Talantix.io
Remote Position•28.01.26
AI SCORE 8.5

Mid-Senior Workforce Analyst - Remote Position

$96K–$169K/year
RemoteResearch & DevelopmentWWRelocation
SQL•Python•R•MicroStrategy•Power BI•Tableau•Data Analysis•AI/ML

About the Role

Join us as a Mid-Senior Workforce Analyst in a fully remote capacity, where you will play a pivotal role in shaping data governance and analytics within the HR domain. Your expertise will contribute to the advancement of science and technology at Lawrence Livermore National Laboratory (LLNL), impacting national security and global stability.

What You'll Do

  • Lead the development of enterprise workforce analytics and dashboards, focusing on attrition, internal mobility, and retirement risk.
  • Identify emerging workforce trends and provide data-driven insights to HR and leadership.
  • Build and validate advanced statistical and AI/ML models to anticipate workforce trends.
  • Write robust SQL queries to source and validate datasets from Oracle/LAPIS.
  • Design user-friendly dashboards in BI tools such as MicroStrategy, Power BI, and Tableau.
  • Serve as a Subject Matter Expert (SME) on HR data structures and maintain the metric catalog.
  • Translate complex analyses into concise narratives for laboratory leadership.
  • Mentor analysts on modeling, visualization, and data storytelling.

Requirements

  • Bachelor’s degree in Business, Finance, Mathematics, Economics, or a related quantitative field.
  • Significant experience in building advanced workforce analytics or BI solutions.
  • Advanced SQL knowledge for data extraction and validation.
  • Proficiency with BI tools for dashboard design.
  • Hands-on experience with statistical methods using Python, R, or Alteryx.
  • Strong documentation discipline and attention to data quality.
  • Ability to lead projects independently and influence non-technical audiences.

Nice to Have

  • Master's degree in a relevant field.
  • Experience with survey analytics linking sentiment to workforce outcomes.
  • Operational experience with AI/ML in analytics products.
  • Familiarity with HR systems and DOE/NNSA reporting contexts.

What We Offer

  • Flexible Benefits Package including 401(k) and Education Reimbursement Program.
  • Relocation assistance for eligible candidates.
  • Flexible work schedules depending on project needs.
  • Opportunity to work in a recognized top workplace.
  • Collaborative and innovative work environment.
Why This Job8.5 of 10

This remote role offers a unique opportunity to lead workforce analytics at a prestigious research laboratory, with competitive salary and benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in SQL and data visualization tools like Power BI and Tableau, with a strong ability to translate complex datasets into actionable insights for workforce analytics.

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Self-motivated and disciplined remote worker, capable of managing time effectively to meet project deadlines while collaborating with cross-functional teams through virtual platforms.

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Experience with AI/ML concepts and tools, demonstrating a mindset focused on continuous learning and adapting to emerging technologies to enhance data-driven decision-making.

Learning Resources

→SQL for Data Sciencecourse
→Introduction to Python for Data Sciencecourse
→Data Visualization with Tableaucourse

Career Path

Mid-Senior Workforce Analyst(Now)→Senior Workforce Analyst or Data Scientist(2-4 years)→Lead Data Analyst or Analytics Manager(4-6 years)

Market Overview

SQL Market Size 2024
$11.5B
Annual Growth
10.2%
AI Adoption in Data Analytics
65%
Investment in Data Analytics Tools
+45%
Labour Demand for Data Analysts
+30%
Avg Salary for Workforce Analysts
$85K

Skills & Requirements

Required
SQLPythonR
Growing in Demand
Data VisualizationMachine LearningCloud Data Warehousing
Declining
Crystal ReportsExcel Macros

Domain Trends

Rise of No-Code/Low-Code Platforms
By 2025, 70% of new applications developed by enterprises will use no-code or low-code technologies, enabling faster data manipulation and analysis.
Increased Demand for AI-Driven Insights
Organizations are investing heavily in AI, with 65% of firms planning to implement AI-driven analytics in 2024, leading to a surge in demand for workforce analysts skilled in AI/ML.
Shift to Cloud-Based Data Solutions
By 2025, 80% of data analytics workloads will be processed in the cloud, creating a significant demand for analysts proficient in cloud-based SQL databases.

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