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Lead, Business Intelligence

samba tv New York City, New York

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Ghost-risk verdict

Likely real

  • open for 43 days (30+ days starts to look stale)
  • 67 open roles at this company in 30 days (mass-hiring blitz)

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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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