Ashburn, VA

Salary
Posted
Jul 6, 2026
Location
Ashburn, VA
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

This role centers on analyzing workforce pipelines, hiring data, and labor market trends to support program planning and forecasting. Day-to-day work involves building dashboards, producing executive-level reports, and tracking workforce metrics. It suits an experienced data or workforce analytics professional, with a preference for those who have worked in data center or infrastructure workforce planning contexts.

Senior level · 8+ years · National

Must have (4)
Power BI or TableauExcelSQLworkforce analytics

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
SQL78%Excel70%Power BI45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $90,896 (middle half $69,863–$128,761).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (7)

Employment type is not stated; left as Unspecified.

No compensation figures are provided.

The role is classified as 15-2031 (Operations Research Analysts) rather than 15-2051 (Data Scientists) because the primary work is reporting, dashboarding, KPI tracking, and labor market trend analysis — BI/analytics work — rather than modeling or statistical inference. 15-2051 is noted as a plausible runner-up.

Power BI and Tableau are listed together as interchangeable examples ('tools like Power BI, Tableau') in the required section; they are captured as a single skill with alternatives rather than two separate gates.

Workforce analytics and labor market analysis are retained as skills here because they describe a specific, domain-defined analytical discipline (workforce/labor data) rather than a generic methodology — they are the core subject-matter gates the JD explicitly calls out.

Data center or infrastructure workforce planning experience appears only under 'Preferred' and is marked accordingly.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): labor market analysis, data center workforce planning.

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