Occasional remote work possibility
Job Description
About the role:
As a Senior Data Analyst in the Central Operations Analytics team, you sit between business stakeholders and the data repo - translating operational questions into accurate, documented datasets and Looker explores that analysts and operators can self-serve. You own everything between marts/facts and the BI layer, and are a sparring partner to the operations analysts and business teams across Rides, Delivery, and wider verticals.
Main tasks and responsibilities:
- Turn stakeholder and analyst requests into clear specs (grain, definitions, edge cases) before modelling, and validate output with source systems and stakeholders before sign-off.
- Build and maintain reusable dbt models, tests, and documentation; extend marts and facts for reporting and self-service.
- Maintain end-to-end Looker projects (LookML views, explores, refinements), keeping LookML in step with dbt-driven or synced explores where applicable.
- Use AI-assisted tooling (e.g. Cursor, Claude) and lightweight automations across dbt, Airflow, Databricks, Python, and Google Sheets to accelerate modelling and remove repetitive analyst work.
- Support break-fix and small refactors when upstream schemas or marts change; coordinate impact with key consumers.
- Follow system design and architectural best practices, collaborating with cross-functional stakeholders to ensure data integrity and consistency across the analytics stack.
Requirements
- You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies.
- You have significant experience in BI, analytics, or data roles with end-to-end delivery ownership, and can demonstrate tangible impact in data modelling.
- You are proficient in SQL and dbt (refs, layers, tests, documentation) and fluent in LookML (explores, dimensions, measures, refinements, explore-as-code).
- You have a working knowledge of Python for analytics and automation; familiarity with Spark, Airflow, or semantic/metrics-layer patterns (dbt Semantic Layer, MetricFlow) is a plus.
- You are a strong cross-functional collaborator with good business sense, structured written communication (tickets, specs, PRs), and excellent verbal and written English.
- You are proactive, take ownership, flag blockers early, and care about how numbers are interpreted - not only that the pipeline runs.
Company offers
- Accelerate your professional growth with unique career opportunities.
- Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
- Take care of your physical and mental health with our wellness perks.
- Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge.
- Connect with colleagues at annual company events and smaller team gatherings.
- Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.