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.