Data Analyst

UKG•,

2d•$66,000 - $94,100

About The Position

UKG is seeking a detail-oriented Data Analyst to turn business questions and operational data into clear, reliable analysis. The analyst will partner with business stakeholders and experienced analytics colleagues to gather requirements, prepare and validate data, maintain reporting solutions, and explain findings that support day-to-day decisions and process improvement.

Requirements

At least 2 years of experience in data analysis, business intelligence, reporting, or a related field.
Working proficiency and practical experience with large data sets, KPIs, dashboards, and analytical tools such as SQL, Power Query, BI, Excel, or comparable tools.
Demonstrated experience using AI-enabled analytics tools for data exploration, analysis, or automation, with the ability to validate outputs and apply them responsibly.
Understanding of data quality, data modeling, reporting definitions, and common data preparation concepts.
Ability to investigate data questions, validate results, and document assumptions and methods.
Business curiosity and ability to connect analysis to operational questions and user needs.
Clear written and verbal communication skills, including the ability to explain findings to business audiences.
Ability to organize assigned work, manage priorities, and collaborate across teams in a changing environment.
Experience partnering with senior leaders and translating analytical findings into clear, credible recommendations.

Nice To Haves

Experience with Professional Services, Customer Success, Support Services, and/or Managed Services at a SaaS or technology-based company.
Demonstrated experience developing and presenting information in executive presentations.

Responsibilities

Work with business partners and senior analysts to clarify reporting and analysis needs, document requirements, and define measures.
Build, update, and maintain Power BI reports and dashboards that clearly present key performance indicators and business metrics.
Analyze data to identify trends, exceptions, and potential drivers, and summarize findings and practical implications for business partners.
Prepare, reconcile, and validate data from approved sources; investigate discrepancies and raise source-system or data-quality issues with appropriate partners.
Use SQL, Power Query, DAX, AI, and other industry-standard tools to retrieve, transform, and analyze data, following established standards and guidance for more complex work.
Maintain clear documentation for data sources, business definitions, calculations, reports, and recurring processes.
Partner with IT, data engineering, and analytics teams to resolve data issues and support dependable data flows.
Present results clearly and concisely to technical and non-technical audiences, and respond to questions about reports and analysis.