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Job Description

The CRM Data Analyst owns CRM analytics, BI reporting, and automation frameworks that drive data-led decision-making across digital and retail. The role blends analytics and execution—designing customer segments, lifecycle models, and automation journeys while supporting end-to-end CRM campaign operations. You will partner with digital, retail, brand, and tech teams to integrate CRM, marketing automation, and data platforms, ensuring insights translate into scalable, high-performing customer engagement.

This role is highly hands-on, with a strong emphasis on CRM campaign execution, automation logic/scenario building, and analytics-driven reporting.

 

What You Will Do:

CRM Campaign Management & Automation

  • Build, manage, and optimize automation journeys (onboarding, re-engagement, retention, cross-sell, win-back).

  • Execute multi-channel campaigns (Email, Push, SMS, WhatsApp, In-App).

  • Define logic, triggers, control groups, and personalization.

  • Own campaign setup, QA, scheduling, deployment, and documentation.

  • Translate business requirements into automated CRM journeys.

Customer Segmentation & Insights

  • Develop advanced segmentation by behavior, lifecycle, value, and engagement.

  • Run cohort, funnel, and lifecycle analyses to identify growth opportunities.

  • Measure incremental impact via A/B testing, holdouts, and uplift analysis.

  • Deliver insights to continuously refine CRM strategy and automation.

Dashboarding & Reporting

  • Design and maintain Tableau dashboards for CRM, marketing, and business teams.

  • Report on campaign/journey performance, lifecycle metrics, and brand/channel sales.

  • Build self-service tools (list extraction, campaign readiness).

  • Ensure data accuracy, consistency, and scalability.

CRM Analytics, Integration & Data Engineering

  • Integrate CRM and marketing platforms with web, app, and offline data.

  • Build and maintain ETL pipelines to data warehouses.

  • Model data for attribution, optimization, and analytics.

  • Analyze channel mix, frequency, and messaging performance.

  • Use SQL, BigQuery, Python, and Databricks for advanced analysis and automation.

Collaboration & CRM Operations

  • Partner with tech, data engineering, and product teams.

  • Support CRM re-platforming and onboarding of new tools.

  • Establish best practices for CRM operations and analytics.

  • Propose new dashboards, automation use cases, and cost-efficient solutions.

  • Continuously upskill in CRM automation, BigQuery, and Tableau.