Fast Facts

The data analyst will support FP&A operations by managing reporting datasets, developing SaaS reports using Excel and SQL, and troubleshooting data issues to enhance financial planning and reporting.

Responsibilities: Key responsibilities include analyzing source data, creating financial forecasting models, producing reports and dashboards, ensuring data integrity, and supporting financial analysis for stakeholders.

Skills: Required skills include proficiency in statistical languages (SQL, Python, R), advanced Excel skills, attention to detail, strong analytical skills, and ability to manage large datasets.

Qualifications: A Bachelor’s Degree in relevant fields is required, with a preferred Master’s Degree and at least 1 year of experience as a data analyst, plus experience with statistical analysis and databases.

Location: This position is based in Clearwater, Florida with a hybrid work model.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $65,000 - $90,000.

The Data Analyst will be responsible for supporting FP&A operations by managing reporting datasets, developing SaaS reports and analyses using both Excel and SQL, and troubleshooting data issues to ensure accurate financial planning, budgeting, and external reporting deliverables.In addition, the individual in this position will work closely with the VP of FP&A and Director of Analytics to implement advanced analytical models and other data-driven solutions.

Responsibilities:

• Interpret source data, analyze results using statistical techniques and provide ongoing reports
• Work to ensure accuracy and integrity of data, as needed 
• Maintain, automate, and increase efficiency of data sets
• Create financial forecasting model to support financial forecasting and planning processes
• Support FP&A analytics mission to generate datasets or create new reports/dashboards and visualizations to communicate results to our stakeholders 
• Continuously learn and develop expertise in the company's business operations to enhance financial analysis accuracy and provide meaningful insights to stakeholders
• Create and analyze SaaS and Financial performance metrics to identify key drivers for expenses, revenues and business risks
• Liaise between finance and non-finance teams to support data collection, cross company initiatives, infrastructure development and process improvementsSupport initiatives for data integrity and normalization
• Assist in due diligence process for company acquisitions
• Perform ad-hoc financial analysis and reporting to support business operations, as requested

Minimum Qualifications:

• Bachelor’s Degree in Mathematics, Finance, Economics, Computer Science, Information Management or Statistics required
• Master’s Degree in Mathematics, Statistics, or other quantitative discipline preferred
• A minimum of 1 year of proven working experience as a data analyst or business data analyst
• Experience with statistical computer languages (SQL, Python, R etc.) to manipulate and analyze large datasets
• Detail oriented with the ability to identify anomalies in data
• Advanced Excel skills, including VBA
• Able to work with and mine large amounts of data
• Experience with statistical analysis preferred
• Experience with databases, query languages, and associated data architecture
• Ability to work in a fast-paced environment and adapt to change
• Strong analytical skills and ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent time management and organization skills