recorgroup

recorgroup

Client Insights Analyst

Eagle, Idaho

Sponsorship not specifiedDetected 20 days ago
Data AnalysisData ScienceData VisualizationExcelResearchCommunicationCollaborationProblem SolvingPublic Speaking

About the role

  • Data Storytelling & Presentation: Transform complex data into compelling client narratives.
  • Craft client-specific data stories aligned with unique needs and objectives.
  • Communicate insights through strategic storytelling techniques.

Responsibilities

  • Design and develop data-driven presentations for client meetings, reviews, and proposals.
  • Regularly engage with clients to assess data needs, address concerns, and provide data-driven support.
  • The Client Insights Analyst holds a pivotal role in ensuring exceptional support and a seamless experience for our clients.
  • The Analyst focuses on building and maintaining strong client relationship and driving continuous improvement in service delivery, with a specialization in data storytelling and data mining.

Requirements

  • Proficiency in data analysis and visualization tools (Excel, Tableau, Power BI, etc.).
  • Bachelor's degree in business, marketing, data science, or a related field.
  • Strong analytical and problem-solving abilities.
  • Creativity and innovation in data storytelling and presentations.
  • Excellence in communication and presentation delivery.
  • Deep understanding of client service principles.
  • Proactive, results-driven approach with continuous learning mindset.

Nice to have

  • Certification in data visualization or related areas is a plus.

Benefits

  • Educational Qualifications:

Company info

  • Assist in gaining ongoing meetings with key customers for our clients.
  • RecorGroup' Intelligence team is on a mission to create simple solutions for our client's complex problems.
  • We are seeking a person who wants to service CPGs into growth with the use of data insights and data storytelling.

This listing is sourced directly from recorgroup's careers page and normalized into a canonical job model.