
Business Innovation Leader
2 weeks ago
Our company is seeking a Product Manager to lead the development and launch of internal analytics dashboards that drive business impact.
Key Responsibilities:
- Define strategy, roadmap, and launch impactful internal analytics dashboards for business, category, and CX teams.
- Partner with BI/Analytics teams to ensure dashboards are highly usable, actionable, and drive measurable impact.
- Lead initiatives to define, standardize, and productize key performance indicators (KPIs) such as Conversion Rate, Bounce Rate, Gross Merchandise Value (GMV) drivers, and other crucial metrics across all product teams.
- Ensure consistency in reporting, experimentation, and performance measurement.
- Facilitate seamless data access and provide deep insights for critical product flows, including search performance, recommendation systems, inventory alerts, and comprehensive funnel analytics.
- Gather and synthesize requirements from diverse stakeholders across the organization.
- Translate requirements into detailed data specifications and prioritize features that solve real business problems and deliver tangible value.
- Work with data engineering and QA teams to improve data accuracy, freshness, reliability, and governance across all data pipelines and reporting systems.
Ideal Candidate:
- Experience: 4-5 years in Product Management, Data Analytics, or managing Internal Platforms.
- A minimum of 2 years specifically in a dedicated product management role.
- Hands-on Technical Understanding: Possess practical experience with SQL for data querying and manipulation.
- Dashboarding Tools: Familiarity with popular dashboarding and data visualization tools like Looker, Power BI, and Tableau.
- Event Tracking Systems: Experience with event tracking and analytics systems like Omniture, Google Analytics, or Mixpanel.
- Communication & Stakeholder Management: Demonstrate strong communication, presentation, and stakeholder management skills.
Success Metrics:
- Increased adoption and usage of internal dashboards and data tools.
- High stakeholder satisfaction and reduced turnaround time for data requests.
- Demonstrable improvement in data accuracy and freshness.
- Significant reduction in dependency on manual data analysis by business teams.
- Quantifiable time saved for business teams through automation and improved data access
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