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Workhuman

Global SaaS for employee recognition

Senior Data Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Strong SQL skills and experience working with large or complex datasets.
  • Strong data modelling experience, including dbt or a comparable transformation framework.
  • Understanding of modern data architecture concepts, including medallion architecture, data quality and stewardship.
  • Experience with cloud-based data warehouse technologies such as Amazon Redshift, Snowflake or similar platforms.
  • Experience developing reports and dashboards using Amazon QuickSight, Power BI, Tableau or comparable business intelligence tools.
  • Strong understanding of query optimisation, scalability and performance.
  • Experience using Git and modern development practices for version control and peer review.
  • Experience validating analytical outputs through reconciliation, structured testing and investigation of discrepancies.
  • Ability to understand business problems, challenge requirements constructively and translate them into appropriate analytical solutions.
  • Strong communication and stakeholder management skills across technical and non-technical audiences.
  • Demonstrated curiosity and hands-on use of generative AI, professionally or independently, to analyse data, write or review code, automate workflows or improve analytical productivity.

Responsibilities

  • Build well-designed datasets, reports, dashboards and analytical solutions that are reliable, performant, consistent with architectural guidelines and easy to use.
  • Work closely with business stakeholders, Business Analysis, Business Analytics, Data Platform and Architecture teams to translate business needs into analytical solutions.
  • Own solution design and delivery, shaping how Finance and Operations use data.
  • Simplify existing reporting, automate manual analysis and reconciliation, improve measures and key performance indicators, and identify opportunities to deliver more actionable insights.
  • Use AI-assisted tools in day-to-day analytical work, including SQL development, data investigation, testing, documentation and workflow automation.

Desired Qualifications

  • Experience working with Finance or Back Office data, ERP systems, AWS technologies, Python or R would be beneficial.

About the Company

Workhuman

Global SaaS for employee recognition

Workhuman helps organizations create human-centric workplaces by enabling employee recognition, engagement, and performance insights through a secure SaaS platform. Its Workhuman Cloud connects millions of users across 180 countries and 30+ languages, delivering ongoing recognition, feedback, and connections, while Workhuman IQ offers proactive business insights to address issues early. The platform’s global reach, emphasis on inclusion and belonging, and ability to measure ROI set it apart from competitors. The goal is to transform workplaces into more engaged and appreciative environments that improve performance and business outcomes.

Company size
501-1,000
Company stage
Series B
Total funding
$15M
Headquarters
Framingham, MA
Founded
1999

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