Senior Finance Analytics, Technology Analyst

Daimler Truck North America

. Improve Finance decision-making and transform Finance processes using data, technology and artificial intelligence .

Posted 10/20/2026full-timePortland • Oregon • United StatesSenior💰 $117,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Finance analytics, automation, and AI-enabled solutions, with a strong ability to translate business requirements into scalable technology solutions. Proficient in data quality, reporting, and analytical solutions while fostering collaboration and change enablement across Finance teams.

Highest-signal resume keywords

Finance AnalyticsData Warehouse PrinciplesDigital And AI FluencySAP ExperiencePower BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data QualityReporting SolutionsConceptual Data ModelingSQLPythonAutomationGenerative AIAnalytical SolutionsProcess RedesignPrototyping

Soft Skills

Strong CommunicationFacilitation SkillsChange EnablementProblem-SolvingCoaching

Tools & Technologies

Power BITableauAlteryxMicrosoft Power PlatformSnowflakeSAPAI-Enabled Workflow Solutions

Industry Keywords

Finance ProcessesBusiness OutcomesCross-Functional CollaborationEmerging TechnologiesFinance Transformation

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Improve Finance decision-making and transform Finance processes using data, technology and artificial intelligence
Deliver critical Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes and strategic transformation initiatives
Enable Finance teams through education, coaching, training and reusable methods and learning assets
Support communities of practice and help analysts adopt new technologies and ways of working
Translate Finance requirements into scalable technology-enabled solutions
Work closely with Finance, Accounting, IT, data and other partner organizations while maintaining Finance ownership of business outcomes
Serve as a trusted point of contact for analytics, data and technology-enabled Finance solutions
Explore emerging technologies and AI capabilities through structured experimentation and proof-of-concepts
Assess technology applicability to Finance use cases and determine which capabilities should be scaled
Communicate findings, recommendations and lessons learned
Support implementation and adoption and ensure successful solutions can be reused and scaled across Finance

Requirements

What you’ll need

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
Integrative, cross-functional and cross-departmental problem-solving approach
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
Digital and AI fluency, including analytics, automation, generative AI and emerging technologies
Ability to learn quickly, prototype where appropriate, validate outputs and collaborate with technical specialists
Ability to shift between hands-on execution, solution ownership, consulting, coaching and organizational enablement
Strong communication, facilitation and change-enablement skills
Attached resume required
Applicants must be legally authorized to work permanently in the United States at the time of application
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
Exceptional candidates might have 5–7+ years of relevant professional experience
Experience with SAP, Microsoft, Snowflake or comparable Finance, planning, data and analytics platforms
Experience with Power BI, Tableau, Alteryx, Microsoft Power Platform, SQL, Python or similar tools
Practical exposure to generative AI, copilots, agents or AI-enabled workflow solutions

Benefits

Comp & perks

Annual bonus program
401k company contribution with company match up to 6%
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