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Manager - Data Analytics

Manager - Data Analytics

Deutsche Telekom Digital LabsIndia
26 days ago
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.

ualifications : 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.
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