc data requests from Product, Business, Ops, Customer, and other teams with timely, well-structured analysis.
• Proactively surface insights — identifying trends, anomalies, and opportunities — rather than waiting to be asked.
• Translate complex analyses into clear, concise narratives appropriate for both technical and non-technical audiences.

Cross-functional Collaboration

• Partner with Product Managers to define, track, and interpret product KPIs and funnel metrics.
• Support Business and Operations teams with performance reporting, campaign analysis, and operational efficiency metrics.
• Work with Engineering and Data Engineering to ensure data pipelines and event tracking are correctly instrumented for analytical needs.

Data Quality & Governance

• Identify and escalate data quality issues; collaborate with Engineering to resolve them upstream.
• Document data definitions, metric logic, and analytical methodologies to ensure consistency across the organization.
• Contribute to the development and maintenance of a shared metric framework and data dictionary.

What we need from you (your skill and experience/ what you’ll bring to the team)

Must-have

• 2–4 years of experience in a Data Analyst, Business Analyst, or similar role, preferably in a tech, fintech, or digital product company.
• Strong proficiency in SQL and Python for data extraction, transformation, and analysis across large datasets.
• Hands-on experience building and maintaining dashboards using BI tools (Holistics, Metabase, Superset, Looker, Tableau, or similar).
• Solid foundation in analytical thinking — ability to frame problems, structure analysis, and draw sound conclusions from data.
• Strong communication skills — ability to present findings clearly and confidently to non-technical stakeholders.

Nice to have

• Experience in fintech, banking, or consumer financial services.
• Working knowledge of data pipeline tools and data warehouse concepts (BigQuery, AWS, Snowflake, dbt, Airflow, etc.).
• Exposure to A/B testing and experiment analysis methodologies.

What We’re Looking For

• Beyond technical skills, we value analysts who are genuinely curious – people who ask ‘why’ before ‘how’, challenge assumptions, and are not satisfied with surface-level answers. The ideal candidate is:
• Proactive: You bring insights to the table, not just answers to questions already asked.
• Business-minded: You understand that data serves a purpose – helping Timo grow and serve customers better.
• Collaborative: You thrive in cross-functional environments and know how to build trust with stakeholders across teams.
• Precise: You take data quality seriously and hold yourself to a high standard of analytical rigor.