Senior Finance Analytics – Technology Analyst

Daimler Truck North America

. Improve decision-making, transform Finance processes and build scalable capabilities across the organization .

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 needs into scalable technology solutions. Proven experience in coaching and enabling Finance teams while fostering a culture of continuous learning and experimentation.

Highest-signal resume keywords

Finance AnalyticsAI-Enabled SolutionsData Warehouse PrinciplesSAP ExperiencePower BI

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Finance ProcessesData QualityConceptual Data ModelingSQLPythonAutomationReporting SolutionsGenerative AIAnalytical SolutionsPrototyping

Soft Skills

Strong CommunicationFacilitation SkillsChange-EnablementLearning AgilityCuriosity

Tools & Technologies

Microsoft Power PlatformTableauAlteryxSnowflakeMicrosoft

Industry Keywords

FinanceBusiness ProcessesTransformationData SolutionsEmerging Technologies

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Improve decision-making, transform Finance processes and build scalable capabilities across the organization
Deliver critical Finance analytics, automation, AI-enabled workflows, process redesign, data solutions, prototypes and strategic transformation initiatives
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
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
Conduct structured experimentation and proof-of-concepts
Assess technology applicability to Finance use cases and determine capabilities for broader scaling
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 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
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
Learning agility, curiosity and experimentation mindset
Strong communication, facilitation and change-enablement skills
Attached resume required
Exceptional candidates might have 5–7+ years of relevant professional experience
Experience with SAP, Microsoft, Snowflake or comparable platforms
Experience analyzing Finance processes and systems and supporting implementation of complex analytics, automation or AI-enabled solutions
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
Ability to coach, train and enable others and build reusable methods and standards
Experience leveraging AI tools and technologies to improve productivity, efficiency or business outcomes
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

Benefits

Comp & perks

Annual bonus program
401(k) 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