dopay
Financial Services
SeniorBusinessAnalyst,Revenue&Operations
“Senior Business Analyst, Revenue & Operations at dopay. Skills: Looker semantic layer (LookML), Dashboards that drive action, Deep-dive analysis, Data partnership with Engineering, Stakeholder enablement, Forecasting and planning support. Define, document, and maintain the metrics that matter. Build and maintain explores, views, and derived tables in LookML”
What You'll Achieve.
Design the KPIs we run the business on; Build the Looker dashboards that surface them; Own the semantic layer in LookML; Ensure the BigQuery layer is clean, complete, and accessible; Reduce ad-hoc requests by making self-service genuinely possible; Support revenue forecasts, capacity planning, and goal-setting with grounded, defensible numbers
Industry & Context.
Bring hypotheses, not just charts; See a number trending sideways, and shows up Monday with three hypotheses and the data to test them; Energized by ambiguous problems in fast-moving environments
What They're Looking For.
Must Have
4+ years in business analytics, analytics engineering, or revenue/operations analytics, Demonstrated ownership of a BI environment end-to-end, Expert SQL, Looker experience required, Comfort with BigQuery
Nice to Have
dbt, Python for analysis, Git-based workflows for LookML version control, Egyptian Arabic and English fluency strongly preferred
What You'll Do.
and maintain the metrics that matter
Build and maintain explores
and derived tables in LookML
Create dashboards that answer clear business questions and surface what to do next
Perform funnel diagnostics
cohort behavior analysis
pricing and discount effectiveness analysis
operational bottleneck analysis
customer health scoring
Ensure relevant data flows into BigQuery cleanly and on time
Train Revenue and Ops leaders to use Looker confidently
Partner on revenue forecasts
How You'll Work.
Team & Collaboration
Work side-by-side with Revenue leaders; Work with Operations to find friction; Partner closely with our Engineering and Data teams; Work with the tech team to ensure all relevant data flows into BigQuery; Advocate for instrumentation when product decisions outrun our data; Train Revenue and Ops leaders
Communication Scope
Explain a cohort retention curve to a non-technical commercial leader without losing them, and to an engineer without insulting them; Write clear documentation and you actually maintain it
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