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Group Product Analyst I

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Key Accountabilities

JOB DESCRIPTION

  • Design and implement enterprise-scale data pipelines and analytics platforms that transform raw data into strategic insights
  • Create executive-level dashboards and reports that drive strategic business decisions
  • Lead cross-functional analytics projects from requirements gathering through deployment, managing stakeholder expectations and leading end to end delivery
  • Partner with Product Owners, Data Scientists, and senior leadership to align analytics initiatives with business strategy
  • Design and maintain enterprise data models and data warehouses that scale with organizational growth
  • Optimize complex SQL queries and implement efficient ETL/ELT processes for large-scale data processing
  • Develop production-ready Python/Pyspark/SQL code for advanced analytics & automation
  • Develop advanced analytical models including predictive analytics, segmentation, and optimization algorithms for business growth
  • Architect cloud-based analytical solutions on Azure, optimizing for performance and cost efficiency
  • OTHER ACCOUNTABILITIES (Secondary Responsibilities)
  • Implement data governance frameworks including quality standards, documentation, and compliance requirements
  • Present complex analytical findings to non-technical executives and business stakeholders
  • Stay current with industry trends and introduce new analytics technologies and methodologies
  • Contribute to product roadmap decisions based on data-driven insights and market analysis
  • Facilitate analytics community of practice sessions and knowledge sharing initiatives
  • Collaborate with IT architecture teams on technical standards and infrastructure decisions

Qualifications, Experience And Skills

  • B.E./B.Tech in Computer Science, IT, or related field;
  • 3-8 years of experience in data analytics, business intelligence, or related fields
  • Strong analytical thinking and ability to interpret complex datasets.
  • Strong verbal and written communication skills - able to simplify and present insights.
  • Expert-level SQL skills including stored procedures, performance tuning, and complex data modelling
  • Hands-on experience with cloud platforms (Azure Data Factory, Databricks, AWS, or GCP equivalents)
  • Proficiency in advanced Excel and ability to visualize datasets
  • Advanced Python programming with pandas, numpy, scikit-learn, and production deployment experience (Good to have)
  • Experience with Power BI, including DAX, custom visuals, and enterprise deployment (Good to have)
  • Experience with big data technologies (Spark)
  • Proven track record of leading analytics projects and mentoring technical teams

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