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 Analytics, software development and the automotive industry a plus
Salaried Employee Benefits (US, Non-Represented)
Health & Wellbeing
Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability.
Compensation, Savings, and Retirement
Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing.
Time Away from Work
Paid time includes company holidays, vacation, and Float/Wellbeing Days.
Family Benefits
12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances.
Professional Growth
Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups.
Company Car & More
Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.