Marketing Analytics

Skillventory; Navi Mumbai, Mumbai; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Skillventory in Navi Mumbai is seeking a data analytics professional to translate insights into actionable recommendations for customer acquisition, retention, and personalization.

You will collaborate across Marketing, Product, Digital, and CRM to align analytics with business priorities and present findings in internal reviews.

Qualifications

• Proficient in SQL, Python/R for data analysis and modeling.
• Experience with customer analytics in BFSI/retail domains.
• Strong data visualization skills with Power BI or Tableau.
• Experience building predictive marketing analytics frameworks.
• Excellent cross-functional communication.

Responsibilities

• Translate analytics plans into actionable recommendations for acquisition, retention, and personalization.
• Collaborate with Marketing, Product, Digital, and CRM to align outputs with priorities.
• Present findings in internal review forums.
• Promote analytics adoption within the business unit.
• Apply ML techniques to business problems (logistic regression, trees, ensemble methods, neural nets).
• Build segmentation, churn, CLTV and personalization models.
• Run A/B and multivariate tests to improve conversion.
• Develop dashboards for customer insights and marketing performance.

Skills

SQL

Python/R

BI/Visualization

Predictive Modeling

Education

Bachelor's degree in Data Science/Statistics/Economics or related field

Tools

CDP platforms

CRM platforms

AWS/GCP/Azure

Job description

Role & responsibilities :

• Execute against the customer analytics plan set by leadership, translating customer insights into actionable recommendations for acquisition, retention, and personalization.
• Collaborate with stakeholders across Marketing, Product, Digital, and CRM to align analytics output with business priorities.
• Present findings and recommendations in internal review forums.
• Promote analytics adoption within the assigned business unit.
• Apply statistical and machine learning techniques (logistic regression, decision trees, ensemble methods, neural networks) to business problems.
• Build models for customer segmentation, churn prediction, cross-sell/up-sell targeting, CLTV, and personalization.
• Analyze campaign effectiveness across channels using attribution and uplift analysis.
• Build segmentation, propensity, offer-optimization, and channel-mix frameworks.
• Run A/B and multivariate tests to improve conversion and engagement.
• Support real-time personalization using customer data platforms (CDPs).
• Provide insights on CAC, retention drivers, and loyalty metrics.
• Build and maintain dashboards and reporting frameworks for customer insights and marketing performance.

Preferred candidate profile

• Bachelor's degree in Data Science, Statistics, Economics, or related field (Master's a plus).
• 78 years of experience in analytics, with meaningful exposure to customer and marketing analytics.
• Strong command of SQL, Python/R, and data visualization tools (Power BI, Tableau).
• Hands-on experience building and deploying predictive models and marketing analytics frameworks.
• Strong communication skills, with the ability to work effectively with cross-functional stakeholders.
• Domain expertise in BFSI, retail, NBFC or digital consumer businesses.
• Familiarity with CDPs, CRM platforms, and marketing automation tools.
• Exposure to cloud data platforms (AWS, Azure, GCP) and real-time analytics environments.
• Interview Process is Face to Face.