Data Analyst Jobs

About The Position

Requirements

• Bachelor’s degree in a quantitative, analytical, or related field, or equivalent practical experience.
• Approximately 2–4 years of professional experience in data analytics, business analytics, or a related analytical role.
• Strong SQL proficiency, including independently writing complex queries using joins, common table expressions (CTEs), window functions, and other advanced SQL techniques.
• Experience building and maintaining dashboards, reporting models, and analytical solutions using tools such as Sigma, Tableau, Power BI, Looker, or similar platforms.
• Strong analytical and problem-solving skills, including interpreting business requirements, investigating data, and translating findings into practical recommendations.
• Experience partnering directly with business stakeholders to gather requirements, manage reporting requests, and communicate analytical findings.
• Proficiency with Excel, Google Sheets, or similar spreadsheet tools for data analysis and reporting.
• Strong organizational skills and ability to prioritize competing requests, manage multiple deliverables, and maintain accuracy in a fast-paced environment.
• Clear written and verbal communication skills, including the ability to explain analytical findings to technical and non-technical audiences.

Nice To Haves

• Experience using Python for data manipulation, reporting automation, or workflow improvements.
• Exposure to statistical analysis, data science libraries, or machine learning concepts.

Responsibilities

• Partner with stakeholders across Sales, Account Management, Carrier Sales, and other business teams to understand reporting needs, investigate challenges, and translate business questions into actionable analysis.
• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Build, maintain, and improve reporting models, dashboards, and analytical tools that provide visibility into business performance and operational workflows.
• Own and prioritize incoming analytics requests, balancing immediate business needs with accuracy, efficiency, and longer-term analytical priorities.
• Translate business processes and requirements into structured reporting logic to help teams categorize information, monitor performance, and improve workflows.
• Present findings and recommendations clearly to technical and non-technical stakeholders.
• Collaborate with analysts, engineers, and cross-functional partners to improve reporting consistency, data quality, and analytical processes.
• Identify opportunities to streamline recurring reports, automate manual workflows, and make data more accessible and useful.

Benefits

• Equity package for full-time employees.
• Competitive benefits supporting employees and their families.
• Hybrid work model with scheduled in-office and work-from-home days.
• 401(k).
• Medical, dental, and vision coverage for employees and dependents, with HMO and PPO options.