Infrastructure Data & Analytics Analyst

SZ PM Consultants, Inc.; Washington (District of Columbia); On-site; USD 85,000 - 120,000; Full time

Job summary

SZ PM Consultants, Inc. is seeking a Data / Business Analyst to support long-range access development in Washington, DC. The role emphasizes data analytics, process improvement, and performance reporting to inform decision‑making and optimize infrastructure program outcomes.

The ideal candidate is highly organized, analytical, and adept at presenting insights to stakeholders. This full‑time position is based in Washington, DC with responsibilities spanning scheduling, analyses, and reporting

Qualifications

• Bachelor’s degree in a related field is required.
• Minimum 3 years of experience in business process improvement, data analysis, and project reporting.
• Experience with process mapping, risk analysis, and developing data tools preferred.

Responsibilities

• Support long-range scheduling, access planning, and performance reporting.
• Develop dashboards and presentations for leadership and stakeholders.
• Collect and organize datasets from surveys, workshops, and interviews.
• Document processes, data requirements, risks, and gaps for improvements.
• Communicate findings clearly and help drive decision-making.

Skills

Excel

Power BI

Data analysis

Written communication

Presentation skills

Education

Bachelor's degree in Business Administration, Management, Information Technology, or related field

Tools

Microsoft Office 365 (Excel, Word, PowerPoint, Outlook)

Power BI

Dashboard development

Job description

SZ PM Consultants, Inc. is seeking a Data / Business Analyst to support long-range access development in Washington, DC. The role emphasizes data analytics, process improvement, and performance reporting to inform decision‑making and optimize infrastructure program outcomes.

The ideal candidate is highly organized, analytical, and adept at presenting insights to stakeholders. This full‑time position is based in Washington, DC with responsibilities spanning scheduling, analyses, and reporting