Note: The job is a remote job and is open to candidates in USA. Federal Express Corporation is seeking a Digital / Principal Product Analytics professional to lead the measurement strategy for a portfolio of products and platforms. The role involves building forecasting models, identifying trends in user behavior, and mentoring analysts while influencing strategic investment decisions through data analysis.
Responsibilities
- Leads the measurement strategy for a portfolio of products, platforms, or customer journeys
- Builds advanced forecasting models, opportunity sizing frameworks, or growth models
- Identifies long-range trends in user behavior or business performance
- Influences strategic investment decisions and product vision through data
- Mentors senior and mid-level analysts; set best practices for analysis, visualization, and experimentation
- Performs other duties as assigned
Skills
- Leads the measurement strategy for a portfolio of products, platforms, or customer journeys
- Builds advanced forecasting models, opportunity sizing frameworks, or growth models
- Identifies long-range trends in user behavior or business performance
- Influences strategic investment decisions and product vision through data
- Mentors senior and mid-level analysts; set best practices for analysis, visualization, and experimentation
- Performs other duties as assigned
- Strong technical background, with experience writing SQL to drive reporting and dashboarding for business stakeholders
- Familiarity with BI tools commonly found in the modern data stack (Power BI, Tableau, Metabase, Hex, Looker, Sigma)
- Familiarity with cloud-based data warehouses (Databricks, GCP, Redshift, Snowflake) and data management best practices
- Bachelor's degree in business or related field. In lieu of degree, nine (9) years of practical experience may offset education requirements
- Five (5) years in product analytics, business intelligence, data science, or related field. Experience leading analytics for platform, growth, or monetization teams
- Expert in SQL and BI tooling; strong understanding of experimentation design
- Proven ability to influence senior stakeholders through clear, compelling insights
- Familiarity with revenue modeling, feature adoption curves, or retention dynamics
- Some business travel may be required
- Professional experience with additional programming languages (Python, R, etc) a plus, but not required
- Professional experience with other tools in the modern data stack (dbt, Airflow, Prefect, Fivetran) a plus, but not required
- Professional experience in logistics / supply chain a plus, but not required
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