Role Description As a Data Analyst on the User Analytics & Insights team, you will help cross-functional teams make better decisions through data. This role will support one of two business areas: Marketing or Apps. In either area, you will partner with Product, Marketing, Growth, Engineering, Data, and Business teams to understand user behavior, measure performance, support experimentation, and create reporting that helps teams track progress against key goals. This role is ideal for someone who is highly analytical, comfortable working with large datasets, and able to turn business questions into clear analysis, dashboards, and recommendations. You will be responsible for: - Building and maintaining self-service reporting - Creating user segments - Supporting experiment setup and analysis - Helping stakeholders understand what is happening, why it is happening, and what actions to take next This is a full-time role that can be held from one of our US offices or remotely in the United States. Qualifications - 2+ years of experience in analytics, data analysis, product analytics, marketing analytics, business analytics, or a related field - Strong proficiency in SQL for data manipulation, analysis, validation, and reporting - Experience building dashboards and visualizations in tools such as Hex, Tableau, Looker, Grafana, Mode, or similar platforms - Working knowledge of A/B testing concepts, including hypothesis creation, metric selection, sample sizing, segmentation, and result interpretation - Experience creating user segments, cohorts, or audience groups for analysis, experimentation, reporting, or targeting - Ability to analyze funnels, retention, engagement, conversion, campaign performance, app behavior, or other user/business metrics - Strong attention to detail and ability to identify data quality issues - Strong communication skills, with the ability to explain findings clearly to both technical and non-technical audiences - Ability to manage routine analytical requests independently while escalating ambiguity, blockers, or trade-offs with clear context - Comfort working in a fast-paced environment with evolving priorities and imperfect data Requirements - Experience with dbt or analytics engineering workflows - Experience using Git/GitHub for version control, collaboration, or code review - Experience with Python for data analysis, automation, visualization, or statistical analysis - Familiarity with martech, lifecycle marketing, campaign platforms, CDPs, attribution, or audience activation tools - Familiarity with app analytics, event-based tracking, product instrumentation, feature adoption analysis, or app engagement metrics - Experience partnering with Product, Marketing, Growth, or Engineering teams - Comfort using Google Sheets for collaboration and lightweight analysis Benefits At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $92,331-$108,625. Discover our benefits and how our employees live rewarded at https://fetch.com/careers .

• Own production data products • Design and analyze experiments • Build reliable analytical foundations • Solve ambiguous business problems • Turn data into decisions • Continuously improve our data platform

• Support the Safeguards risk-based review selection process. • Maintain and enhance risk models, health score calculations, data fields, scripts, macros, dashboards, and analytics. • Identify the most at-risk agency partners and support review prioritization.

Role Description We are seeking a Technical Analytics Manager/Lead Data Scientist to lead the design, development, testing, validation, and deployment of advanced analytics, machine learning models, and AI-enabled fraud detection capabilities supporting federal oversight and investigative activities. The successful candidate will provide technical leadership across multiple analytics projects while ensuring high-quality deliverables, mentoring technical teams, and collaborating with government stakeholders to detect fraud, waste, abuse, and mismanagement across large federal benefit programs. Responsibilities - Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading edge analytic tools and best practices. - Five (5) or more years of hands-on experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control. - Experience ideating use cases using innovative approaches to detect and prevent fraud, waste, abuse, and mismanagement. - Five (5) or more years of tracking project progress and identifying and mitigating risks and issues associated with delivering projects on time and at a high level of quality. - Five (5) or more years of conducting thorough review and quality control on contractor support teams’ work products before analytic models and insights are finalized. - Five (5) or more years of hands-on experience coding rules and models using open-source programming techniques and tools. - Strong oral and written skills. Qualifications - Minimum 5 years developing fraud detection analytics. - Minimum 5 years designing analytic approaches and managing model development. - Minimum 5 years coding in Python or other open-source programming languages. - Experience with machine learning, anomaly detection, predictive analytics, and AI. - Experience leading technical teams. - Excellent verbal and written communication skills. Preferred Qualifications - Experience supporting federal oversight agencies. - Experience with Databricks, SQL Server, Azure. - Experience supporting fraud detection for federal benefit programs. - Experience with graph analytics and Neo4j. Benefits - 401(k) - Dental insurance - Health insurance - Paid time off - Vision insurance Company Description This is a remote position.