PIM-Sr Analyst-Databricks & Reporting

Bechtel Corporation•Reston, VA

24d•$123,400 - $203,700•Hybrid

About The Position

Bechtel is seeking a Sr. Analyst, Databricks and Reporting for its Project Information Management team supporting the Poland AP1000 Project, a joint consortium project with Westinghouse Electric Company to deliver nuclear power reactors in Poland. Based in Bechtel’s Reston, Virginia offices, this role helps shape enterprise-scale analytics and reporting that support project execution. The Project’s Common Data Environment serves as the single source of truth for project information. The analyst works with leaders and subject matter experts across Safety, Quality, Engineering, Supply Chain, Construction, Project Controls, and Commissioning & Startup to deliver data, reporting, and analytics solutions. The role involves developing scalable data pipelines, integrations, enterprise reporting platforms, and actionable insights that inform project decisions. The successful candidate provides technical leadership, communicates complex findings to diverse audiences, and manages competing priorities across initiatives.

Requirements

Bachelor’s degree from an accredited university and at least 8 years of professional experience for Level 1, or a high school diploma or equivalent and at least 12 years of professional experience in lieu of a degree.
For Level 2, a bachelor’s degree from an accredited university and at least 10 years of professional experience, or a high school diploma or equivalent and at least 14 years of professional experience in lieu of a degree.
At least 3 years of experience extracting data from business and technical systems and presenting information for timely decision-making.
At least 2 years of hands-on Databricks experience in data management, analytics, data transformation, and reporting solutions, including knowledge of medallion architecture.
At least 2 years of experience using AI, machine learning, generative AI, or advanced analytical tools to enhance reporting, automate workflows, improve data quality, or support business decisions.
At least 3 years of experience leading and engaging with business stakeholders to conduct analytics, quantify needs, design and deploy reports, and assist with interpreting results.
Knowledge and experience with Power BI, DAX, and MS PowerApps.
Demonstrable ability to query databases and business or technical systems to generate information reports, with high proficiency in SQL.
Excellent verbal and written communication skills, including the ability to present information and analysis to senior management.
Ability to work and adapt to changing work schedules.
U.S. citizenship or U.S. permanent residence status.
Ability to pass nuclear security screening and obtain and maintain unescorted access to a nuclear power facility.
Ability to pass a pre-employment drug screen and background check, including verification of employment, education, and travel.
Strong problem-solving skills, self-motivation, leadership, and ability to influence without authority.

Nice To Haves

Databricks Data Engineer, Azure Data Engineer, Power BI, Azure AI, or similar professional certifications.
Hands-on experience with generative AI, Microsoft Copilot, Retrieval Augmented Generation (RAG), AI-assisted search, knowledge management, or predictive analytics solutions.
Experience implementing advanced analytics, forecasting models, anomaly detection, trend analysis, or intelligent automation in large project environments.
Experience supporting Common Data Environments, Project Information Models, Digital Twins, and enterprise project reporting ecosystems.
Experience with Azure Data Lake, Azure Data Factory, or similar cloud-based analytics and data platforms.
Knowledge of DAX, data warehousing principles, master data management, and data governance practices.
Understanding of EPC project execution processes and engineering, procurement, construction, project controls, quality, safety, and commercial data ecosystems.

Responsibilities

Design, deploy, and support enterprise analytics, reporting, and business intelligence environments aligned with project execution objectives.
Lead data engineering initiatives and develop scalable data pipelines, integrations, and enterprise reporting platforms.
Develop data transformations, models, reports, and analytics using Databricks, Power BI, SQL, Python, Spark, and related tools.
Design, develop, and deploy a Common Data Environment.
Apply AI, machine learning, generative AI, or advanced analytics to improve reporting, analysis, automation, forecasting, or knowledge management.
Engage leaders and subject matter experts to develop analytics strategies and translate technical findings into practical business insights.
Develop and visualize KPIs, trends, forecasts, and operational intelligence.
Extract data from business and technical systems, create information suitable for timely decision-making, and support interpretation of results.
Present information and analysis to senior management and communicate complex technical concepts to technical and non-technical stakeholders.
Provide strategic direction and technical leadership across multiple initiatives while managing competing priorities.