What are the responsibilities and job description for the Client Insights Analyst position at RecorGroup?
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.
