Senior Data Engineering & Analytics Lead

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Job Overview

PM2CM, Inc. is a professional services company known for its dedication to effective Program and Project Management. The company is both a certified Small Business Enterprise (SBE) and Disadvantaged Business Enterprise (DBE). They offer a range of services, including Construction Management and Project Controls during the design and construction phases. The company is committed to providing high-quality, reliable services aimed at enabling clients to build with confidence.

Position Details

The job title is Senior Data Engineering & Analytics Lead, a full-time position that focuses on steering the data strategy for PM2CM. This remote role requires periodic in-person team meetings in Pomona, CA. The primary aim of this position is to build and manage scalable data infrastructure while providing actionable insights to support decision-making within the organization. This includes directing the design, development, and deployment of data engineering solutions and data pipeline architecture.

Key Responsibilities

Candidates will be responsible for a range of tasks, which include:

  • Leading the design and implementation of scalable data engineering solutions, particularly in ETL, data modeling, and managing large datasets.
  • Applying advanced analytical and statistical methods to build forecasting models, economic modeling, and conducting performance analysis to tackle complex business challenges.
  • Developing understandable dashboards and visual analytics using tools like Power BI, Excel, SAS, and others for stakeholders.
  • Translating analytical insights into detailed reports, metrics, and executive summaries that guide strategic operations.
  • Conducting thorough project data analysis to uncover trends, patterns, and opportunities for improving processes and reporting effectiveness.
  • Collaborating with both IT and business stakeholders for ensuring data quality, reliability, and governance.

Required Qualifications

To be eligible for the Senior Data Engineering & Analytics Lead position, candidates must possess:

  • A minimum of 7 years of experience in creating and managing complex data engineering solutions.
  • Expertise in Microsoft Office, particularly advanced features of Excel (including Power Query), SAS, and SAP.
  • Familiarity with Business Intelligence tools for data visualization and analytics.
  • A strong analytical foundation with problem-solving skills that can translate complex data into business value.

Preferred Qualifications

While not mandatory, the following qualifications are preferred:

  • A Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or an equivalent blend of education and experience.
  • Advanced proficiency in SQL for database management and queries.
  • A deep understanding of utility business operations.
  • Lean Six Sigma Black Belt or a comparable certification, which could enhance the candidate's profile.

Employee Benefits

PM2CM offers a robust benefits package which includes:

  • Remote work flexibility, allowing employees to balance personal and professional life.
  • Comprehensive health insurance, with costs fully covered by the employer.
  • 401K match and profit-sharing opportunities, which contribute to long-term financial security.
  • An engaging work environment where employees can lead significant enterprise data initiatives and shape strategic decisions for the company.

Final Thoughts

As companies increasingly rely on data-driven insights to make strategic decisions, the role of a Senior Data Engineering & Analytics Lead is key. This position not only offers the opportunity to work with advanced data technologies but also provides the chance to contribute to impactful projects within the construction management industry. Job seekers looking for a challenging yet rewarding role within a reputable organization should consider applying for this position at PM2CM.



This job offer was originally published on himalayas.app

PM2CM

United States

Data analysis

Full-time

February 10, 2026

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