Lead Data Analytics - CSA

Key Responsibilities

Client Leadership & Stakeholder Management

• Act as the primary analytics lead across multiple clients, driving all analytical discussions, performance reviews, and strategic presentations.
• Build strong relationships with client marketing, media, and product teams.
• Understand client goals deeply and convert them into structured analytical problem statements.
• Present insights and recommendations that shape decision-making at senior stakeholder levels.
• Own timelines and ensure high-quality delivery across all analytical workflows.
  
  

• Lead, mentor, and upskill a team of analysts, fostering a culture of ownership, analytical rigor, and innovation.
• Review outputs to ensure accuracy, insightfulness, and business relevance.
• Establish standard processes, frameworks, and best practices for analytics delivery.
  
  

• Own end-to-end digital marketing analytics across paid media, user acquisition, and retention/lifecycle funnels.
• Analyze performance across Google Ads, Meta, Programmatic, Affiliate, YouTube, and other digital channels to improve ROAS, CAC, CPA, conversions, and LTV.
• Work extensively with AppsFlyer (and other MMPs) for attribution analysis, install tracking, deep-link measurement, cohort insights, and channel performance evaluation.
• Conduct advanced analyses such as funnel diagnostics, cohort studies, incrementality testing, and attribution insights.
• Build KPI frameworks, dashboards, and automated reporting systems for acquisition, engagement, and retention.
• Partner closely with media teams to surface insights on budgets, audience quality, creatives, and channel efficiency.
  
  

• Deliver strategic, high-impact insights beyond reporting—highlighting opportunities, risks, and growth levers.
• Lead A/B test design, experiment measurement, and post-experiment analysis.
• Convert complex data patterns into simple, compelling narratives for leadership decision-making.
  
  

• 7+ years of experience in digital/marketing analytics, preferably in a digital agency or high-growth digital-first brand.
• Strong command of SQL, Python (Pandas, NumPy, Stats models), and visualization tools (Looker Studio, Power BI, Tableau).
• Deep knowledge of AppsFlyer (mandatory) and other MMPs—install tracking, cohort reporting, attribution windows, retargeting, and measurement setup.
• Proven ability to lead teams and manage stakeholders across multiple accounts.
• Excellent communication, storytelling, and presentation skills.
  
  

• Experience with BigQuery, Snowflake, Redshift or similar data warehousing environments.
• Familiarity with product analytics tools such as Mixpanel, Amplitude, GA4 Explorations.
• Exposure to CRM and engagement platforms (Braze, CleverTap, MoEngage).
• Understanding of statistical concepts, experiment design, and basic predictive modelling.