Manager - Data Analytics

Job Description

Responsibilities: • Develop and execute a data strategy to align with product development and business objectives. • Foster data-driven decision-making throughout the product lifecycle, from development to marketing. • Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. • Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. • Integrate new data sources and technologies to innovate and optimize product analytics. • Define and track product-specific KPIs and metrics to measure performance and inform strategy. • Provide insights and recommendations to support strategic product initiatives and enhancements. • Assess the impact of data-driven projects on product success and user experience. • Advocate for the value of data analytics in driving product innovation and growth. • Communicate complex data concepts to non-technical stakeholders to inform product strategy. • Collaborate with cross-functional teams to understand and address product data needs effectively. • Share success stories and case studies to illustrate the impact of data-driven product improvements. • Stay updated on industry trends and advancements in product analytics and technology. • Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. • Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. Ǫualifications: 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, with a proven track record of leadership. Skills: • Successful implementation of data strategies and fostering data-driven cultures. • Strong expertise in statistical analysis, data modeling, and data visualization. • Proficiency with analytics tools (e.g., SǪL, Python, R, Tableau, Power BI). • Excellent leadership, communication, and presentation skills. • Ability to translate data insights into actionable business recommendations. • Knowledge of ML, data governance, data quality, and data protection practices. Show more Show less