Senior Finance Analytics & Technology Analyst
About The Position
Finance Analytics (FA) works at the intersection of Finance expertise, data, technology, and artificial intelligence to improve decision-making, transform Finance processes, and build scalable capabilities across the organization. Professionals in this role combine hands-on delivery of critical solutions with enablement of Finance teams, shifting emphasis between execution and enablement according to leadership priorities, business needs, and organizational maturity. The role may directly lead or deliver Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes, and strategic transformation initiatives. It may also educate, coach, and train Finance employees; develop reusable methods and learning assets; support communities of practice; and help analysts and teams adopt technologies and new ways of working independently. The analyst connects Finance processes, data, systems, and business decisions, translating Finance requirements into scalable, technology-enabled solutions. Working closely with Finance, Accounting, IT, data, and other partners, the role maintains Finance ownership of business outcomes and serves as a trusted point of contact for data provision, functional data integration, governance, process design, automation, and responsible AI use. The role also explores emerging technologies, conducts structured experiments and proofs of concept, evaluates Finance use cases, and helps determine which capabilities should be scaled. The analyst communicates findings and recommendations, supports implementation and adoption, and enables successful solutions and practices to be reused across Finance. This hybrid position is based in Portland, Oregon, with four days per week in the office and one day remote. Relocation assistance is not available. The position is not open to visa sponsorship or existing visa holders; applicants must be legally authorized to work permanently in the country of employment. Final candidates must successfully complete a criminal background check and may be required to complete a pre-employment drug screen.
Requirements
- Degree in Accounting, Finance, Business, Information Technology, Computer Science, Data/Analytics, or comparable educational attainment.
- Minimum of 4 years of relevant experience in Finance, analytics, transformation, technology, or a comparable field.
- Deep Finance business knowledge and/or demonstrated experience working closely with Finance and Controlling organizations.
- Strong understanding of Finance or business processes and an integrative, cross-functional, cross-departmental approach to problem solving.
- Ability to connect business needs, data, technology, and organizational implications.
- Experience with data and analytics concepts, including data warehouse principles, conceptual data modeling, data quality, reporting, and analytical solutions.
- Ability to understand how data is transformed into information and decision support.
- Digital and AI fluency, including ability to evaluate and apply analytics, automation, generative AI, and emerging technologies to Finance processes.
- Ability to learn quickly, prototype where appropriate, validate outputs, and collaborate effectively with technical specialists.
- Ability to shift between hands-on execution, solution ownership, consulting, coaching, and organizational enablement as priorities change.
- Learning agility, curiosity, and an experimentation mindset.
- Strong communication, facilitation, and change-enablement skills to help Finance teams adopt new capabilities and ways of working.
- An attached resume is required.
Nice To Haves
- 5–7+ years of relevant professional experience, with demonstrated experience leading or playing a key role in cross-functional Finance analytics, transformation, technology-enabled, or comparable initiatives.
- Experience with SAP, Microsoft, Snowflake, or comparable Finance, planning, data, and analytics platforms.
- Experience analyzing Finance processes and systems, identifying improvement opportunities, translating business requirements into solution concepts, and supporting implementation of complex analytics, automation, or AI-enabled solutions.
- Experience with modern analytics and automation technologies such as Power BI, Tableau, Alteryx, Microsoft Power Platform, SQL, Python, or similar tools.
- Practical exposure to generative AI, copilots, agents, or AI-enabled workflow solutions.
- Demonstrated ability to coach, train, and enable others; communicate complex concepts in practical business language; build reusable methods and standards; and influence adoption across teams without relying solely on direct execution.
- Experience leveraging AI tools and technologies to improve productivity, efficiency, or business outcomes.
Responsibilities
- Deliver or lead Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes, and strategic transformation initiatives.
- Educate, coach, and train Finance employees and help teams adopt analytics, automation, AI, emerging technologies, and new ways of working.
- Develop reusable methods and learning assets and support communities of practice.
- Translate Finance requirements into scalable technology-enabled solutions in collaboration with Finance, Accounting, IT, data, and other partner organizations.
- Serve as a point of contact for Finance analytics and technology-enabled solutions, including data provision, functional data integration, governance, process design, automation, and responsible AI use.
- Explore emerging technologies and AI capabilities, conduct structured experimentation and proofs of concept, and assess applicability to Finance use cases.
- Communicate findings, recommendations, and lessons learned; support implementation and adoption; and help scale successful solutions and practices across Finance.
- Adapt the balance between hands-on execution, solution ownership, consulting, coaching, and organizational enablement as Finance priorities change.
Benefits
- Annual bonus program
- 401(k) company contribution with company match up to 6%, plus non-elective company contribution of 3–7% depending on age
- Starting at 4 weeks paid vacation
- 13+ calendar holidays
- 8 weeks paid parental leave
- Employee assistance program
- Comprehensive healthcare plans
- Wellness programs
- Onsite fitness at some locations
- Tuition assistance
- Volunteer paid time off
- Short-term and long-term disability plans
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What This Job Offers
Job Type
Full-time
Career Level
Senior
