Lead 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 Lead Data Analyst plays a pivotal role in leading data-driven initiatives within the organization, bridging the gap between raw data and strategic insights. This position operates with a high level of autonomy, responsible for dissecting complex datasets to uncover trends, patterns, and actionable insights that inform critical business decisions. Collaborating closely with internal stakeholders across various departments, this person ensures that data insights are translated into tangible strategies that enhance operational efficiency and drive business growth.

Key Outcomes:

• Product Analytics & Experimentation: Lead the development of robust analytics and data science solutions to 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.
• Advanced Analytics: Utilize advanced statistical and machine learning techniques to develop analytical models that deepen understanding of customer behavior patterns, enhance operational efficiencies, and uncover insights into market dynamics. Collaborate closely with senior leadership to translate findings into actionable strategies and initiatives.
• Cross-Functional Collaboration: Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects. Serve as a key advisor and subject matter expert on data analytics methodologies and best practices, ensuring alignment of analytical efforts with organizational goals and objectives.

Skills, Education, & Experience:

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

Experience: 8+ years of experience in data analytics, business analytics, consulting, or related roles.

Technical Skills:

• Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI).
• Experience with cloud data platforms such as GBQ, Snowflake, or Redshift.
• Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts.
• Familiarity with machine learning algorithms, natural language processing (NLP), and advanced analytics techniques.

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 task management, attention to detail, and the ability to work independently, as well as part of a team.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Knowledge of data engineering processes, including ETL (Extract, Transform, Load).
• Familiarity with cloud platforms such as AWS or Azure.
• Previous experience in a technical role at a top-tier professional services or leading technology company.

Hiring In:

• United States: AZ, FL, NC, IL, KY, MA, MI, NM, TN, GA, and VA

• Canada: Province of Ontario

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