Mantle Solutions-Data Scientist-L1

Main Purpose of Job (Why the Job exists / What it must achieve)

We are seeking a Senior Retail Analytics & Insights Lead to own the analytics function for our Retail business. This is a strategic and hands-on role requiring deep expertise in Retail data, the ability to build and govern analytics infrastructure, lead a small team, and drive data-driven growth decisions at a leadership level. You will work directly with business heads across buying, marketing, operations, and technology to shape the digital strategy through data. You are expected to go beyond reporting — proactively identifying opportunities, designing experiments, and influencing business outcomes.

MOP (Measurable parameters of the role) & Dimensions (Span of the role)

Staff Reporting: 2–3 Direct Reports: 2–3

Main Responsibility / Job Summary

(Primary deliverables of role and its scope)

• Own and define the end-to-end Retail analytics strategy — from KPI framework design to insight delivery.
• Lead the build and governance of dashboards and performance reporting across site, category, marketing, and operations.
• Drive cohort analysis, customer segmentation, LTV modelling, and advanced funnel analytics.
• Partner with data engineering teams to architect data pipelines and ensure data quality from all digital touchpoints.
• Manage and mentor junior analysts, setting quality standards and reviewing analytical outputs.
• Design and oversee A/B tests, experiments, and quick-win initiatives to drive conversion and retention.
• Present insights and strategic recommendations to senior leadership and cross-functional stakeholders.
• Establish and govern data tracking infrastructure across all digital channels in collaboration with tech teams.
• Exposure of working on promo analytics, pricing analytics, and merchandising analytics in retail domain.
• Identify root causes of underperformance across product availability, pricing, promotions, and customer retention.
• Define the data roadmap for the Retail analytics function and prioritize initiatives based on business impact.

Level

Level 1 | 5+ Years Experience | Senior / Lead

Skills & Knowledge Requirements (Abilities/knowledge & Expertise in field)

Knowledge (Technical/Functional)

• Expert-level understanding of Retail/eCommerce KPI frameworks — traffic, conversion, retention, basket size, LTV.
• Deep knowledge of promo analytics, pricing analytics, and merchandising analytics in a retail or grocery context.
• Strong understanding of data warehouse architecture and retail data sources (POS, CRM, digital platforms).
• Understanding of statistical experimentation — A/B testing, hypothesis testing, and significance testing.
• Familiarity with cloud data platforms such as Azure Databricks or BigQuery.
• Knowledge of tracking infrastructure tools (GTM, event tagging, pixel setup).

Skills:

• 5+ years of experience in Retail Analytics / Merchandising, ideally in a grocery or retail context.
• Advanced proficiency in SQL and at least one scripting language (Python or PySpark) for complex data analysis.
• Proven ability to lead and mentor a team of analysts and manage cross-functional stakeholders.
• Experience architecting data tracking and reporting infrastructure from scratch in fast-scaling environments.
• Deep experience with analytics and BI tools — Power BI or Tableau — for enterprise-level reporting.
• Excellent communication and storytelling skills — able to influence senior leadership with data-backed narratives.
• Comfortable working in ambiguous, build-from-scratch environments and setting direction without a playbook.

Good to Have:

• Exposure to recommendation engines, personalization analytics, or product affinity modelling.
• Experience with Python/R for statistical modelling or machine learning in a retail context.
• Familiarity with Jira or any other work management tool.
• Ability to develop automations and productivity improvements in analytical solutions.

Qualifications

• B.Tech / B.Sc in Statistics, Mathematics, Computer Science or related field
• MBA (Analytics / Business) is strongly preferred

Experience

• 5+ Years in Retail / Merchandising Analytics