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

Position offers a starting salary range of $95,000 - $121,000 USD 

Pay offered dependent on knowledge, skills, and experience  

 

Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as 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 and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.  

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 undi