Senior Data Analyst

Job Description

Category: Technology Location: Shuru is a technology-consulting company that embeds senior product and engineering teams into fast-growing companies worldwide to accelerate growth and de-risk strategy Our work is global, high-stakes, and unapologetically business-first, Role Overview Youll join a lean, senior-only business intelligence team as a Senior Data Analyst who will sit shoulder-to-shoulder with our clients, operating as their in-house analytics brain-trust Your mandate: design the data questions worth asking, own the pipelines that answer them, and convert findings into clear, bottom-line actions If you need daily direction, this isnt for you If you see a vague brief as oxygen, read on, Key Responsibilities Frame the right questions Translate ambiguous product or commercial goals into testable hypotheses, selecting the metrics that truly explain user behaviour and unit economics, Own data end-to-end Model, query, and transform data in SQL and dbt, pushing to cloud warehouses such as Snowflake/BigQuery, with zero babysitting, Build self-service BI Deliver dashboards in Metabase/Looker that non-technical stakeholders can tweak without coming back to you every week, Tell unforgettable stories Turn complex analyses into visuals and narratives that drive decisions in the C-suite and on the sprint board, Guard the data moat Champion data governance, privacy, and quality controls that scale across multiple client engagements, Mentor & multiply Level-up engineers and product managers on analytical thinking, setting coding and insight standards for future analysts, Requirements Must-Have Skills & Experience Minimum Experience of 3 years Core Analytics: Expert SQL; comfort with Python or R for advanced analysis; solid grasp of statistical inference and experimentation, Modern Data Stack: Hands-on with dbt, Snowflake/BigQuery/Redshift, and at least one orchestration tool (Airflow, Dagster, or similar), BI & Visualisation: Proven delivery in Metabase, Looker, or Tableau (including performance tuning for big data models ) Product & Growth Metrics: Demonstrated ability to define retention, activation, and LTV/Payback KPI for SaaS or consumer-tech products, Communication: Relentless clarity; you can defend an insight to both engineers and the CFO, and change course when the data disproves you, Independence: History of thriving with ?figure it out? briefs and distributed teams across time zones, Bonus Points Feature-flag experimentation at scale (e-g , Optimizely, LaunchDarkly), Familiarity with privacy-enhancing tech (differential privacy, data clean rooms), Benefits Work on international projects Execute with founders and execs from around the globe, stacking your playbook fast, Regular team outings We fund quarterly off-sites and virtual socials to keep the remote vibe human, Collaborative & growth-oriented Learn directly from CXOs, leads, and seasoned PMs; no silos, no artificial ceilings, Competitive salary & benefits Benchmark ?90th percentile for similar-stage firms, plus performance upside, Details