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?
**What you´ll need**:
- Degree in Analytics, Business Intelligence, Finance, Statistics or Computer Science, or other analytical discipline
- Outstanding problem-solving skills, including the ability to:
- Analyse situations and determine the best metrics for a situation
- Conceptualise player behaviours based on data
- Identify meaningful proxies of player behaviours where data doesn't exist
- Strong work ethic, intellectual curiosity, and drive to complete projects
- Experience using SQL, including complex queries from multiple data sources
- Experience creating, operating and analysing multiple simultaneous A/B tests
- Strong communication and presentation skills, including extensive use of chart and table tools
- Ability to understand and act on changing priorities, and execute multiple competing projects based on business case and expected impact
- Familiarity with data and BI presentation tools (Looker/Google Sheets or equivalent)
- Strong English language skills are required for this role as we have a highly diverse and global business
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you.
**Responsibilities**:
- Work collaboratively with Marketing teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization.
- Develop data collection systems & strategies to optimize statistical efficiency & data quality.
- Proactively perform a wide range of analyses to identify/interpret trends, issues, and opportunities across UA & Marketing
- Answer marketing-related questions & generate marketing reports through exploratory data analyses and ad-hoc reporting
- Design and implement advanced statistical testing for specific problem-solving needs (e.g. A/B testing)