Head of Back Office & Data Operations (Retail Chain)

5 - 10 years

5 - 7 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Leadership & Management

    • Build and lead a high-performing back-office team responsible for invoicing, data management, and reporting.
    • Establish clear SOPs and performance metrics for accuracy, timeliness, and accountability.
    • Coordinate with store managers, finance, and procurement teams to ensure smooth data and invoice flow.
  • Data & Reporting

    • Oversee integration of daily transactional data from the SQL database into Excel, Power BI, and Looker Studio.
    • Ensure accurate per-transaction cost, price, and margin data across all stores.
    • Develop and maintain automated dashboards for store performance, category margins, and data quality.
    • Implement data validation and reconciliation processes to eliminate errors and inconsistencies.
  • Process Optimization

    • Identify inefficiencies in invoice, data entry, and reporting processes; design and implement improvements.
    • Introduce tools and automation (Power Query, Power Automate, or dbt) to reduce manual effort and increase data accuracy.
    • Standardize templates and ensure synchronization between Excel models, Power BI dashboards, and SQL sources.
  • Cross-Functional Collaboration

    • Work closely with IT, Accounting, and Operations teams to ensure system reliability and end-to-end workflow integrity.

Required Skills & Qualifications

  • Proven experience (510 years) in

    retail operations, back-office management

    , or

    data operations leadership

    .
  • Strong hands-on knowledge of

    Excel

    ,

    Power BI

    , and

    SQL-based systems

    .
  • Experience managing technical or data-focused teams in a multi-store retail environment.
  • Ability to design and implement automated workflows using tools like

    Power Query

    ,

    Power Automate

    , or

    Looker Studio

    .
  • Excellent organizational and communication skills; able to translate data insights into operational improvements.
  • Strong problem-solving mindset with a focus on process efficiency and accountability.

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