Senior Product Analytics Manager, Retail Mobile App
Ford Motor CompanyAbout the role
We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Launched in 2023, Integrated Services creates and markets new customer experiences by integrating hardware, software and services across Ford Blue, Model e and Ford Pro. These products and services allow Ford's retail and commercial customers to customize their vehicles like never before with OTA (over-the-air)-driven experiences that grow better over time. Ford is developing leadership at the forefront of connected, digital platforms that will revolutionize every aspect of how vehicles function, the way people interact with them, and the value those vehicles provide.
In this position...
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Do you have what it takes to make smart vehicles for a smart world? Join the FordPass Product team. Utilizing Design Thinking & User Experience methods, you'll work to deliver breakthrough products and services that delight our customers. We're seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!
Our product teams collaborate with various stakeholders and partners to build and ship delightful products at market speed to improve the lives of our customers. We are looking for experienced mobile app product managers who have a passion for growing their skills, engaging in exciting work, and tackling challenging problems as we build the future of connected experiences at Ford.
As a Product Analytics Manager, you will work directly with a cross-functional product team to deliver cross-channel digital interactions that delight, build connections, and deliver value to both customers and Ford.
What you'll do...
- Support ad-hoc Metrics Report and Monitoring requests by developing optimized queries and data visualizations.
- Support segmentation/demographic/behavioral causal analysis, develop hypothesis and design experimentation to positively impact mobile KPIs.
- You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps
- Design, develop, and maintain automated, self-service systems/reports/dashboards at-scale.
- Collaborate with other data scientists to model mobile attribution to overall Ford Customer Retention, loyalty and revenue.
- Establish analytical framework for product development by partnering with product and engineering teams to define measurement approach, quantifying, and evaluating success, and developing KPIs for ongoing measurement and reporting.
- Collaborate with product managers on experimentation design and planning as well as measuring the impact of the experiments.
- Collaborate with social listening team, UX researchers and other cross-functional team to provide digestible customer sentiments and insights.
- Support strategic decision by providing analytics and customer insights.
- Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop and evolve our analytic capabilities.
- Navigate ambiguity to develop analytic solutions and shape work for junior team members
You'll have...
- Bachelor's degree
- 5+ years of Analytics/Business Intelligence Engineering experience
- Knowledge of product experimentation
- Knowledge of data modeling
- Experience with data visualization using Tableau, Quicksight, R, Python or similar tools/languages
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Fluent in data analysis tools (esp. SQL and preferably Python/R), GCP/Hadoop, Tableau, experiment frameworks, and working across the full stack of data analysis (data engineering, ETL, data analytics, and data v
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