Senior Finance Analytics & Technology Analyst

Daimler Truck North America•Portland, OR

3d•Hybrid

About The Position

Individuals in 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 organizational capabilities. The role combines hands-on delivery of critical solutions with enabling Finance teams to apply analytics, automation, AI, and emerging technologies independently. The balance between execution and enablement may shift according to leadership priorities, business needs, and organizational maturity. Depending on priorities, the analyst may lead or deliver Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes, and strategic transformation initiatives. The analyst may also educate, coach, and train Finance employees; develop reusable methods and learning assets; support communities of practice; and help teams adopt new technologies and ways of working. The role connects Finance processes, data, systems, and business decisions. It translates Finance requirements into scalable technology-enabled solutions in partnership with Finance, Accounting, IT, data, and other organizations, while maintaining Finance ownership of business outcomes. The analyst serves as a trusted point of contact for Finance analytics, data, and technology-enabled solutions, including data provision, functional data integration, governance, process design, automation, and responsible AI use. The analyst explores emerging technologies and AI capabilities, conducts structured experimentation and proof-of-concepts, assesses their applicability to Finance use cases, and helps determine which capabilities should be scaled. The role communicates findings and recommendations, supports implementation and adoption, and helps ensure successful solutions and practices can be reused across Finance.

Requirements

Degree in Accounting, Finance, Business, Information Technology, Computer Science, Data/Analytics, or comparable educational attainment.
At least 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 the 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 Finance priorities change.
Learning agility, curiosity, and an experimentation mindset, with strong communication, facilitation, and change-enablement skills.
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, 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.

Responsibilities

Deliver or lead critical Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes, and strategic transformation initiatives as priorities require.
Enable Finance teams through education, coaching, training, reusable methods, learning assets, and support for 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 trusted contact for Finance analytics, data, and technology-enabled solutions, including data provision, integration, governance, process design, automation, and responsible AI use.
Explore emerging technologies and AI capabilities; conduct structured experimentation and proof-of-concepts; and assess applicability to Finance use cases.
Communicate findings, recommendations, and lessons learned; support implementation and adoption; and help scale reusable solutions and capabilities across Finance.
Help Finance teams adopt analytics, automation, AI, and new ways of working with increasing independence.

Benefits

Annual bonus program.
401(k) company contribution with company match up to 6%, plus a non-elective company contribution of 3–7% depending on age.
Starting at 4 weeks of paid vacation.
13+ calendar holidays.
8 weeks of paid parental leave.
Employee assistance program.
Comprehensive healthcare plans and wellness programs.
Onsite fitness at some locations.
Tuition assistance.
Volunteer paid time off.
Short-term and long-term disability plans.