Metrics and Data Consultant

SAIC has an opening for a Metrics and Data Consultant to join our People Analytics Team. This position can be worked remotely, within the U.S., for the right candidate. 

The Metrics and Data Consultant is the ultimate data storyteller—part analyst, part strategist, part detective. If you enjoy uncovering the hidden truths behind workforce trends and turning them into insights leaders can’t ignore, this role is for you. 

As a Metrics and Data Consultant, you will transform mountains of workforce data into clear, compelling narratives that shape real business decisions. You'll partner directly with leaders to tackle challenges like retention, engagement, talent gaps, and more—armed with data, curiosity, and just the right amount of storytelling flair. 

This role combines deep technical skill with strong business intuition. You'll validate complex datasets, refine insights, and ensure that every recommendation is accurate, ethical, and strategically sound. 

Key Responsibilities: 

• Strategic Consulting: Work side‑by‑side with business leaders to turn big questions into testable hypotheses, sparking ‘aha’ moments along the way. 

• Data Modeling: Use advanced analytics and predictive models to identify risks and opportunities in the workforce—and recommend solutions that make a measurable impact. 

• Data Analysis: Dig deep into data to uncover patterns around attrition, hiring, development, talent management, and employee listening—surfacing insights others might miss. 

• Narrative Development: Turn validated data into visual stories leaders want to read. You won’t just explain the ‘what’—you’ll illuminate the ‘why’ and ‘what now.

• Functional Liaison: Translate business needs into technical requirements so People Analytics builds the right tools at the right time. 

• Driving Data Culture: Champion easy‑to‑use, self‑service metrics that empower leaders to explore and understand their own data. 

• Data Validation & Auditing: Serve as the final checkpoint to ensure dashboards and reports are accurate, consistent, and logical across systems. 

• AI Oversight: Monitor predictive AI outputs—like flight risk or performance models—to ensure insights are unbiased and grounded in reality. 

• Data Governance: Advocate for ethical data use and protect employee privacy while still delivering meaningful insights.