Your Mission:
The Global Analytics & Data Products Team is building a best-in-class analytics team in support of Stellantis' new Software Group. As a Staff member of our Data Analyst crew, your mission is to put science into decision-making across Software features as a model member of a cross-functional team building the best experiences for our customers.
Responsibilities of the Role:
- Realize rapid iteration on product and business model design through revolutionary analytics approaches
- Be an advocate for data science, software product managers, designers and engineering stakeholders to answer mission-critical questions
- Be a model analytics translator, ensuring that insights and recommendations are communicated across disciplines successfully
- Define centralized, global definitions and business logic for vehicle and software metrics related to your products
- Routinely identify and drive results on the highest potential projects through cross-functional collaboration
- Deliver high-quality performance analyses of user experience, engagement, retention and monetization with realized impacts on customer experience, engagement, retention and monetization
- Identify and communicate telemetry requirements and work with our development teams to ensure successful and timely implementation
Top Performers will be able to repeatedly demonstrate having delivered:
- Measurable efficiencies in workflows, tools and agile development processes through reusable best-practices
- Measurable consumer engagement impact through research and retrospective analysis
- Measurable revenue impact through research and retrospective analysis
- Measurable consumer experience impact through research and retrospective analysis
- Incremental value through a solid understanding of user engagement and monetization strategies for software products
Basic Qualifications:
- A minimum of 8 years of experience in customer/ client-facing analytics role
- Bachelor's Degree in Electrical, Mechanical, or Computer Engineering or related degree field
- Mastery of technical skills in SQL/Scala/Spark/Python/R for data analysis and expertise with visualization tools such as Tableau, Qlik, PowerBI, Looker, Shiny, Seaborn, etc
- Master in deriving a narrative from data and communicating the results effectively with all audiences
- Demonstrated experience leading cross-functional teams
Preferred Qualifications:
- Master's degree
- Prior experience in partnering with Product Owners/ managers in data driven product lifecycle management (Discovery, Design, Delivery & Live Operations)
- Hands-on Experience in Experimental design, Hypothesis design & formulation including A/B testing.
- Sound Communication skills in presenting the outcomes to technical & non-technical audiences alike(passion for documentation is a huge plus)
- Hands-on experience in SQL( to query & read data), R or Python( for stat modelling, algo writing)
- Expert in working in a notebook-based workflow
- Comprehensive experience in providing analytics solutions and value for xaaS products (SaaS, GaaS, PaaS, etc.)
- Familiar with maintaining ETL job orchestration tooling (airlfow, Jenkins, etc.)
- A passion for Product Analyti cs, software development and the automotive industry a plus