Mantle Solutions-Data Scientist-L1

Job Title: DS L1

Reports to: Head of Analytics / VP

Exp: L1-5+ yrs

Location: Bangalore

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)

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

Level 1 | 5+ Years Experience | Senior / Lead

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

Knowledge (Technical/Functional)

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

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

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

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

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• 5+ Years in Retail / Merchandising Analytics
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