Operations Data Analyics Lead

Inside the Role

Analyze and develop data-driven solutions in collaboration with the Manufacturing Engineering and Production Data teams, focusing on standardization, delivery, and quality.
This position reports to the Corporate Manufacturing Engineering CODA Manager and works closely with corporate and plant data analytics teams to drive standardization across all DTNA Operations on data-related projects.
Combines a good level of understanding on how business operates with analytical ability to sift effectively through data available, overlaying all this with the technical competency to illustrate this analysis to senior level stakeholders and the wider business. Models advanced methods of combining charts, maps, timelines and infographics into comprehensible dashboards; may create visualizations of complex relationships and big data sets in a user-friendly and easy-to-understand way to facilitate business decision making.

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

What You Drive at DTNA:

• Analyze, develop, and implement data solutions using approved DTNA data analytics tools (Power BI, Tableau) in alignment with corporate manufacturing standards.

• Develop and implement SQL database projects.

• Design and implement ETL solutions based on DTNA standards.

• Gather technical requirements for data-related projects and ensure proper documentation following corporate manufacturing standards.

• Serve as a communication bridge between corporate manufacturing and plants for all data-related projects to share knowledge and avoid duplicate efforts.

• Document procedures and best practices for sharing across DTNA.

• Collaborate with Operations and Corporate Manufacturing Management to prioritize data-related projects.

• Work with local data teams to develop continuous improvement projects aimed at enhancing plants and corporate collaboration.

Knowledge You Should Bring:

• Bachelor's Degree in Computer Science, Statistics, or Information Systems or related field ​and 5-7 years of relevant experience

• Strong communication skills with the ability to explain complex technical issues to both technical and non-technical audiences

• Experience with Power BI and Tableau

• Expert level SQL development skills

• Experience with Alteryx and Azure Data Factory

• Experience with Azure Data Explorer and Non-relational databases

Exceptional Candidates Might Have:

• Master's degree preferred

• Experience with statistical Programming languages (e.g. Python)

• Comprehensive Understanding of vehicle production operations

• Experience with TensorFlow and other ML tools

#LI-JN1 #LI-Hybrid

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 complete a criminal background check
• Final candidate may be required to successfully complete a pre-employment drug screen
• Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions
• EEO - Disabled/Veterans

Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.