Data Analytics Manager, Senior

What you will do:  

• Lead the end-to-end analytics process for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms. 
• Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes. 
• Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user engagement of relevant system. 
• Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization. 
• Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization. 
• Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training. 
• Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams. 
• Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality. 
• Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels. 
• Partner with Engineering to manage analytics tools ensuring smooth data flow and governance. 
• Champion responsible data use, ensuring adherence to internal policies and external regulations. 

You need to have:

• Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience. 
• 7+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.  
• 4+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.   
• 3+ years of experience presenting insights to senior leadership or high-level audiences. 
• 3+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results and making recommendations. 
• Strong experience in product analytics, sales analytics, or data strategy roles. 
• Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.  
• Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.  
• Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.   
• Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates 
• Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI). 
• Deep understanding of customer journey analytics, KPI development, and data storytelling. 
• Experience managing large-scale datasets, data platforms, and pipelines. 
• Proven ability to lead cross-functional projects. 
• Excellent communication and stakeholder engagement skills. 
• Familiarity with data privacy standards and compliance best practices. 

Special Requirements: 

• Candidates may be required to pass a test for this position.