Engineering Data Analytics Specialist

HTC Global Services, Inc.

Dearborn, Northern (MI, KY)

Hybrid

USD 85,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Group Health (Medical, Dental, Vision)
Paid Time Off
Paid Holidays
401(k) matching
Group Life and Disability insurance
Professional Development opportunities
Wellness programs

Job summary

HTC Global Services is seeking an Engineering Data Analytics Specialist to transform large engineering and cost datasets into executive-level Power BI dashboards and BI tools. You will develop standardized KPI reporting and automate reporting processes to support cross-functional teams and program milestones.

The role requires 3+ years in data analytics, strong Excel and Power BI skills, and experience with data modeling, cleansing, and validation.

Qualifications

  • Bachelor's degree in Engineering, Data Analytics, Information Systems, Computer Science, Industrial Engineering, or a related technical field.
  • 3+ years of experience in data analysis, reporting, or engineering analytics.
  • Experience supporting engineering, manufacturing, automotive, or product development organizations.
  • Experience creating executive-level reports and dashboards.
  • Experience developing reporting metrics and analytics tools.
  • Experience supporting cross-functional teams and project activities.
  • Required Power BI experience.
  • Advanced Microsoft Excel skills.
  • Experience with data analysis, data mining, dashboard development, KPI reporting, trend analysis, data modeling, data cleansing, and data validation.
  • Experience with data visualization, quantitative analysis, reporting automation, and data integrity management.
  • Strong communication and organizational skills.
  • Ability to track multiple projects and cost-saving initiatives simultaneously.

Responsibilities

  • Analyze engineering and cost-related datasets.
  • Perform data mining and trend analysis.
  • Develop and maintain Power BI dashboards.
  • Create executive-level visualizations and reports.
  • Automate reporting processes.
  • Track cost-saving initiatives and project milestones.
  • Support engineering review meetings and status reporting.
  • Improve reporting methodologies and data visibility.
  • Develop standardized metrics and KPI reporting systems.
  • Maintain data integrity and validate data accuracy.
  • Support cross-functional teams and project activities.
  • Track workplans, milestones, action items, and project activities.
  • Develop data visualization and business intelligence solutions.
  • Provide quantitative analysis and business insights.
  • Support reporting automation and improve reporting efficiency.

Skills

Power BI
Excel
Data analysis
Dashboard development
Data visualization
Data mining
KPI reporting
Data modeling
Data cleansing
Data validation
Cross-functional collaboration
Reporting automation

Education

Bachelor's degree in Engineering, Data Analytics, Information Systems, Computer Science, Industrial Engineering

Tools

SQL
Power Query
DAX
SharePoint
Power Automate

Job description

Location: Dearborn (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T2 | Work Preference: Hybrid | Job Code: 245094

Job Description:
Overview / Summary

The Engineering Data Analytics Specialist supports engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support. This role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data.

The position requires strong Power BI expertise, advanced analytical skills, and the ability to transform large datasets into executive-level reporting and business intelligence tools. The individual will work closely with engineering, manufacturing, product development, and program teams to monitor cost-saving initiatives, track implementation progress, and improve reporting efficiency.

Key Responsibilities
  • Analyze engineering and cost-related datasets.
  • Perform data mining and trend analysis.
  • Develop and maintain Power BI dashboards.
  • Create executive-level visualizations and reports.
  • Automate reporting processes.
  • Track cost-saving initiatives and project milestones.
  • Support engineering review meetings and status reporting.
  • Improve reporting methodologies and data visibility.
  • Develop standardized metrics and KPI reporting systems.
  • Maintain data integrity and validate data accuracy.
  • Support cross-functional teams and project activities.
  • Track workplans, milestones, action items, and project activities.
  • Develop data visualization and business intelligence solutions.
  • Provide quantitative analysis and business insights.
  • Support reporting automation and improve reporting efficiency.
Required Qualifications
  • Bachelor's degree in Engineering, Data Analytics, Information Systems, Computer Science, Industrial Engineering, or a related technical field.
  • 3+ years of experience in data analysis, reporting, or engineering analytics.
  • Experience supporting engineering, manufacturing, automotive, or product development organizations.
  • Experience creating executive-level reports and dashboards.
  • Experience developing reporting metrics and analytics tools.
  • Experience supporting cross-functional teams and project activities.
  • Required Power BI experience.
  • Advanced Microsoft Excel skills.
  • Experience with data analysis, data mining, dashboard development, KPI reporting, trend analysis, data modeling, data cleansing, and data validation.
  • Experience with data visualization, quantitative analysis, reporting automation, and data integrity management.
  • Strong communication and organizational skills.
  • Ability to track multiple projects and cost-saving initiatives simultaneously.
Preferred Qualifications
  • Automotive industry experience.
  • Experience supporting cost-reduction programs.
  • Experience with advanced Power BI development.
  • Experience with SQL, Power Query, and DAX.
  • Experience with SharePoint and Power Automate.
  • Experience supporting Technical Value Management initiatives.
  • Experience with workflow automation tools.
  • Experience utilizing AI-driven reporting and analytics solutions.
  • Experience with AI-based reporting tools or AI analytics platforms.
  • Master's degree in Data Analytics, Engineering, Information Systems, Business Analytics, or a related field.
Work Arrangement
  • Hybrid

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

  • Group Health (Medical, Dental, and Vision)
  • Paid Time Off
  • Paid Holidays
  • 401(k) matching
  • Group Life and Disability insurance
  • Professional Development opportunities
  • Wellness programs
  • a variety of other perks

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

  • Hybrid and Workplace flexibility
  • Work-Life-Balance
  • Well-defined career development plan
  • Rewards & Recognition program
  • L&D focuses on upskilling
  • Hands-on experience on Emerging Technologies and Digital Transformation
  • Career Mobility programs
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