Senior Finance Analytics & Technology Analyst

Inside the Role

Individuals within Finance Analytics (FA) work 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. FA professionals combine hands-on delivery of critical solutions with enablement of Finance teams, flexibly shifting emphasis between execution and enablement based on leadership priorities, business needs and organizational maturity.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Position offers a starting salary range of $117,000 – $150,000 USD

Pay offered dependent on knowledge, skills, and experience.

Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as 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 and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.

What You Drive at DTNA

• •Finance Analytics professionals operate across a continuum of direct execution and organizational enablement. Depending on Finance leadership priorities, they may place greater emphasis on delivering critical projects and solutions or on enabling Finance teams to independently apply analytics, automation, AI and emerging technologies. Both dimensions remain part of the role.
• •In an execution-oriented model, FA professionals may directly lead or deliver critical Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes and strategic transformation initiatives requiring specialized expertise and hands-on ownership.
• •In an enablement-oriented model, FA professionals act as capability multipliers by educating, coaching and training Finance employees, developing reusable methods and learning assets, supporting communities of practice, and helping analysts and teams adopt new technologies and ways of working with increasing independence.
• •FA professionals understand how Finance processes, data, systems and business decisions are connected. They translate Finance requirements into scalable technology-enabled solutions, working closely with Finance, Accounting, IT, data and other partner organizations while maintaining clear Finance ownership of business outcomes.
• •The FA professional serves as a trusted point of contact for analytics, data and technology-enabled Finance solutions, including questions related to data provision, functional data integration, governance, process design, automation and responsible use of AI.
• •FA professionals continuously explore emerging technologies and AI capabilities, conduct structured experimentation and proof-of-concepts, assess applicability to Finance use cases, and help determine which capabilities should be scaled more broadly across the Finance organization. In this sense, FA also serves as an internal Finance R&D and incubation function.
• •FA professionals communicate relevant findings, recommendations and lessons learned; support implementation and adoption; and ensure that successful solutions, practices and capabilities can be reused and scaled across Finance rather than remaining dependent on the FA team.

Knowledge You Should Bring

• •Degree in Accounting, Finance, Business, Information Technology, Computer Science, Data/Analytics or comparable educational attainment, plus a 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 combined with an integrative, cross-functional and 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 the ability to evaluate and apply analytics, automation, generative AI and emerging technologies to Finance processes. The role does not require mastery of every technology, but requires the ability to learn quickly, prototype where appropriate, validate outputs, and collaborate effectively with technical specialists.
• •Operating model adaptability: ability to shift effectively between hands-on execution, solution ownership, consulting, coaching and organizational enablement based on changing Finance priorities.
• •Learning agility, curiosity and experimentation mindset, with strong communication, facilitation and change-enablement skills to help Finance teams adopt new capabilities and ways of working.
• •An attached resume is required

Exceptional Candidates Might Have

• •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, together with 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

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Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)-

Portland, OR US. Relocation assistance is not available for this position.

Schedule Type:

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

• •This position is not open for Visa sponsorship or to existing Visa holders
• •Applicants must be legally authorized to work permanently in the country the position is located in at the time of application
• •Final candidate must successfully comple