Data Analyst

About Agero:

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.

Role Description and Mission:

The Data Analyst plays a critical role in driving data-centric initiatives within the organization, transforming raw data into valuable insights that inform key business strategies. This role involves analyzing complex datasets to uncover trends and patterns, providing actionable insights that help shape business decisions. The Data Analyst works closely with cross-functional teams, including Product and Engineering, to ensure data insights are effectively translated into strategies that improve operational efficiency and foster business growth.

Key Outcomes:

• Product Analytics & Experimentation: Optimize decision-making processes across product lifecycle stages. Conduct rigorous A/B testing and experimentation to evaluate product features, user experiences, and pricing strategies. Analyze results to provide actionable insights that inform iterative improvements and drive conversion optimization. Additional focus areas include analyzing product performance metrics, customer segmentation strategies, and market trends to drive informed product development and enhancement strategies.
• Performance Monitoring: Design and maintain real-time dashboards that monitor key performance indicators (KPIs), conducting in-depth performance analyses to identify trends, anomalies, and areas for improvement. Provide recommendations to support both operational efficiency and strategic initiatives.
• Insight Generation: Leverage quantitative analysis and data storytelling to uncover actionable insights that drive business growth. By deeply understanding marketplace dynamics, customer behaviors, and emerging trends, you will empower business and product leaders to make data-driven decisions. Translate complex data into clear, compelling narratives that inspire innovation and continuous improvement.
• Cross-Functional Collaboration: Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects.

Skills, Education and Experience:

Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field.

Experience: 2-4 years of experience in data analytics, business analytics, consulting, or related roles. Experience with cloud data platforms such as GBQ, Snowflake, or Redshift. Previous experience in a technical role at a top-tier professional services or leading technology company is preferred.

Role Based Competencies (Knowledge, Skills & Abilities): 

• Technical Skills: Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI). Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts.
• Communication: Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Problem-Solving: Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions.
• Project Management: Demonstrated ability in project and