Job Description

Job Title: Senior Data Analyst

Key Skills: Data Analysis, SQL, Looker Studio, BigQuery.

Location: Brazil

Mode: Remote

We at Coforge are hiring Senior Data Analystwith the following skill set.

Key Responsibilities

  • 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.

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