Senior Analytics Manager - Python/SQL

Role &

Responsibilities :

• Lead the analytics function and manage a team of data/analytics professionals to deliver high-impact business insights.
• Partner with senior leadership and cross-functional stakeholders across business, product, marketing, finance, operations, and technology to identify and solve strategic business problems.
• Translate complex business questions into analytical frameworks, metrics, dashboards, and actionable recommendations.
• Own the development and implementation of data-driven strategies, KPIs, reporting frameworks, and analytics solutions.
• Drive advanced analytics, including trend analysis, segmentation, forecasting, customer analytics, profitability analysis, and performance optimization.
• Build and maintain executive dashboards and management reports, ensuring accuracy, consistency, and timely delivery.
• Establish robust data quality, governance, documentation, and measurement standards across analytics initiatives.
• Identify opportunities to automate recurring reports and analytical processes, improving efficiency and scalability.
• Present analytical findings and recommendations to senior management in a clear, concise, and business-oriented manner.
• Mentor and develop analytics team members, establish best practices, and promote a strong data-driven culture.
• Manage multiple analytics projects simultaneously, including prioritization, stakeholder alignment, timelines, and delivery.
• Evaluate new analytical tools, technologies, and methodologies to improve the organization's analytics capabilities.

Preferred Candidate Profile :

• 8 - 10 years of experience in analytics, business intelligence, data analytics, consulting, or a related field, with relevant experience in a managerial/leadership capacity.
• Bachelor's or Master's degree in Engineering, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative discipline.

Tech Stack :

• SQL, Python/R, Power BI, Tableau, Looker, AWS, Azure, GCP, Snowflake, Databricks, BigQuery.
• Strong understanding of statistics, experimentation, forecasting, segmentation, and predictive analytics.
• Experience managing, mentoring, or leading an analytics/data science team.
• Strong stakeholder-management and communication skills.
• Candidates from technology, fintech, e-commerce, BFSI, SaaS, consulting, telecom, retail, or other data-intensive industries would be preferred.