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Project Manager – Data Analytics

Job in Warren, Macomb County, Michigan, 48091, USA
Listing for: Celero Digital
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 50 USD Hourly USD 50.00 HOUR
Job Description & How to Apply Below

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale data analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Engineering, Data Lakes, Data Pipelines, ETL/ELT processes, and modern cloud-based analytics platforms. This role requires excellent project management skills, the ability to work with cross-functional teams, and a proven track record of delivering successful data-driven projects.

Required Qualifications
  • 8+ years of overall IT experience with at least 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands‑on experience with Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake).
  • Experience with Data Pipelines, ETL/ELT Processes, Data Warehousing, and Data Integration.
  • Experience working with Azure, AWS, or Google Cloud Platform (GCP).
  • Experience using SQL and analytics/reporting tools such as Power BI, Tableau, or Looker.
  • Experience working in Agile/Scrum environments.
  • Strong communication, leadership, and stakeholder management skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of Data Governance, Data Quality, and Metadata Management.
  • PMP, Certified Scrum Master (CSM), or Agile certifications are preferred.
Key Responsibilities
  • Lead end-to-end delivery of Data Analytics and Data Engineering projects.
  • Collaborate with business stakeholders, architects, data engineers, and analytics teams.
  • Manage project scope, timelines, budgets, risks, and dependencies.
  • Oversee implementation of data lakes, data pipelines, and analytics solutions.
  • Drive Agile ceremonies and provide regular status updates to leadership.
  • Identify and mitigate project risks while ensuring timely delivery.
  • Ensure project delivery aligns with business objectives and quality standards.
  • Competitive pay of $50/hour on W2. No C2C, No third party.
  • Hybrid work environment.
  • Opportunity to work on enterprise-level projects.
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