Lead Data Analyst - Python/PySpark

<p>Job Description :</p><p><br/></p><p>Key Responsibilities :</p><p><br/></p><p>- Lead data-driven initiatives and mentor junior analysts within the analytics team.</p><p><br/></p><p>- Work cross-functionally with marketing, supply chain, and business units to deliver actionable insights.</p><p><br/></p><p>- Deploy analytics algorithms and tools on modern tech stacks for efficient data processing.</p><p><br/></p><p>- Develop data models, dashboards, and visualizations to support decision-making.</p><p><br/></p><p>- Manage and transform large datasets using Spark, SQL, Python, or PySpark.</p><p><br/></p><p>- Utilize Databricks and Azure for data engineering and analytics tasks.</p><p><br/></p><p>- Apply statistical modeling and advanced analytical techniques using Python, PySpark, or R.</p><p><br/></p><p>- Build and maintain BI reports using tools such as Power BI, Tableau, or Alteryx.</p><p><br/></p><p>- Collaborate with global data teams to standardize analytics processes and ensure consistent reporting.</p><p><br/></p><p>- Identify areas of risk and opportunity through data exploration and predictive analytics.</p><p><br/></p><p>Required Skills & Experience :</p><p><br/></p><p>- 4+ years of experience as a Data Analyst or in a quantitative analytics role.</p><p><br/></p><p>- Proven experience in retail, supply chain, e-commerce, or marketing analytics domains.</p><p><br/></p><p>- Strong programming and data handling skills with Spark, SQL, Python, or PySpark.</p><p><br/></p><p>- Proficiency in Databricks and Azure data environments.</p><p><br/></p><p>- Understanding of statistical modeling and machine learning concepts.</p><p><br/></p><p>- Experience using BI tools (Power BI, Tableau, Alteryx) for visualization and reporting.</p><p><br/></p><p>- Prior experience leading or mentoring analysts in a professional setting.</p><p><br/></p><p>- Exposure to cloud computing services (Azure, AWS, or GCP) for analytics workflows.</p><p><br/></p><p>- Strong communication, stakeholder management, and problem-solving skills.</p><p><br/></p><p>Must-Have Requirement :</p><p><br/></p><p>Must be comfortable working onsite 5 days a week at the Gurugram office </p> (ref:hirist.tech)