Client Insights Analyst

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. 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.  

Responsibilities:

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.


• Design and develop data-driven presentations for client meetings, reviews, and proposals.


• Ensure presentations are clear, data-focused, and aligned with client objectives.

Client Services & Communication:

• Serve as the main point of contact for top-tier clients, utilizing data storytelling to engage and retain clients.


• Anticipate future data needs and offer proactive, relevant data-driven solutions.


• Regularly engage with clients to assess data needs, address concerns, and provide data-driven support.


• Facilitate communication and collaboration between cross-department teams.


• Research and stay up to date on industry, customer, and category trends.


• Assist in gaining ongoing meetings with key customers for our clients.
  

Skills and Qualifications:

• 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.


• Proficiency in data analysis and visualization tools (Excel, Tableau, Power BI, etc.).


• Proactive, results-driven approach with continuous learning mindset.

Educational Qualifications:

• Bachelor’s degree in business, marketing, data science, or a related field.


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