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Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Automationunmatched
Automotive Industryunmatched
Best Practicesunmatched
Business Analysisunmatched
Cloud Computingunmatched
Cloud Storageunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Consumer Brandingunmatched
Cross-Functionalunmatched
Customer/Client Researchunmatched
Customer/Consumer Behaviorunmatched
Data Analysisunmatched
Data Entryunmatched
Data Modelingunmatched
Data Profilingunmatched
Data Scienceunmatched
Decision Supportunmatched
Health Planunmatched
Information Technology & Information Systemsunmatched
Information/Data Security (InfoSec)unmatched
Manufacturingunmatched
Metricsunmatched
Microsoft Windows Azureunmatched
Operational Supportunmatched
Performance Metricsunmatched
Power BIunmatched
Predictive Modelingunmatched
Presentation/Verbal Skillsunmatched
Privacy Controlsunmatched
Project/Program Managementunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Reporting Dashboardsunmatched
SQL (Structured Query Language)unmatched
Salesunmatched
Stewardshipunmatched
Strategic Planningunmatched
Supply Chainunmatched
Tableauunmatched
Team Playerunmatched
Test Toolsunmatched
Usability Engineeringunmatched
Description
Our client, a Automotive company, is looking for a Data Analytics Project Manager for their Plano, TX location.
Responsibilities:
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.
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.
Client 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 mission of creating mobility for all through the power of data
Data Democratization related activities to drive data drivel decision making culture at TMNA
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
Requirements:
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.
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