Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to design and instrument scalable data solutions, build robust pipelines, and uncover actionable patterns across the internal and external customer journey. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.
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 customer 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.
- 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
- 3+ 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.
- 1+ 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.
