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Central Retail

Lead Data Analyst

5-7 Years
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Job Description

About the Role

We are looking for a Lead Data Analyst to join our Data & IT Operations team. In this role, you will lead analytical projects, mentor junior analysts, and work closely with business stakeholders to deliver data-driven insights that improve sales performance, customer experience, and business operations. You will use SQL, Python, and BI tools to turn complex datasets into clear, actionable recommendations.

Responsibilities

  • Lead the design and execution of advanced data analyses across retail business domains.
  • Build and optimize SQL queries and Python workflows for scalable data extraction, transformation, and modeling.
  • Develop and oversee dashboards and reporting solutions in Power BI and Looker Studio.
  • Leverage Google BigQuery for large-scale data management and advanced analytics.
  • Partner with business leaders to define KPIs, reporting frameworks, and data-driven strategies.
  • Mentor and support junior analysts, setting standards for analytics best practices.
  • Provide actionable insights and recommendations to support strategic decision-making.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's a plus).
  • 5+ years experience in data analytics, ideally with exposure to retail/e-commerce.
  • Strong expertise in SQL and hands-on Python for data analysis and modeling.
  • Proficiency in at least one BI tool (Power BI, Tableau, or Looker Studio).
  • Solid understanding of retail business metrics, KPIs, and analytics use cases.
  • Strong leadership, stakeholder management, and communication skills.

Nice to Have

  • Familiarity with Google BigQuery (GBQ).
  • Experience with ETL processes and cloud data platforms (GCP preferred).
  • Exposure to advanced analytics (predictive modeling, customer segmentation).

What We Offer

  • Opportunity to shape data strategy and analytics practices in a leading retail organization.
  • Collaborative and fast-paced environment with cross-functional exposure.
  • Competitive salary, leadership growth opportunities, and benefits package.

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About Company

Job ID: 135987647