Data Analyst

Young Living Essential OilsLehi, UT
Onsite

About The Position

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops executive-ready reports and dashboards, and plays a key role in interpreting key performance indicators (KPIs) to influence business outcomes.

Requirements

  • Proficiency in Excel and intermediate SQL.
  • Strong critical thinking and problem-solving skills.
  • Experience with business intelligence tools and dashboards.
  • Strong presentation and storytelling abilities.
  • Knowledge of sales and marketing metrics and their influence on business outcomes.
  • Experience with agentic AI tools
  • 3–5 years of experience in business analytics or a related quantitative role.
  • A combination of education and experience may meet this requirement.
  • Applicants must be currently authorized to work in the United States on a full-time basis.

Nice To Haves

  • Bachelor’s degree in Business, Statistics, Computer Science, Information Technology, Engineering, Accounting, or related field.

Responsibilities

  • Analyze structured and unstructured data using Excel and SQL to support decisions across marketing, sales, and operations.
  • Create presentations, graphics, and reports summarizing key insights.
  • Understand and apply knowledge of company metrics, sales drivers, and KPIs.
  • Provide analysis supporting campaigns, events, and initiatives.
  • Execute analytic projects to support company growth and retention strategies.
  • Support data quality efforts by flagging inconsistencies and helping document known issues.
  • Conduct moderately complex analyses such as correlation, trend forecasting, and variance analysis to inform strategy.
  • Design, build, and maintain recurring dashboards or self-service tools using BI platforms.
  • Extract, transform, validate, and analyze data from multiple systems to ensure consistency and usability.
  • Present findings to upper management using well-structured reports and visuals.
  • Provide actionable insights related to company KPIs, trends, and initiatives.
  • Collaborate across departments to support strategic data needs.
  • Develop tools to facilitate business users’ own analysis through AI tools
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