Changing the world through digital experiences is what Adobe’s all about. We
give everyone—from emerging artists to global brands—everything they need to
design and deliver exceptional digital experiences! We’re passionate about
empowering people to create beautiful and powerful images, videos, and apps,
and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating
exceptional employee experiences where everyone is respected and has access to
equal opportunity. We realize that new ideas can come from everywhere in the
organization, and we know the next big idea could be yours!
- The Fraud Data Analyst is an experienced professional that uses their technical skills to identify fraud trends, automate processes, provide data driven insights, draw conclusions and recommendations. The candidate has a passion for fraud detection and creativity providing solutions towards wide variety of business problems using data. The analyst will work with different partners across Adobe to develop outstanding fraud detection capabilities.
**What you 'll Do **
- Exceptional analytical ability and good eye for business with at least 10 years of relevant experience.
- Collaborate with multi-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on the most pressing business questions
- Perform data analyses to gain insights and detect fraud and abuse across platforms and products.
- Automate manual workflows to build efficiencies across investigations and operational workflows.
- Improve tools through data analysis, technical expertise, and presentations to key partners.
- Translate investigations and intel into root cause analysis to find opportunities for scale.
What you need to succeed
- Master's Degree or Bachelor's Degree along with relevant experience preferably in mathematics, information systems, data analysis.
- 6+ years of data analytics experience.
- 2+ years of fraud analytics experience.
- Deep Technical proficiency in SQL.
- Substantial experience with data visualization platforms (e.g. Power BI, Tableau, Looker).
- Ability to calculate fraud, risk and abuse trends.
- Experience in business and fraud analytics and insights.
- Ability to identify the root cause of problems and identify, propose, and recommend innovative solutions.
- Ability to work in terminal environments.
- Exposure to ML/AI or tools such as R, Python is nice to have.
- Experience using statistics (A/B testing, regression, etc) is a plus.
Our compensation reflects the cost of labor across several U.S. geographic
markets, and we pay differently based on those defined markets. The U.S. pay
range for this position is $74,200 -- $165,500 annually. Pay within this range
varies by work location and may also depend on job-related knowledge, skills,
and experience. Your recruiter can share more about the specific salary range
for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target
compensation (TTC = base + commission), and short-term incentives are in the
form of sales commission plans. Non-sales roles starting salaries are
expressed as base salary and short-term incentives are in the form of the
Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the
form of a new hire equity award.