Business Data Analyst

Riken Elastomers•Hopkinsville, KY
•Hybrid

About The Position

The Business Data Analyst will transform raw business data into insights that help teams understand performance, optimize processes, and make informed decisions. They work across departments such as marketing, finance, operations.

Requirements

  • Bachelor’s degree in data analytics, statistics, computer science, business, or a related field.
  • 1–3 years of experience in data analysis or a quantitative role
  • Intermediate computer proficiency.
  • Detail oriented and organizational skills required.
  • Strong focus on follow-up and attention to detail
  • Demonstrated ability to identify and solve problems.
  • Ability to work well with others in a group, follow instructions, and work well under pressure and under time constraints.
  • Employee must be able to relate to other people beyond giving and receiving instructions: (a). Can get along with co-workers or peers without exhibiting behavioral extremes. (b). Perform work activities requiring negotiating, instructing, persuading or speaking with others.

Nice To Haves

  • Certifications in Tableau, Power BI, or analytics tools are beneficial.
  • Bilingual preferred.
  • Excellent communication skills, both oral and written, with ability to effectively communicate with all levels of the organization and provide excellent customer service.

Responsibilities

  • Comply with all environmental, health, safety, and quality standards.
  • Gather data from databases, spreadsheets, and business systems; clean and prepare datasets by fixing missing values and inconsistencies.
  • Use statistical and analytical techniques to identify trends, patterns, and anomalies in business data.
  • Build dashboards and reports using Tableau, Power BI, or Looker to track KPIs and communicate insights.
  • Translate findings into actionable recommendations for stakeholders and leadership.
  • Work with product, marketing, finance, and operations teams to define data needs and support decision-making.
  • Conduct one-off deep dives to answer specific business questions.
  • Validate data accuracy and resolve discrepancies.
  • Other projects and tasks assigned.
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