Industry Solution Leader, Retail-Data & Analytics

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Description

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Position Summary

Industry Solutions Leader – Retail


Responsibilities

1. Client Engagement & Pre-Sales:


  • Participate in discovery sessions with prospective clients to understand business challenges, current operations, and data maturity.
  • Collaborate with sales and solution architects to define business use cases, target outcomes, and solution scope.
  • Conduct competitive and market research to inform solution design and positioning.
  • Support creation and delivery of client-facing presentations, demos, and proof-of-concept plans.
  • Develop pre-sales collateral including:
  • Client problem statements and tailored value propositions
  • Functional requirement outlines
  • Workflow/process maps and high-level solution blueprints
  • Contributions to RFPs/RFIs, SOWs, and proposals


2. Project Delivery & Execution:


  • Translate client business requirements into clear user stories and functional specifications for technical teams.
  • Collaborate with data engineers, data scientists, and visualization experts to design

    data pipelines, analytical models, and dashboards

    tailored to retail use cases such as customer segmentation, demand forecasting, and sales analytics.
  • Lead or support requirement workshops, stakeholder interviews, backlog grooming, and sprint reviews.
  • Validate analytical outputs against business needs through UAT and client feedback sessions.
  • Manage documentation including

    BRDs, wireframes, data dictionaries, test cases, and SOPs

    .


3. Industry & Domain Expertise:

  • Bring deep Retail domain knowledge in areas such as Customer Analytics, Merchandising, Pricing, Store Operations, Supply Chain, and Financial Planning.
  • Work with common Retail and eCommerce data assets — including POS, CRM, inventory, logistics, loyalty, and digital engagement data.
  • Stay current with emerging Retail analytics trends such as AI-driven personalization, dynamic pricing, omnichannel analytics, and demand sensing.



Required Experience

  • Bachelor’s degree in

    Retail Management, Business, Computer Science, or a related field.

  • 10+ years of experience in business analysis, solutioning, or consulting roles supporting Retail clients — ideally at a consulting, analytics, or digital transformation firm.
  • Strong understanding of the

    data & analytics lifecycle

    (from ingestion to insight) and ability to bridge business needs with technical solutions.
  • Proven experience contributing to

    pre-sales deliverables, proposals, and solution design workshops.

  • Hands-on experience with tools such as

    SQL, Excel, Power BI/Tableau

    , and familiarity with modern data platforms like

    Snowflake

    and

    Databricks.

  • Exceptional written and verbal communication skills with the ability to present to

    senior client stakeholders.

  • Experience with

    Data Warehousing/Visualization tools

    such as

    Databricks, Snowflake, Qlik Sense, and Power BI.

  • Experience with

    CRM and Retail management systems

    (e.g.,

    Salesforce, SAP Retail, Oracle Retail, or Dynamics 365

    ) and data models relevant to Retail analytics.
  • Familiarity with

    cloud ecosystems (AWS, Azure, GCP)

    and

    agile delivery methodologies.

  • MBA or a relevant master’s degree

    preferred.
  • Certifications such as

    CBAP, PMI-PBA, or Pre-Sales Technical Consultant

    certifications are a plus.


Core Capabilities

  • Strategic execution & operational alignment
  • High-performance delivery & quality governance
  • Talent strategy & future-skills leadership
  • Cross-functional stakeholder engagement
  • Change management & transformation enablement



About Polestar:

As a data analytics and enterprise planning powerhouse, Polestar Analytics helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.


The list includes: -

  • Recognized as the Top 50 Companies for Data Scientists in 2024 by AIM.
  • Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.
  • Featured on the Economic Times India's Growth Champions in FY2023.
  • Polestar Analytics Selected as a 2022 Red Herring Global Companies.
  • Top Data Science Providers in India 2024: Penetration and Maturity (PeMa) Quadrant.
  • India’s most promising data science companies in 2022 by Analytics Insight.

We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.

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