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.