Role Description We are seeking a Senior Business Intelligence Analyst for our Finance Digital Transformation Team. You are to be a GenAI, ML, and Agentic AI enabler, driving AI innovation across Finance. You will be key to Finance’s AI transformation into their next Agentic AI level. You will own data-driven projects all the way from base source data to the final business usage. You will work with people in Finance, BI and Engineering functions to create your solutions. You are able to deliver quickly and efficiently, and go deep into the details when necessary. You work well in a team of fellow analysts and others, and also autonomous, taking ownership of and pride in the projects you are responsible for. You have shown extreme curiosity in AI and have demonstrated meaningful changes using AI. - Own end-to-end AI and analytics solutions for Finance: from problem framing and data discovery through prototyping, deployment, and maintenance. - Design and implement agentic workflows that orchestrate multiple tools (Glean/Gemini, Snowflake Cortex, n8n, Streamlit/Posit, etc.) to automate complex Finance processes. - Prototype, test, and iterate AI solutions quickly, using experimentation and user feedback to validate value, accuracy, and usability before scaling. - Collaborate closely with BI, Data, and Engineering teams to align on architecture, security, data standards, and integration patterns for Finance AI solutions. - Continuously scan for new AI capabilities (agent frameworks, LLM tools, automation platforms) and run POCs/Pilots to assess applicability to Finance use cases. - Drive project management and partner communication, including setting timelines, managing risks and dependencies, and providing clear status updates. - Promote a culture of experimentation and learning within Finance, sharing successes, failures, and learnings across the wider team. Qualifications - Requires a Master’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 3 years of related experience; or a PhD without experience. - Python, SQL, Snowflake, AWS, or similar, statistical analysis, data science. Agentic Glean/Gemini, n8n, Snowflake Cortex, Streamlit and Posit, Claude code and Cursor. - Ability to translate ambiguous business processes into structured analytical problems, propose pragmatic technical solutions, and communicate trade-offs clearly to non-technical partners. - Experience working with cross-functional teams (e.g., Finance, Data/Engineering) and managing multiple projects or business partners simultaneously. - Keen focus on data quality, documentation, and governance, ensuring that outputs are reliable, auditable, and easy for others to understand and extend. - Demonstrated curiosity about AI, Agentic and Intelligent Automation, and willingness to learn and apply new AI tools to enhance Finance processes. Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. - Tier 1 – United States of America: 90,000 - 136,000 USD per year - Tier 2 – United States of America: 102,000 - 152,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. 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We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making. Reference ID Reference ID: <47190> The deadline to apply to this position is 7/15/2026. Job postings may be extended at the hiring team’s discretion based on applicant volume.