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Technical Data Analyst

  • Full Time, onsite
  • Kforce Technology Staffing
  • On Site, United States of America
Salary undisclosed

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RESPONSIBILITIES:
Kforce's client, a Detroit MI-based automotive manufacturer who brings engineering, technology, and design together to create innovative vehicles, energy solutions, and in-vehicle services, is seeking a Technical Data Analyst.

Responsibilities:
* The Technical Data Analyst will work as an integral member within the Global Strategy & Operations Team, with a focus on innovation and analytics providing a key data science component to support the development and execution of global strategy, research, innovation, and operations projects
* Provide strong connection and support to strategy and operations managers by developing analytical solutions to address and improve KPI's and business results
* Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation, and visualization techniques to further enhance insight and internal performance optimization
* Perform in-depth analysis and design search patterns
* Develop automation tools for data mining and reduction
* Mentor junior researchers and data scientists to enhance their analytical skills
* Foster a collaborative learning environment within the research and strategy team
* Continuously update knowledge on the latest software and hardware innovations and ideate on how to apply
* Identify and implement cutting-edge solutions to meet research and strategy objectives
* Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT
* The Technical Data Analyst will review research and strategy project requirements and apply appropriate statistical techniques to data
* Drive the acquisition of new data and refine existing datasets
* Ensure data quality and relevance for ongoing research and strategy projects

REQUIREMENTS:
* Master's degree in STEM field required
* Ph.D in STEM field preferred
* 8+ years of experience using data to solve problems, hypothesis testing, and create visualizations and storytelling to address business problems
* 8+ years of experience in data architecture and data base management
* 8+ years of professional development experience
* Solid experience with Big Data technologies in Data Bricks platform using Python/R

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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