Data Analyst

CSi

• Data & Analytics

• Loyalty (Shukran)

• Customer Product & Martech

• CSi stands for
• **C – Customer (CX)**
• → Building seamless, end-to-end customer journeys
• **S – Strategy & Analytics**
• → Driving smarter business decisions through data
• **i – Intelligence (AI + BI)**
• → Powering everything with AI-led insights

Key Responsibilities

• Own end-to-end analytics for ecommerce performance and performance marketing channels (Paid Search, Paid Social, Display, Affiliates, CRM)
• Analyze traffic, conversion, revenue, and customer behavior across channels (paid, organic, direct, CRM)
• Track and optimize campaign performance across platforms (Google Ads, Meta, DV360, etc.) with a focus on ROI and scalability
• Build and monitor core KPIs such as CAC, ROAS, LTV, conversion rate, retention, and funnel drop-offs
• Drive budget allocation and reallocation decisions based on performance insights and marginal ROI analysis
• Develop dashboards and automated reporting solutions using tools like Power BI / Tableau
• Work closely with marketing teams to improve campaign targeting, creatives, bidding strategies, and audience segmentation
• Perform cohort analysis, attribution modeling (last-click, multi-touch), and customer segmentation (RFM, behavioral, etc.)
• Evaluate channel contribution, incrementality, and campaign lift through structured measurement frameworks
• Identify growth opportunities through deep-dive analysis on campaigns, products, and customer journeys
• Build predictive models for demand forecasting, churn prediction, and campaign effectiveness
• Integrate data from multiple sources (GA4, CRM tools, ad platforms, data warehouses)
• Translate complex data into actionable business insights for leadership

Requirements

• 6–7 years of experience in ecommerce analytics / performance marketing analytics
• Strong expertise in SQL and handling Databricks (BigQuery / similar preferred)
• Hands-on experience with Power BI (or similar BI tools)
• Strong understanding of performance marketing metrics (CAC, ROAS, CPC, CPM, CTR) and bidding strategies
• Experience working with ad platforms (Google Ads, Meta Ads, etc.), GA4, and CRM/campaign tools
• Solid understanding of attribution models and marketing measurement frameworks
• Strong analytical thinking with ability to connect data to business impact
• Exposure to Python / predictive modeling is a strong plus
• Ability to work cross-functionally with marketing, product, and tech teams
• Good to Have
• Experience in retail / ecommerce environments
• Knowledge of customer lifecycle and loyalty analytics
• Familiarity with experimentation (A/B testing frameworks, incrementality testing)
• Exposure to CDPs or marketing automation tools
• Experience with marketing mix modeling (MMM) or advanced attribution is a plus

Why join CSi?

• This is where your role becomes bigger than just a job.
• You’ll get to:
• Work at the intersection of

Product, Data, AI, and Customer Experience

• Build solutions that impact
• millions of customers across multiple brands
• Be part of a
• high-ownership, high-visibility team
• Solve real business problems—not just execute tasks
• Shape how
• modern retail operates in the region
• Who should apply?
• If you are someone who:
• Thinks
• customer-first
• Loves solving problems using
• data and technology
• Wants to work on

AI, Martech, Product, or Analytics

• Enjoys working in a
• fast-paced, high-impact environment
• CSi is where you should be.
• We’re not just hiring for roles.
• We’re building the
• future of customer intelligence at scale.
• If you want to be part of something that is
• strategic, visible, and truly impactful—this is your moment.