Client Services 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 relationships 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. #J-18808-Ljbffr