Shell | Jobs | Sr. BI Analyst | BigDataKB.com | 18-02-22

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Job Location: Chennai

The Role

General Position Definition

  • This role will drive reporting analytics and data analysis for one or more of Shellโ€™s Retail business teams
  • The ideal candidate is passionate about delivering commercial value and insights through Retail Analytics and Business Intelligence.
  • Ideal candidate will work on:Engaging the stakeholders to understand the business problem and gather requirements
  • Data extraction and reporting using different tools and techniques like Alteryx, SQL, R/Python etc
  • Generate insights from the data and effective story boarding.
  • Ability to identify and suggest key performance indicators for the stakeholders.
  • Responsible for maintaining the reporting requirements
  • Regularly interact with stakeholders/business owners and present actionable insights from the dashboards.
  • Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different Retail teams and structurally answer them with data driven insights
  • Should have intensive experience in Business Intelligence โ€“ creating dashboards, providing business performance insights and storyboarding the outcome.
  • Incumbent is responsible for working on a range of technologies and tools collaborating directly with the Retail stakeholders & other partners
  • Skills

    Industry / Functional Expertise

    • Provide deep business expertise in Retail/CPG businesses: Category Analytics: Range reviews, Assortment planning, identifying trends and patterns in category performance, new product launches
    • Pricing Analytics: Understanding Price elasticity, evaluating impact of competitor pricing, impact of pricing changes on margins
    • Marketing and Promotion Analytics: Campaign design and promo effectiveness testing, churn prediction, cross-sell / up-sell, Market Basket Analysis, Customer segmentation, propensity analysis, customer lifetime value, market mix modeling
    • Store Analytics: Leverage data and visualization to create actionable insights for on ground store teams, territory and district managers
  • Should have strong story telling skills: Ability to explain complex data and models to business teams
  • Proficiency Level: Intermediate
  • Stakeholder Engagement Skills

    • Working collaboratively across multiple sets of stakeholders โ€“ business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks
    • Identify actionable insights that directly address Retail Teamโ€™s challenges / opportunities
    • Articulate business insights and recommendations to respective stakeholders
    • Understanding business KPI’s, frameworks and drivers for performance
    • Proficiency Level: Mastery

    Technology Skills

    • Strong experience in specialized analytics tools and technologies (including, but not limited to)Azure Databricks/Alteryx/SQL
    • Power BI, Spotfire or other visualization tools
    • Python/ R
  • Reporting skills: Data collection, Data cleaning, Data Quality Analysis, Exploratory data analysis, Reporting Automation, Uni variate analysis, Bi-variate analysis, Data visualization, Dashboard maintenance and leverage various reporting tools
  • Should be strong at understanding data architecture or frameworks.
  • Assess data availability and reporting/modelling feasibility
  • Proficiency Level: Skill-to-Mastery
  • Special Challenges

    • Easily analyzes, draw and synthesizes important insights from complex data.
    • Identify relevant data sources available and pro-actively suggest on integration of various data sources to drive business requirements.
    • Extremely curious and self-driven to understand business performance through data.
    • Ability to translate a business question into a well-defined analytical plan that includes data requirements for technical resources to extract the necessary data.
    • Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
    • Communicating technical jargon in plain English to colleagues within Data Science team and outside
    • Virtual working with network of colleagues located throughout the globe

    Experience

    • Minimum 5-7 years of relevant experience in Retail Analytics
    • Should have strong experience in delivering dashboards with at least one of the technologies POWERBI/SPOTFIRE/QLIK
    • Preferred experience in Retail, CPG or E-commerce
    • Good interpersonal communication skills and influencing skills
    • Eagerness to learn and ability to work with limited supervision

    Apply Here

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