Senior BI Reporting Analyst - AI-Driven Insights (Hybrid)

Russell Tobin

Mountain View (CA)

Hybrid

USD 80,000 - 85,000

Full time

31 hours ago
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Benefits offered by this job

Healthcare coverage
401(k) plan
Life & disability insurance
Employee discounts

Job summary

PrideGlobal is seeking a BI Reporting Analyst III for a Fintech client in Mountain View, CA. This hybrid role offers 3 days onsite and a 12-month contract with potential extension.

The position pays $58-$62 per hour on W2 DOE and requires strong SQL, data visualization, and storytelling skills. You will build and maintain dashboards, optimize data sources, design A/B tests, and deliver insights to senior stakeholders, collaborating with sales, operations, and data teams.

Qualifications

  • Ability to frame ambiguous business questions into rigorous analyses.
  • Storytelling with data to drive senior stakeholder decisions.
  • Translate analyses into actionable recommendations for sales strategy and execution.
  • Maintain accuracy and integrity across data, reporting, and deliverables.

Responsibilities

  • Build, maintain, and communicate detailed reporting, visualizations, and dashboards to deliver business insights.
  • Proactively improve data sources and build pipelines or perform ETL when needed.
  • Gather, clean, consolidate, and productionalize large datasets to support dashboards and analytics.
  • Design and analyze A/B tests using test-and-control methodologies and measure impact.
  • Perform ad hoc analyses as necessary.

Skills

Analytical thinking
Data storytelling
Problem solving
Attention to detail
Cross-functional collab
Simplification

Tools

Tableau
Qlik Sense
SQL
Python
Databricks

Job description

PrideGlobal is seeking a BI Reporting Analyst III for a Fintech client in Mountain View, CA. This hybrid role offers 3 days onsite and a 12-month contract with potential extension.

The position pays $58-$62 per hour on W2 DOE and requires strong SQL, data visualization, and storytelling skills. You will build and maintain dashboards, optimize data sources, design A/B tests, and deliver insights to senior stakeholders, collaborating with sales, operations, and data teams.

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