Customer Success Manager - Data & CRM Analytics Solutions

- As a Customer Success Manager (CSM), you will play a critical role in driving the success of our clients by translating complex customer and campaign data into actionable insights.

- You'll act as the bridge between our technical team and client stakeholders, helping to optimize marketing campaigns, improve loyalty programs, and deliver measurable business value.

- This is a client-facing role best suited for someone who is hands-on with analytics, has strong communication skills, and can manage cross-functional relationships with finesse.

Key Responsibilities:

Client Engagement & Success:

- Serve as the primary point of contact for a portfolio of enterprise clients in the retail/e-commerce sector.

- Understand client business goals, use cases, and KPIs to drive measurable success.

- Translate business requirements into analytical insights, dashboards, or custom reports.

- Manage regular client check-ins, QBRs, and campaign performance reviews.

- Collaborate with internal product, analytics, and engineering teams to meet client needs.

Campaign & CRM Analytics:

- Conduct deep-dive customer segmentation and profiling using behavioral and transactional data.

- Design and evaluate A/B tests to optimize CRM campaigns and personalization strategies.

- Analyze campaign performance across multiple touchpoints (email, SMS, push, in-app).

- Provide insights into customer lifecycle stages, churn risk, loyalty trends, and monetization opportunities.

Technical Execution & Analysis:

- Work hands-on with SQL, Databricks, PySpark, and Python to query and process large data sets.

- Build reports and dashboards using Power BI (preferred) or Tableau.

- Interpret raw data and build automated solutions for recurring client queries.

- Ensure data accuracy and integrity across all deliverables.

Required Skills & Experience:

- 3-5 years of experience in a client-facing analytics, marketing, or consulting role.

- Strong analytical and problem-solving skills, with a detail-oriented approach.

- Proficient in SQL, Databricks, PySpark, and Python for data analysis.

- Experience with A/B testing, campaign measurement, and personalization.

- Hands-on experience in BI tools like Power BI (preferred) or Tableau.

- Strong communication skills - able to convey technical insights clearly to non-technical audiences.

- Excellent organizational and project management capabilities.

Preferred Qualifications:

- Experience working with CRM platforms, loyalty systems, or customer engagement tools.

- Background in retail or e-commerce data analytics.

- Familiarity with campaign tools (e. , Braze, MoEngage, Salesforce Marketing Cloud) is a plus.

- Exposure to customer journey mapping or CLTV analysis is a bonus.