Lead Data Analyst - Python/PySpark

Job Description :

Key Responsibilities :

- Lead data-driven initiatives and mentor junior analysts within the analytics team.

- Work cross-functionally with marketing, supply chain, and business units to deliver actionable insights.

- Deploy analytics algorithms and tools on modern tech stacks for efficient data processing.

- Develop data models, dashboards, and visualizations to support decision-making.

- Manage and transform large datasets using Spark, SQL, Python, or PySpark.

- Utilize Databricks and Azure for data engineering and analytics tasks.

- Apply statistical modeling and advanced analytical techniques using Python, PySpark, or R.

- Build and maintain BI reports using tools such as Power BI, Tableau, or Alteryx.

- Collaborate with global data teams to standardize analytics processes and ensure consistent reporting.

- Identify areas of risk and opportunity through data exploration and predictive analytics.

Required Skills & Experience :

- 4+ years of experience as a Data Analyst or in a quantitative analytics role.

- Proven experience in retail, supply chain, e-commerce, or marketing analytics domains.

- Strong programming and data handling skills with Spark, SQL, Python, or PySpark.

- Proficiency in Databricks and Azure data environments.

- Understanding of statistical modeling and machine learning concepts.

- Experience using BI tools (Power BI, Tableau, Alteryx) for visualization and reporting.

- Prior experience leading or mentoring analysts in a professional setting.

- Exposure to cloud computing services (Azure, AWS, or GCP) for analytics workflows.

- Strong communication, stakeholder management, and problem-solving skills.

Must-Have Requirement :

Must be comfortable working onsite 5 days a week at the Gurugram office