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PIM-Sr Analyst-Databricks & Reporting

Job in Suffolk, Virginia, 23432, USA
Listing for: Bechtel Global Corporation
Part Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 123400 - 203700 USD Yearly USD 123400.00 203700.00 YEAR
Job Description & How to Apply Below
  • Relocation Authorized:
    National - Family
  • Telework Type:

    Part-Time Telework
  • Work Location:

    Reston, VA
  • Salary Range: $123,400 - $203,700 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.)
Project Overview

Bechtel and Westinghouse Electric Company are in a joint consortium to deliver the first AP1000 nuclear power reactors in Poland for our customer, the Polish Entity Polskie Elektrownie Jadrowe (PEJ). Bechtel will be the Engineering, Procurement, and Construction (EPC) contractor for the project and have the responsibility to deliver a successful project to our client.

This is a one-of-a-kind opportunity, and we are looking for the talent that will help expand Poland's nuclear base and build a strong and long-lasting energy future for generations to come.

Job Summary

The Poland AP1000 Project is one of the largest and most ambitious infrastructure projects in Europe, bringing together world-class expertise, advanced technologies, and complex project delivery on a truly transformative scale. At the heart of this effort is a data-driven execution model where trusted information enables better decisions, improves efficiency, reduces risk, and drives project success. Central to this strategy is the Project's Common Data Environment (CDE), serving as the single source of truth for project information.

We are seeking a Sr. Analyst, Databricks and Reporting to join a dynamic and progressive Project Information Management team. This role offers a unique opportunity to shape how data is transformed into actionable insights across every aspect of project delivery. Working closely with leaders and subject matter experts across Safety, Quality, Engineering, Supply Chain, Construction, Project Controls, and Commissioning & Startup, you will help deliver the reporting, analytics, and data solutions that support one of the world's most significant nuclear construction projects.

This is an opportunity to build enterprise-scale analytics capabilities, influence project outcomes through data-driven decision making, and gain broad exposure to the full lifecycle of a mega project. You'll work alongside experienced professionals in a collaborative environment that encourages innovation, continuous learning, and professional growth.

If you're ready to make a measurable difference and thrive in an environment where data is a catalyst for progress, the Poland AP1000 Project is where your next adventure begins. If you bring vision, enthusiasm for driving analytics and actionable insights through story-telling and excited by the opportunity to leave a lasting impact on a landmark project, we want to hear from you.

Location:

This position is based out of the Bechtel offices in Reston, Virginia

Major Responsibilities
  • Extensive experience designing, deploying, and supporting enterprise analytics, reporting, and business intelligence environments that align with project execution objectives.
  • Advanced experience with Databricks augmented with experience in Azure Data Lake, Azure Data Factory, or similar cloud-based analytics and data platforms.
  • Experience leading data engineering initiatives and developing scalable data pipelines, integrations, and enterprise reporting platforms.
  • Strong hands‑on experience with Power BI, SQL, Python, Spark, Databricks notebooks, data modeling, ETL/ELT development, and large‑scale data processing.
  • Experience in the design, development and deployment of a Common Data Environment.
  • Experience working with Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or advanced analytics tools to improve reporting, data analysis, automation, forecasting, or knowledge management functions.
  • Demonstrated…
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