Data Analytics Project Manager

Reporting to the Senior Manager – Data Analytics within the Enterprise Data organization, you will work closely with cross-functional teams and uncover trends, develop transformation logic, and craft compelling data stories that make raw data meaningful and actionable. Client’s Data and Analytics solutions (DAS) department is seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team.

 

Qualifications/ What you bring:

• Bachelor’s degree in data science, Information Systems, Business Analytics, Computer Science, or related field OR equivalent work experience. In total 10+ Years of experience. 
• 7-8 years of experience in data wrangling, profiling, testing tools.
• 7-8 years of experience in some of these technologies:
• Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
• 5-6 years of experience in Cloud platforms: AWS and/or Azure
• Proficient in complex SQL and Excel
• 7-8 years of experience in researching new data sources and build insightful dashboards.
• Understanding of data security, privacy, and cloud-based storage
• Strong communication and presentation skills, able to translate technical data into business insights
• Curiosity, adaptability, and eagerness to learn in a collaborative environment

 
Added bonus if you have (Preferred):

• Experience in Data Democratization projects
• Data Analysis/Analytics certifications.
• Experience in the automotive industry.
• AWS or Azure Data certifications.
• Exposure to Python or R

 
RM Notes:

• The project duration is till March 2027. It is a Data Analytics project Manager role and HM is looking for some with 10+ years of experience.
• Looking for someone who has good understanding of data, how to handle data, work with stakeholders.
• Looking for someone who has good Data Democratization understanding.
• Looking for a senior person. – Supervisory level
• Created Dashboard, dealing with project Funds.
• 7-8 years of experience in data wrangling, profiling, testing tools.
• 7-8 years of experience in some of these technologies:
• Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
• 5-6 years of experience in Cloud platforms: AWS and/or Azure
• Proficient in complex SQL and Excel
• 7-8 years of experience in researching new data sources and build insightful dashboards.
• Understanding of data security, privacy, and cloud-based storage.
• Onsite role - Hybrid (3-4 days in a week)

 
Job description:
Who we are:

• Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Client. As one of the world’s most admired brands, Client is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
• What we’re looking for
• Client’s Data and Analytics solutions (DAS) department is seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team. If you're passionate about turning data into insights and enabling smarter decisions in a fast-paced automotive environment, this is the opportunity for you. In this role, you’ll be instrumental in building and maintaining data models, pipelines, and reporting structures that empower insight-driven decision-making across the enterprise.
• Reporting to the Senior Manager – Data Analytics within the Enterprise Data organization, you will work closely with cross-functional teams and uncover trends, develop transformation logic, and craft compelling data stories that make raw data meaningful and actionable. You will have the opportunity to work on cutting-edge automotive innovation and digital transformation projects. This is a unique opportunity to contribute to Client’s mission of creating mobility for all through the power of data

 
What you’ll be doing

• Data Democratization related activities to drive data drivel decision making culture at Client
• Develop and maintaining interactive dashboards and reports using Power BI, Tableau, and PowerApps
• Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools
• Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision-making
• Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams
• Prepare data for predictive and prescriptive modeling to support strategic initiatives
• Clean, validate, and transform raw data into analytics-ready formats
• Perform data profiling and recommend quality rules to enhance trust and usability
• Ensure consistency in data processes and champion best practices in data analytics
• Document processes and contribute to data stewardship and governance initiatives

 

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”