Data Analytics Project Manager

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

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

• 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)

• 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

• 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.”