Senior Game Data Analyst
Apr 08, 2023
San Diego, United States
- 7+ Years of experience in analytics or related field
- 7+ Years of SQL experience
- 5+ Years of experience in gaming analytics
- 3+ Years of working on live-operations games
Amazon is all-in on games, and our mission is to be the most customer-obsessed company in the games industry. At Amazon Games, we’re creating compelling games like New World, a sandbox MMO set on a supernatural continent, as well as several - as of yet - undisclosed titles. Amazon Games is also delivering great game benefits to Prime members each month via Prime Gaming, and providing game developers of all sizes with the tools they need to succeed with Amazon Game Tech
Amazon Games is looking for an experienced Lead Game Data Analyst to join our team in bringing our live operations games to market and in developing and growing business opportunities for Amazon.
As a Game Data Business Intelligence Engineer on our team, you will provide insight for and drive key business and game initiatives. You will work closely with product manager, game designers, and leadership to analyze and find solutions to modern gaming challenges.
About Amazon Games
Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.
Inclusive Culture, Work/Life Balance, & Career Growth
We embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
- Advanced SQL skills
- Advanced data visualization skills
- Expertise in data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with theory and practice of predictive analytics, machine Learning, or econometrics models
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python)
- Clear, concise, accurate communication (both verbal and written) with audiences of varying technical abilities and business contexts
- Passion for gaming
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.