Data Analyst

We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities.

Responsibilities:

• Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes.
• Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance.
• Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms.
• Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders.
• Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning.
• Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions.
• Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts.
• Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues.
• Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Business Analytics, Engineering, or a related discipline.
• At least 5 years of experience in data analytics, business intelligence, or a similar analytical role.
• 2 to 4 years of hands-on experience applying predictive modeling, statistical analysis, machine learning, or related data science methods.
• Advanced SQL skills with the ability to query large relational databases and work across complex data structures.
• Strong Python experience for data analysis, automation, statistical evaluation, and model development.
• Experience working with large-scale enterprise data from multiple structured sources.
• Familiarity with experimental design, A/B testing, and other advanced analytical techniques.
• Strong communication skills with the ability to present actionable insights to both technical and non-technical audiences.