Senior Data Analyst, Fraud and Identity
Ladders · United States
- Hybrid
- Full-time
- $140,500 / year
- United States
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Job highlights
- Analyze fraud and identity data for consumer tech company.
- Develop reports and dashboards for business insights.
- Identify fraudulent patterns and propose mitigation strategies.
- Collaborate with engineering and product teams.
- Utilize SQL, Python/R, and visualization tools.
About the role
About the Role
For our client, a leader in the Consumer Technology space, we are seeking a Senior Data Analyst, Fraud and Identity. This role is pivotal in transforming raw data into actionable insights that enhance visibility, improve decision-making, and drive business performance. You will collaborate closely with business, technical, and operational stakeholders to develop robust reporting, identify key trends, and translate analytical findings into concrete actions. This position offers a significant opportunity to bolster data-driven strategies and help teams concentrate on the most critical metrics within a dynamic, technology-focused environment.
Responsibilities
- Monitor and enhance key fraud-related KPIs, including costs, chargeback volume, and fraud rates.
- Communicate analytical outcomes and insights to guide strategic decisions across various functions.
- Develop dashboards and reporting models to provide unified views of critical business metrics.
- Analyze shopper behavior to identify fraudulent patterns.
- Design and execute A/B and multivariate tests to derive actionable insights.
- Collaborate with engineering and product teams to ensure accurate data tracking and integrity.
- Build automated reporting systems to monitor trends and variations in data.
Qualifications
- 6-8 years of analytical experience, preferably in payments, fraud, or identity domains.
- Proven track record in identifying root causes and recommending mitigation strategies.
- Strong analytical skills for resolving complex transaction issues.
- High proficiency in SQL and experience with analytical queries.
- Experience in R/Python or similar programming languages.
- Familiarity with visualization tools like Tableau or Looker.
- Understanding of A/B testing and statistical analysis techniques.
- Excellent verbal and written communication skills.
- Ability to collaborate effectively with cross-functional teams.
- High level of accountability and strategic mindset.
Benefits
- Remote work flexibility under the Flex First policy.
- Equity grants upon hiring and annual refresh grants.
- Market-competitive compensation in each location.
- Opportunity to work within a dedicated and experienced analytics team.
- Strong emphasis on professional growth and continuous learning.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Key skills/competency
- Data Analysis
- Fraud Detection
- Identity Verification
- SQL
- Python
- R
- Tableau
- Looker
- A/B Testing
- Statistical Analysis
Skills & topics
- Senior Data Analyst
- Fraud Detection
- Identity Management
- Data Analysis
- Consumer Technology
- SQL
- Python
- R
- Tableau
- Looker
- A/B Testing
- Statistical Analysis
- Remote
How to get hired
- Tailor your resume: Highlight your 6-8 years of analytical experience, focusing on fraud, identity, or payments. Quantify achievements in root cause analysis and mitigation strategies.
- Showcase technical skills: Emphasize your proficiency in SQL and experience with R/Python and visualization tools like Tableau/Looker.
- Demonstrate strategic thinking: Provide examples of how you've used data to drive strategic decisions and improve business performance.
- Prepare for interviews: Be ready to discuss complex transaction issues, A/B testing, and statistical analysis techniques. Highlight your collaborative and accountable approach.
Technical preparation
Master SQL for complex analytical queries.,Practice Python or R for data manipulation.,Build dashboards in Tableau or Looker.,Study fraud patterns and A/B testing.
Behavioral questions
Describe a complex fraud issue you solved.,How do you translate data into strategy?,How do you collaborate with engineering teams?,Tell us about a time you improved a process.
Frequently asked questions
- What are the key responsibilities of a Senior Data Analyst, Fraud and Identity at Ladders?
- As a Senior Data Analyst, Fraud and Identity at Ladders, you will be responsible for monitoring fraud KPIs, communicating insights to stakeholders, developing reports and dashboards, analyzing shopper behavior to detect fraud, designing and executing A/B tests, and collaborating with engineering and product teams to ensure data integrity.
- What qualifications are essential for the Senior Data Analyst, Fraud and Identity role?
- Essential qualifications include 6-8 years of analytical experience (preferably in fraud, identity, or payments), strong SQL skills, experience with R/Python, familiarity with visualization tools (Tableau/Looker), and knowledge of A/B testing and statistical analysis.
- Is this a remote position and are there location restrictions for the Senior Data Analyst, Fraud and Identity role?
- Yes, this is a fully remote position. However, only US-based candidates will be considered, and visa sponsorship is not available.
- What is the salary range for the Senior Data Analyst, Fraud and Identity position?
- The annual compensation for this role ranges from $133,000 to $140,500.
- What tools and programming languages are commonly used in this Senior Data Analyst role?
- Candidates should be proficient in SQL and have experience with analytical queries. Experience with R/Python and data visualization tools like Tableau or Looker is also expected.
- Does Ladders offer professional growth opportunities for this Senior Data Analyst role?
- Yes, Ladders emphasizes professional growth and continuous learning, offering opportunities to strengthen data-driven execution and work within a dedicated analytics team.