Role Description Join BILL as a Staff Data Analyst and help shape the future of AI-native financial management for small and midsize businesses. You will partner closely with the team building BILL.AI, our platform's AI program and shared foundation, working alongside product, engineering, and design leaders to define what success looks like as we transform BILL from a "do-it-with-me" tool into a "do-it-for-you" platform. This role sits at the intersection of a genuinely new product domain and a cross-functional analytics challenge. You will be defining metrics for AI-powered workflows that do not have established benchmarks, measuring accuracy and trust in a domain where both are critical, and helping teams across Payments, Growth, and AP Product align around a shared understanding of how AI is performing across the BILL platform. The right candidate brings the rigor of a seasoned analyst, the technical depth to build AI-powered analytics systems, and the curiosity of someone energized by ambiguity and first-principles thinking. Responsibilities - Partner with product and engineering leaders across the AI program to define and own the metrics framework for BILL.AI, establishing the KPIs that matter: automation rates, no-touch workflow completion, AI accuracy, customer trust signals, and engagement across interaction channels including in-product, SMS, and Slack. - Conduct deep-dive analyses that go beyond surface-level dashboards, decomposing the drivers behind AI adoption and drop-off, identifying where the platform is building customer trust and where it is losing it, and surfacing findings that directly inform roadmap prioritization. - Build AI-augmented analytics systems that scale insight generation across the program, including LLM-powered tooling for synthesizing qualitative signals, automating insight extraction, and surfacing patterns that traditional analytics methods cannot efficiently capture at volume. - Serve as the analytical connective tissue across the AI program, working cross-functionally with teams spanning Integrated Experiences, APARAC Product, Payments, and Growth to ensure consistent metric definitions, avoid duplicated instrumentation, and enable reliable self-serve analytics. - Design and analyze experiments in new territory, building frameworks that allow teams to run rigorous tests even where there is no historical precedent, including studies of automation acceptance, AI transparency, and interaction model preferences. - Build scalable, reusable analytics infrastructure including dbt models, dashboards, and standardized metric definitions that serve multiple teams and reduce duplicated work across the analytics organization. - Translate complex AI performance signals into clear narratives and recommendations for Director and VP-level stakeholders, influencing decisions with data and defending analytical conclusions with confidence. - Mentor and develop junior and mid-level analysts on the team, providing technical feedback, guidance on problem-scoping, and support in navigating a complex cross-functional program environment. Qualifications - 5 or more years of experience in a data analyst role within a technology-driven or fintech environment. - A demonstrated track record of building metrics frameworks from the ground up in ambiguous, fast-moving product areas. - Advanced proficiency in SQL, and familiarity with Python for analysis. - Experience with dbt and data modeling, including designing reusable, production-grade data assets consumed by multiple teams. - Experience building or integrating with LLM APIs (such as OpenAI, Gemini, or Anthropic) to create scalable, AI-powered analytics workflows. - Strong experience with A/B testing and experiment design, including comfort operating in domains where controlled experimentation is limited. - Excellent data quality instincts, with experience identifying inconsistencies at the source rather than only in downstream reporting. - Strong written and verbal communication skills, with the ability to present analytical findings and recommendations to senior leadership with clarity and confidence. - A degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, or Computer Science. Desired Qualifications - Experience applying NLP or LLM-based techniques to analyze qualitative data at scale, such as customer feedback, transcripts, or survey responses. - Background in financial operations, fintech, or payments data domains. - Experience in a cross-functional analytics role where influence extended beyond a single feature team or reporting structure. - Familiarity with AI workflow automation tooling such as n8n or similar platforms. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.

Role Description We are seeking a Data Analyst II to join our growing Data organization and help set up our Financial Analytics team. The role reports into the Financial Analytics Senior Manager and will focus on creating insight to drive the growth of the business, partnering closely with the Accounting, Tax, and Finance functions. - Develop a strong understanding of Fanatics Betting and Gaming, as well as related products and operations. - Build strong relationships with internal stakeholders in Finance, Tax & Data. - Design and build insightful metric definitions, KPIs, and reporting. - Become a key voice in driving performance in a number of business areas (Product, Acquisition, Marketing, & CRM) across both Sportsbook, Casino & Markets. - Collaboration with other Analysts, Engineers and Data Scientists to find solutions to business problems. - Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence over time. - Remain current on technology and trends in data analytics and the sports betting & gaming world. - Work cross-functionally with Product and Engineering teams to understand greenfield initiatives, translate requirements into stakeholder impact, and build net-new solutions. - Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications - Strong analytical skills, with ability to extract data and transform it into both ad-hoc and structured continuous insights. - Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships. - Experienced with building dashboards and reporting tools (e.g. Tableau, Microstrategy, Power BI, Looker). - Customer obsessed and experience focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. - Strong skills in SQL. - Excellent at influencing and problem solving. - Positive and flexible attitude, a willingness to embrace new initiatives. - Experience or interest in the sports/betting industry/financial services are a bonus but not required. - Experience with DBT or equivalent data transformation tools are a bonus but not required. - Experience working with AI solutions to expedite coding and analysis (such as Snowflake Intelligence, Claude, or Copilot) is a bonus. - Experience with SOX and internal controls are a plus. Requirements If you possess some of these skills but not all of them, we still encourage you to apply! Benefits Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range £42,240 — £52,800 GBP By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.

