Data Analyst

WorkhumanFramingham, MA
$92,000 - $130,000

About The Position

Join the Business Analytics team at Workhuman, where we sit at the core of the organization, driving strategy and decision-decision-making through data. As a Data Analyst, you will help shape the next generation of analytics at Workhuman—moving beyond manual data requests and traditional reporting toward intelligent, self-service, and conversational experiences for our internal stakeholders and customers. You will start by becoming an expert in how we deliver customer data today, using that knowledge to automate manual workflows and turn recurring needs into scalable capabilities. From there, you will help build data models, data products, and AI-assisted experiences that fundamentally change how people discover, explore, and act on data. The ideal candidate is intellectually curious, data-driven, technical, and business oriented. They will dive deep into our customer data, build production-grade analytical solutions, and actively experiment with emerging technologies. We are looking for someone excited not just to make analytics faster, but to rethink how analytics is experienced.

Requirements

  • Proficiency in querying, analyzing, and visualizing large datasets using SQL and data visualization tools.
  • Experience building production-grade data models.
  • Strong analytical problem-solving skills and business intuition.
  • Demonstrated curiosity and hands-on use of generative AI, professionally or independently, to analyze data, write code, automate workflows, or build new capabilities.
  • Strong communication and project management skills and a highly collaborative approach to problem-solving.

Nice To Haves

  • Experience with dbt is a plus.
  • Exposure to AI coding tools, AI-assisted analytics, conversational analytics, or similar emerging technologies is a plus.

Responsibilities

  • Automate manual workflows and turn recurring needs into scalable capabilities.
  • Build data models, data products, and AI-assisted experiences.
  • Dive deep into customer data, build production-grade analytical solutions, and actively experiment with emerging technologies.
  • Rethink how analytics is experienced.

Benefits

  • Bonus or other variable compensation based on job performance.
  • Standard benefits package which supports employee well-being and work-life balance.
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