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Analytics Team Lead
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#795777
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Questhiring
Job Description
ob description
Lead Analytics
Location: Gurgaon
Experience: 9–14 Years
Employment Type: Full-time
About the Role
We are looking for an experienced Lead Analytics professional to drive analytics strategy, data-driven decision-making, and advanced insights across the organization. The role will work closely with business, product, technology, and leadership teams to translate complex data into actionable recommendations and measurable business outcomes.
Key Responsibilities
• Lead the analytics function and define the roadmap for business and product analytics.
• Partner with senior stakeholders to identify business problems and convert them into analytical solutions.
• Build and manage scalable dashboards, reporting frameworks, and analytical models.
• Drive advanced analytics, predictive analytics, segmentation, forecasting, and experimentation initiatives.
• Develop key business metrics, KPIs, measurement frameworks, and performance monitoring mechanisms.
• Work closely with Product, Engineering, Marketing, Finance, and Operations teams to deliver actionable insights.
• Identify trends, opportunities, risks, and growth levers through data analysis.
• Establish strong data governance, analytics standards, and quality frameworks.
• Mentor and develop a team of analysts and analytics professionals.
• Present complex analytical findings and recommendations clearly to senior leadership.
• Drive automation of recurring reports and analytics processes.
• Ensure analytics solutions are scalable, accurate, and aligned with business priorities.
Technical Skills
Must Have:
• 9–14 years of experience in Analytics, Business Analytics, Product Analytics, Data Analytics, or a related field.
• Strong expertise in SQL and analytical data manipulation.
• Hands-on experience with Python/R for analytics and statistical modelling.
• Strong experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong understanding of data warehousing, ETL/ELT, data modelling, and analytical datasets.
• Experience defining and tracking business/product KPIs.
• Strong understanding of statistics, experimentation, hypothesis testing, and predictive analytics.
• Experience working with large and complex datasets.
Good to Have:
• Experience with cloud data platforms such as GCP, AWS, or Azure.
• Exposure to Machine Learning, GenAI, or AI-driven analytics.
• Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or similar.
• Experience building analytics products or self-service analytics platforms.
Leadership & Stakeholder Management
• Strong ability to influence business decisions through data and insights.
• Experience managing or mentoring analytics teams.
• Excellent communication and storytelling skills.
• Ability to work effectively with senior leadership and cross-functional stakeholders.
• Strong problem-solving and structured-thinking approach.
• Ability to balance strategic thinking with hands-on analytical execution.
Education
• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Data Science, Business Analytics, or a related discipline.
• MBA/PGDM from a reputed institution is an added advantage.
What We Are Looking For
We are looking for a data-driven analytics leader who can combine strong technical expertise, business acumen, and leadership skills to build a high-impact analytics function and enable better, faster decision-making across the organization.
Report this listing
Lead Analytics
Location: Gurgaon
Experience: 9–14 Years
Employment Type: Full-time
About the Role
We are looking for an experienced Lead Analytics professional to drive analytics strategy, data-driven decision-making, and advanced insights across the organization. The role will work closely with business, product, technology, and leadership teams to translate complex data into actionable recommendations and measurable business outcomes.
Key Responsibilities
• Lead the analytics function and define the roadmap for business and product analytics.
• Partner with senior stakeholders to identify business problems and convert them into analytical solutions.
• Build and manage scalable dashboards, reporting frameworks, and analytical models.
• Drive advanced analytics, predictive analytics, segmentation, forecasting, and experimentation initiatives.
• Develop key business metrics, KPIs, measurement frameworks, and performance monitoring mechanisms.
• Work closely with Product, Engineering, Marketing, Finance, and Operations teams to deliver actionable insights.
• Identify trends, opportunities, risks, and growth levers through data analysis.
• Establish strong data governance, analytics standards, and quality frameworks.
• Mentor and develop a team of analysts and analytics professionals.
• Present complex analytical findings and recommendations clearly to senior leadership.
• Drive automation of recurring reports and analytics processes.
• Ensure analytics solutions are scalable, accurate, and aligned with business priorities.
Technical Skills
Must Have:
• 9–14 years of experience in Analytics, Business Analytics, Product Analytics, Data Analytics, or a related field.
• Strong expertise in SQL and analytical data manipulation.
• Hands-on experience with Python/R for analytics and statistical modelling.
• Strong experience with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
• Strong understanding of data warehousing, ETL/ELT, data modelling, and analytical datasets.
• Experience defining and tracking business/product KPIs.
• Strong understanding of statistics, experimentation, hypothesis testing, and predictive analytics.
• Experience working with large and complex datasets.
Good to Have:
• Experience with cloud data platforms such as GCP, AWS, or Azure.
• Exposure to Machine Learning, GenAI, or AI-driven analytics.
• Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or similar.
• Experience building analytics products or self-service analytics platforms.
Leadership & Stakeholder Management
• Strong ability to influence business decisions through data and insights.
• Experience managing or mentoring analytics teams.
• Excellent communication and storytelling skills.
• Ability to work effectively with senior leadership and cross-functional stakeholders.
• Strong problem-solving and structured-thinking approach.
• Ability to balance strategic thinking with hands-on analytical execution.
Education
• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Data Science, Business Analytics, or a related discipline.
• MBA/PGDM from a reputed institution is an added advantage.
What We Are Looking For
We are looking for a data-driven analytics leader who can combine strong technical expertise, business acumen, and leadership skills to build a high-impact analytics function and enable better, faster decision-making across the organization.
Report this listing
