Customer Analytics Specialist

The Customer Analytics Specialist will play a key role in transforming customer data into actionable insights that improve retention, drive revenue growth, and strengthen customer success. This role offers the opportunity to build and own analytics solutions that help identify at-risk accounts, uncover expansion opportunities, and maximize customer lifetime value. Working closely with Customer Success, Account Management, Operations, and executive leadership, you will develop automated dashboards, predictive models, and AI-powered analytics tools. You will help modernize data-driven decision-making within a growing organization transitioning toward technology-enabled services. The position combines business intelligence, advanced analytics, and process automation to deliver measurable commercial impact. It is ideal for an experienced analytics professional who enjoys solving complex business problems and turning data into meaningful action.

• Professional Experience: At least 8 years of experience as a Business Intelligence Analyst, Data Analyst, Customer Analytics Specialist, or in a comparable analytics-focused role.

• Business Intelligence Expertise: Strong proficiency in Power BI, preferably, or Tableau, with a proven ability to build dashboards and reports that communicate meaningful insights and drive concrete business actions rather than simply displaying data.

• Industry Knowledge: Experience in logistics, supply chain, distribution, or e-commerce fulfillment is required for a strong fit. Familiarity with service supply chain operations and spare parts logistics is particularly valuable, with spare parts experience strongly preferred.

• Data Integration and Systems: Experience connecting to and analyzing data from enterprise resource planning (ERP) systems and warehouse management systems (WMS). Familiarity with CRM data structures and platforms such as HubSpot, Salesforce, or Pipedrive is also important.

• Analytical and Technical Skills: Working knowledge of Python or a comparable programming language for data analysis, including experience with pandas and basic statistical methods. Ability to develop predictive models, evaluate customer health indicators, identify trends, and translate complex datasets into practical recommendations.

• Business Acumen: Ability to understand commercial objectives, translate business questions into clear data requirements, and develop analytical solutions that support customer retention, revenue expansion, and operational efficiency.

• AI and Automation Mindset: Interest in applying AI tools and advanced analytics to improve reporting, automate repetitive work, and make insights more accessible. Ability to validate AI-generated results and maintain high standards of data integrity.

• Communication and Collaboration: Strong written and verbal communication skills, with the ability to explain analytical findings clearly to technical and non-technical stakeholders, including customer-facing teams and senior executives.

• Customer-Centric Approach: A proactive, customer-focused mindset and the ability to collaborate with Account Managers and Customer Success Managers to ensure that analytics address real customer needs and support measurable outcomes.

• Ownership and Adaptability: Strong problem-solving skills, attention to detail, and the ability to work independently, manage competing priorities, and continuously improve analytics processes in a changing business environment.

• Work Authorization: Must have the current and continuing right to work in the United States without restrictions or expiration.