Sales Operations Analyst

The Sales Operations Analyst will play a key role in optimizing sales performance, strengthening customer relationships, and driving sustainable revenue growth through data-driven insights. This position offers the opportunity to transform complex operational and customer data into actionable intelligence that supports sales strategy, account management, and customer success. Working closely with Customer Operations, Account Management, Customer Success, and IT teams, you will develop dashboards, automate reporting, and identify opportunities to improve retention and expand customer value. You will also contribute to the adoption of AI-powered analytics and predictive modeling to enhance business decision-making. In a fast-evolving, technology-enabled services environment, your work will directly influence operational efficiency and commercial outcomes. This role is ideal for an analytical, customer-focused professional who combines technical expertise with strong business acumen.

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

• Business Intelligence Tools: Strong proficiency in Power BI, preferably, or Tableau, with demonstrated experience developing dashboards and reports that communicate clear business narratives and drive actionable decisions.

• Industry Experience: Background in logistics, supply chain, distribution, or e-commerce fulfillment. Experience with spare parts logistics and service supply chain operations is particularly desirable.

• Data Integration Expertise: Experience working with enterprise resource planning (ERP) and warehouse management system (WMS) data sources, including the ability to connect information across multiple systems and maintain reliable reporting structures.

• Analytical and Technical Skills: Working knowledge of Python or a comparable programming language for data analysis, including pandas and basic statistical methods. Ability to analyze trends, develop customer performance metrics, and translate complex datasets into practical recommendations.

• CRM Knowledge: Familiarity with CRM data structures and platforms such as HubSpot, Salesforce, or Pipedrive.

• Commercial and Business Acumen: Ability to understand sales and customer success objectives, interpret account performance, identify retention risks, and uncover opportunities for revenue growth and customer expansion.

• AI and Automation: Interest in applying AI tools, predictive analytics, and automation to improve business intelligence capabilities, streamline reporting, and make insights more accessible to customer-facing teams.

• Communication and Collaboration: Excellent written and verbal communication skills, with the ability to explain analytical findings to technical and non-technical stakeholders and collaborate effectively across Sales, Customer Success, Operations, and IT.

• Customer-Centric Mindset: A strong understanding of customer needs and the ability to develop insights that improve customer experience, retention, and long-term business relationships.

• Problem-Solving and Ownership: Strong critical thinking, attention to detail, and organizational skills, with the ability to work independently, manage priorities, and continuously improve analytical processes.

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