Senior Manager- Data Analytics

Job Description

Senior Manager – Data Analytics Overview: This role is responsible for managing a team of data professionals, delivering actionable insights, and ensuring that data initiatives positively impact business performance. Key Responsibilities: Strategy & Leadership Develop and execute a data strategy aligned with product development and business objectives. Lead and mentor a team of data analysts and BI professionals. Foster a culture of data-driven decision-making across the product lifecycle. Data Operations & Insights Oversee data collection, analysis, and interpretation to deliver actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support business decisions. Integrate new data sources and technologies to enhance and innovate product analytics. Performance Measurement Define and track product-specific KPIs and metrics to evaluate performance and inform strategy. Assess the impact of data-driven initiatives on product success and user experience. Stakeholder Collaboration Communicate complex data concepts clearly to non-technical stakeholders to support strategic decision-making. Collaborate with cross-functional teams to understand and address product data needs effectively. Provide insights and recommendations to guide strategic product initiatives and enhancements. Innovation & Advocacy Advocate for the role of analytics in product innovation and growth. Share success stories and case studies that highlight the impact of data on product outcomes. Stay updated on trends and advancements in analytics and data technologies. Team Development Foster innovation in analytical methods and best practices to maintain a competitive edge. Encourage continuous learning and development within the data team to uphold excellence in analytics. Qualifications: Education: Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence. Proven track record of leading high-performing analytics teams. Skills: Demonstrated success in implementing data strategies and building data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools such as SQL, Python, R, Tableau, Power BI. Excellent leadership, communication, and presentation skills. Ability to translate complex data into clear, actionable business recommendations. Solid understanding of data governance, data quality, and data protection practices. Show more Show less