Data Analyst

Location: US Remote

Reports To: VP, Execution and Delivery

Salary Range: $80,000-$95,000

Position Summary:

As a Data Analyst, your goal is to unlock insights that drive the business—supporting strategic decision-making and performance management. This role is responsible for analyzing customer behavior, marketplace dynamics, and operational performance to provide visibility and optimize key business initiatives for one of our top customers.

This role partners closely with our Execution & Delivery Team with a focus on analyzing customer forecasts to assist with our support and staffing strategy.

Key Responsibilities:

• Develop, maintain, and enhance analytics frameworks to monitor customer retention, market share and revenue growth and market expansion initiatives
• Provide analytics and insights into customer forecast and impact to operational performance and business prioritization
• Leverage AI tools and modern analytics workflows to improve efficiency, insight generation, and decision support across day-to-day operations
• Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and snowflake to deliver timely performance insights
• Communicate clear, actionable insights and recommendations to the E&D Leadership Team

Expectations:

• Foster a Positive Work Environment: Promote a culture of respect and employee engagement.
• Professionalism: Demonstrate high integrity, discretion, and confidentiality when handling workplace information.
• Communication: Foster clear, respectful, and proactive communication with peers, management, and external partners to build positive relationships.
• Teamwork: Utilize team concepts to collaborate with cross functional and leadership teams to streamline and drive operational success.

Qualifications:

• 2+ years of relevant analytical experience working with large datasets and delivering insights
• Bachelor’s or master’s degree in Analytics or related field is preferred
• Experience in commercial domain preferred.
• Hands-on experience incorporating AI tools (e.g., generative AI, automation, or advanced analytics workflows) into day-to-day analytical work
• Demonstrated ability to influence stakeholders through data-driven insights and clear communication
• Strong attention to detail and commitment to data accuracy.
• Strong business acumen, critical thinking, and problem-solving skills
• Experience with visualization tools such as Tableau