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Senior Finance Analytics & Technology Analyst

Job in Portland, Multnomah County, Oregon, 97204, USA
Listing for: Daimler Trucks North America LLC
Full Time position
Listed on 2026-10-24
Job specializations:
  • Finance & Banking
    AI Business & Operations
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 117000 - 150000 USD Yearly USD 117000.00 150000.00 YEAR
Job Description & How to Apply Below
Tasks 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; 401kcompany contribution with company match up to 6% as well as non-elective company contribution of3 - 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-termand 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…
Position Requirements
10+ Years work experience
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