Senior Analytics Manager

Role & responsibilities

• Lead analytics strategy and execution across key business functions and strategic initiatives
• Manage and mentor a team of analysts, data scientists, and analytics professionals
• Translate business problems into analytical frameworks, actionable insights, and measurable outcomes
• Own the development of analytical models, dashboards, reports, KPI frameworks, and decision-support tools
• Partner with product, marketing, finance, sales, operations, and technology teams to identify high-impact analytics opportunities
• Drive advanced analytics, forecasting, segmentation, experimentation, and predictive modeling initiatives
• Design and evaluate A/B tests and experiments to measure the impact of products, campaigns, and business initiatives
• Establish and monitor business KPIs, metrics, targets, and performance measurement frameworks
• Use SQL, Python/R, statistical methods, and BI tools to analyze large and complex datasets
• Ensure analytical outputs are accurate, scalable, well-documented, and aligned with business requirements
• Present insights, trends, opportunities, and recommendations to senior leadership and executive stakeholders
• Develop data-driven business cases and support strategic planning and decision-making
• Collaborate with data engineering and platform teams to improve data availability, quality, pipelines, and analytical infrastructure
• Identify opportunities for automation and improve the efficiency of recurring analytics and reporting processes
• Manage analytics projects, priorities, timelines, resources, and stakeholder expectations
• Establish analytical best practices, quality standards, governance, and documentation
• Stay current with emerging analytics, AI, machine learning, visualization, and data technologies

Preferred candidate profile

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, Business Analytics, or another quantitative discipline
• 5 to 10 years of experience in analytics, data science, business intelligence, decision science, or a related field
• Proven experience leading analytics teams and delivering data-driven business outcomes
• Strong hands-on expertise in SQL, Python/R, Excel, statistical analysis, and data visualization
• Strong understanding of statistics, probability, hypothesis testing, regression, forecasting, experimentation, and A/B testing
• Experience with Power BI, Tableau, Looker, or similar BI and visualization platforms
• Working knowledge of machine learning, predictive analytics, segmentation, and customer/product analytics
• Experience working with large datasets and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Spark, or similar technologies
• Familiarity with AWS, Azure, or Google Cloud data and analytics ecosystems
• Strong understanding of data modeling, ETL/ELT, data warehousing, and data quality
• Excellent business acumen with the ability to connect analytical findings to revenue, growth, cost, customer, product, or operational outcomes
• Strong stakeholder management, executive communication, data storytelling, and presentation skills
• Ability to influence business and technical stakeholders and drive decisions using data
• Strong strategic thinking, problem-solving, prioritization, and project-management skills
• Experience working in Agile, cross-functional, product-oriented environments is desirable
• Experience with GenAI/AI-assisted analytics and automation is an advantage
• MBA/PGDM or a master's degree in Data Science, Statistics, Economics, Computer Science, Business Analytics, or a related field is desirable
• Certifications in cloud, analytics, data science, BI, or machine learning are an advantage