Data Analyst

Bright Venture Partners is looking for brilliant, kind, and driven individuals to join our team. Be part of the trusted consulting partner of the country's most ambitious businesses, driving transformation and delivering impact across research & analytics, product and brand development, and enterprise software development.

THE ROLE

As a Data Analyst, you will embed within a high-growth digital platform engagement, owning the analytical work that drives experimentation, funnel optimization, and platform performance. Engagements at this scale generate rich, high-volume transactional data across user behavior, pricing, and demand patterns. The work spans experiment design, friction point diagnosis, and stakeholder-ready analysis — all oriented toward faster, better-grounded decisions.

KEY RESPONSIBILITIES

Platform & Operational Analytics

• Analyze data to identify behavioral patterns, drop-off points, and the effectiveness of business interventions across the customer lifecycle
• Identify patterns across time, geography, or customer segments that point to inefficiencies or untapped opportunities
• Monitor marketplace health metrics and proactively surface anomalies, inefficiencies, and friction points across the platform
• Support decision-making by quantifying the impact of operational and commercial levers, and translating findings into actionable recommendations

Experimentation & Growth Analysis

• Design and analyze A/B tests and switchback experiments across acquisition, activation, engagement, and retention funnels
• Interpret experiment results and translate statistical findings into clear business recommendations
• Quantify the expected and realized impact of growth initiatives to support ROI-based prioritization

Reporting & Decision Support

• Build and maintain dashboards that track growth KPIs, funnel performance, and platform health for operational and leadership teams
• Partner with Marketing, Operations, Product, and Leadership teams to address analytical needs, responding to ad hoc requests with speed and clarity, and structuring outputs for both technical and non-technical audiences.

REQUIRED SKILLS AND QUALIFICATIONS

• 2 to 4 years of experience in data analytics; experience in a consumer marketplace, mobility, or gig economy platform is an advantage
• Strong SQL skills; able to independently query large, high-volume transactional datasets
• Proficiency in Python or R for data manipulation, analysis, and statistical testing
• Familiarity with experimentation frameworks including A/B testing, switchback testing, funnel analysis, and causal inference basics
• Experience with modern data warehouses like Google BigQuery, and BI tools such as Looker, Tableau or equivalent
• Exposure to geospatial data and tools is an advantage
• Strong communication skills; able to present findings clearly and make a case for action to non-technical stakeholders
• Comfortable operating at pace with ambiguous briefs, shifting priorities, and minimal oversight