Remote Data Analytics Project Manager

Ex

New York (NY)

On-site

USD 170,000 - 175,000

Full time

9 days ago
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Benefits offered by this job

Telecommuting permitted

Job summary

Ex in New York, NY is seeking a seasoned Data Engineering and Analytics Lead to direct projects across insurance clients from design through delivery. You will work with large datasets, build pipelines, craft reporting frameworks, and drive cloud deployments on AWS/SAS/Snowflake, while coordinating a team of analysts and engineers.

You will lead client engagements, translate business needs into technical solutions, and ensure timely delivery across multiple sites in the United States.

Qualifications

  • Bachelor’s degree in Computer Science, Advanced Analytics, or a directly related field.
  • Seven years of project management experience.
  • Seven years of experience in: client management, project management, SQL, data engineering, SAS, Power BI or Tableau.

Responsibilities

  • Lead the project from design to delivery of data-driven solutions for insurance clients.
  • Build data pipelines and data models; create dashboards with Power BI or Tableau.
  • Deploy solutions on cloud platforms (SAS, Snowflake, AWS) ensuring scalability and performance.
  • Engage stakeholders, gather requirements, and present findings.
  • Manage analysts/engineers and oversee workstreams to ensure timely delivery.

Skills

Client management
Project management
SQL
Data engineering
Analytics

Education

Bachelor’s degree in Computer Science/Advanced Analytics

Tools

Power BI
Tableau
SAS
Snowflake
AWS

Job description

Ex in New York, NY is seeking a seasoned Data Engineering and Analytics Lead to direct projects across insurance clients from design through delivery. You will work with large datasets, build pipelines, craft reporting frameworks, and drive cloud deployments on AWS/SAS/Snowflake, while coordinating a team of analysts and engineers.

You will lead client engagements, translate business needs into technical solutions, and ensure timely delivery across multiple sites in the United States.

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