Senior Data Analyst

• Focused on extracting value from data by building high-impact dashboards, performing advanced analysis, and translating complex datasets into actionable business insights.
• Own cross-functional KPI frameworks (e.g., our "Gap to Goal" hardware demand dashboard).
• Build attribution models that connect marketing spend to hardware registrations, and analyze product-led growth funnels from sign-up through monetization.

Required Skills & Qualifications

• Experience in Data Analysis / Analytics / BI roles.
• Strong proficiency in:
• SQL (advanced level)
• Looker Studio (our primary BI tool) or similar (Tableau, Power BI)
• Experience analyzing data in BigQuery or similar cloud warehouses.
• Experience with attribution modeling (multi-touch, channel attribution, marketing mix).
• Strong analytical thinking and ability to translate data into business insights.
• Experience building and owning cross-functional KPI frameworks spanning marketing, product, and revenue.

Preferred Skills

• Experience with GA4 raw event data (not just dashboarding on processed data — understanding the underlying event model).
• Experience with hardware + software or mixed business models (sell-in vs sell-through, channel vs direct, subscription vs perpetual).
• Experience with product-led growth metrics (funnel analysis, activation, conversion, cohort analysis).
• Hands-on experience with Segment, Braze, or similar marketing/product tools.
• Exposure to dbt or data modeling concepts.
• Hands-on experience with Python for data analysis.
• Knowledge of statistics and experimentation (A/B testing).
• Familiarity with customer lifecycle and growth frameworks.
• Comfort with AI-assisted analysis (Claude, Copilot).

Posted On: 09-06-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.