Lead, Business Intelligence
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Likely real
- open for 43 days (30+ days starts to look stale)
- 67 open roles at this company in 30 days (mass-hiring blitz)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
WHAT YOU'LL DO
Infrastructure & Data Engineering
Own and maintain our Azure-based BI infrastructure, including Azure Synapse Analytics, Azure Data Factory, and Blob Storage
Manage and evolve our data pipelines, including ingestion, transformation, and delivery
Write and optimize complex SQL queries, stored procedures, and pipeline logic
Partner with data engineering on integrations with upstream systems (Salesforce, DSPs, ad platforms)
Ensure data quality, pipeline reliability, and documentation standards across the team
Reporting & Analytics
Oversee the development and maintenance of Power BI dashboards and other reporting
Translate business questions from stakeholders into data models and reporting solutions
Support revenue analytics - including advertiser performance, DSP reporting, and product-level breakdowns
Own ad hoc analysis and deep-dives as needed
Cross-Team Collaboration to build and maintain a platform that serves the needs of constituents across Sales, Sales Support, Finance, Marketing and Product
Team Leadership
Manage and mentor a team of BI analysts across the globe, supporting their growth and day-to-day execution
Triage and prioritize incoming data requests alongside the Director of BI
Set and uphold standards for code quality, documentation, and project delivery
Serve as the subject matter expert for our BI infrastructure
WHO YOU ARE
Ownership-driven: You treat the systems you build and the team you lead as your own, and you care about getting things right
Technically rigorous: You go deep on infrastructure problems and don't stop at surface-level fixes
Clear communicator: You can translate complex data concepts into language that resonates with business stakeholders
Collaborative: You work well across time zones and functions, and you make your teammates better
5+ years of experience in business intelligence, data analytics, or data engineering
Strong SQL skills, including window functions, complex joins, stored procedures, and performance tuning
Hands-on experience with Azure cloud services or equivalent (Synapse Analytics, Data Factory, Blob Storage)
Proficiency with Power BI or a comparable BI tool (Tableau, Looker, Sigma, etc.)
Experience managing or mentoring junior analysts or engineers
Ability to communicate technical concepts clearly to non-technical stakeholders
Comfort working in a fast-paced environment with a high degree of ownership
Experience in ad tech, media intelligence, or programmatic advertising (DSPs, SSPs, audience data)
Familiarity with Salesforce as a revenue source of truth
Experience working with international teams across multiple time zones
Prior exposure to Microsoft Fabric or awareness of the Azure/Fabric roadmap
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