Data Analytics Project Manager

Primary Location: Plano, Texas (Hybrid)

About the role

V-Soft Consulting is currently hiring for a Data Analytics Project Manager for our premier client in Plano, Texas.

Responsibilities

• Drive Data Democratization initiatives to foster a data-driven decision-making culture.
• Develop and maintain interactive dashboards and reports using Power BI, Tableau, and PowerApps.
• Create data workflows and automation with Alteryx, KNIME, or similar tools.
• Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decisions.
• 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

• Bachelor’s degree in Data Science, Information Systems, Business Analytics, Computer Science, or related field OR equivalent work experience.
• 10+ years of total experience.
• 7–8 years of experience in data wrangling, profiling, and testing tools.
• 7–8 years of experience with Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME.
• 5–6 years of experience in Cloud platforms: AWS and/or Azure.
• Proficiency in complex SQL and Excel.
• 7–8 years of experience researching new data sources and building 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.

Preferred Qualifications

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

Benefits

• Full benefits (Medical, Dental, Vision).
• 401(k) plan.
• Competitive compensation.