Junior Data Analyst at Kpler

Kpler

Budapest·5h ago

JuniorFull-timePythonRustData ScienceGitGoAI

Salary Range

$49,725 - $67,275 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Data Analyst to join our BI team at Kpler. This role involves working across the full business intelligence lifecycle, from data pipeline quality checks to building and maintaining dashboards in Looker. You will support commercial and operational stakeholders in making sense of their data in a fast-moving B2B SaaS environment.

Key Responsibilities

→Assist in building and maintaining dashboards and reports in Looker, ensuring they are accurate, up to date, and easy to interpret by non-technical stakeholders.
→Support senior analysts in translating business questions into SQL queries and data models, progressively taking on more ownership as your skills grow.
→Help maintain and document the LookML codebase, including updating fields and flagging inconsistencies.
→Run data quality checks across key datasets and flag anomalies or discrepancies to the team.
→Contribute to the team’s data dictionary and technical documentation, ensuring definitions are clear, consistent, and accessible to all stakeholders.
→Support testing and validation of new data pipelines and transformations before they go to production.
→Engage with internal stakeholders (commercial, finance, operations) to understand their reporting needs and communicate progress clearly.
→Help prepare data-driven summaries and ad-hoc analyses to support business decisions.
→Act as a bridge between the BI team and less data-literate audiences, helping them interpret and use data confidently.
→Actively participate in team rituals, standups, code reviews, retrospectives, and bring a collaborative, solutions-oriented mindset.

Requirements

✓1-2 years of experience in a data-related role or internship (BI, data analysis, data science, or similar).
✓Working knowledge of SQL. You can write queries, filter, aggregate, and join tables.
✓Exposure to a BI or data visualization tool (Looker, Tableau, Power BI, or similar).
✓Familiarity with spreadsheets (Excel or Google Sheets) and a general comfort with data manipulation.
✓Intellectual curiosity, attention to detail, structured communication, growth mindset, ownership mentality, team player, and adaptability.