Metrics and Data Consultant

🔥 18 hours ago

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Logo of SAIC

SAIC

10,000+ employees

Founded 1969

☁️ SaaS

📣 Marketing

🏢 Enterprise

🔥 Funding within the last year

💰 $500M Post-IPO Debt - SAIC on 2025-09

SaaS • Marketing • Enterprise

SAIC is represented in the supplied content by marketing and product copy that matches Bitly — a cloud-based link management and QR-code platform. The material describes a SaaS offering for URL shortening, dynamic QR Codes, link analytics, mobile-friendly landing pages, branded links, UTM campaign tracking, digital business cards, developer APIs and AI-enhanced features. It targets marketers, developers, and enterprises across industries (retail, CPG, hospitality, media, healthcare, finance, education) and emphasizes integrations, analytics, and enterprise-grade capabilities. Note: the provided text appears to be Bitly’s website content rather than information about SAIC; if you intended the defense/technology firm SAIC (Science Applications International Corporation), please provide relevant content.

📋 Description

• Transform mountains of workforce data into clear, compelling narratives that shape real business decisions. • Partner directly with leaders to tackle challenges like retention, engagement, talent gaps, and more. • Use advanced analytics and predictive models to identify risks and opportunities in the workforce— and recommend solutions that make a measurable impact. • Dig deep into data to uncover patterns around attrition, hiring, development, talent management, and employee listening—surfacing insights others might miss. • Turn validated data into visual stories leaders want to read.

🎯 Requirements

• Bachelor’s degree in Statistics, Data Science, Business Analytics, HR, or similar field (Master’s preferred). • At least eight years of analytics or consulting experience, including five years in People Analytics. • Strong understanding of how organizations operate and how people drive business outcomes. • Able to build trust quickly and act as a strategic advisor to executives. • Comfortable interpreting statistical concepts such as regression, correlation vs. causation, and standard deviation. • Skilled in Power BI or Tableau, able to modify queries and create custom visualizations independently. • Strong knowledge of HCM systems like Oracle Cloud HCM, with an understanding of data structures behind the scenes. • Experience using SQL or advanced Excel tools to merge and interpret data from multiple sources. • Must be a U.S. citizen.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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