Role Description We're looking for a Data Services Analyst to join our Insights & Analytics team to ensure accurate and timely delivery of data and custom reports to internal stakeholders and our customers. In this role, you’ll be expected to partner with our Insight Analysts, Client Services, Sales, and Marketing to deliver high quality custom data solutions that enable our customers to make key business decisions with zero friction. - Leverage our complex data pipeline to design custom data solutions that ensure accurate and timely delivery of data to internal and external stakeholders. - Own recurring data requests end-to-end, ensuring consistent, on-time delivery as a trusted point of accountability for the team. - Proactively collaborate with the Insight Analysts and Client Services to identify opportunities for Antenna data to drive high impact strategic decisions. - Partner with our technical and commercial teams to ensure that custom data products are shipped rapidly without compromising on Antenna’s high data quality standards. - Improve data access and reusability for internal stakeholders, building reusable SQL queries, Looker dashboards, and other internal tools that reduce repeat work across the team. - Evolve and improve our operational procedures and systems to strengthen data quality and reliability over time. Qualifications - Advanced knowledge and experience with SQL, Excel and business intelligence tools e.g. Looker, Redash (2+ years). - Ability to organize and analyze large amounts of data with intense attention to detail and accuracy. - Strong critical thinking and analysis fundamentals, and passionate about applying them to solve complex, open-ended problems. - Proven track record of collaborating with internal and external stakeholders to improve operational processes, prioritizing customer needs. - Communicate complex technical analyses clearly to non-technical audiences, ensuring cross-functional teams can accurately understand, use, and represent the data. - Self-starter with the capacity to deliver on multiple initiatives, prioritize time and resources, and meet deadlines in a fast-paced startup environment. - Hands-on experience working with AI tools like Claude Code, GitHub Copilot, Cursor, or similar. - Advanced English proficiency (B2-C1). - Bonus: Passionate about the Subscription Economy – streaming and the rest – and have a deep understanding of key players in the digital subscription market. - Bonus: 2+ years of Python experience developing custom solutions related to automation, AI, exploratory analysis, or ETL design. Benefits - Work from anywhere during US business hours. - Competitive compensation, including participation in Antenna equity program. - Mentorship from experienced executives. - Opportunity to grow and impact a rapidly growing startup. - Travel to in-person team off-sites (visa-permitting).

Role Description We are looking for a #TechTalent to work as a Data Governance Specialist – Microsoft Purview & Sensitivity Labels for an international project in the logistics sector. - Designing and maintaining a Copilot‑ready classification taxonomy and implementing it in Microsoft Purview; - Configuring and optimizing Sensitivity Labels to control Copilot access and data extraction; - Building and maintaining auto‑labeling policies for existing and newly created data; - Defining and managing Data Loss Prevention policies to protect sensitive and regulated information; - Monitoring and documenting governance controls using Purview Audit Logs and eDiscovery; - Working closely with IT Security, Compliance, Legal, and business stakeholders. Qualifications - Bachelor’s degree in Information Management, Information Systems, Computer Science, or a related field; - 4+ years of experience in Data Governance; - Strong expertise in Microsoft Purview and Sensitivity Labels; - Solid understanding of the Microsoft 365 ecosystem and hands‑on DLP experience; - A Master’s degree in Information Governance, Data Protection, or IT Security is a plus; - Relevant professional certifications (e.g. Microsoft Purview, Information Protection, DLP) are beneficial and may substitute formal education; - Fluency in English. Benefits - Opportunity to lead major projects. - Recognition as a professional and as a person. - Work Life Balance and premium benefits. - Possibility to become a shareholder in the company. - Stability and job security. - Fair compensation.