Fast Facts

Join our team as a Senior Data Analyst in Finance where you will manage master data sets, develop analytical models, and provide insightful reports to support decision-making processes.

Responsibilities: Key responsibilities include interpreting data, ensuring accuracy, developing reporting systems, and collaborating with both finance and non-finance teams to enhance performance metrics and strategic initiatives.

Skills: Required skills include proficiency in SQL, Python, or R, advanced Excel, BI tools (such as Looker or Tableau), and strong analytical abilities to work with large datasets effectively.

Qualifications: Minimum qualifications include a Bachelor's Degree in a relevant field, with preferred experience of 3+ years in a SaaS environment and a Master's Degree in a quantitative discipline.

Location: Clearwater, Florida

Compensation: Not provided by employer. Typical compensation ranges for this position are between $85,000 - $120,000.

The Senior Data Analyst will be responsible for managing our master data set, developing reports, and troubleshooting data issues. 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
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Support FP&A analytics mission to generate datasets or create new reports/dashboards and visualizations to communicate results to our stakeholders 
• Create and analyze SaaS and Financial performance metrics to identify key drivers for expenses, revenues and business risks
• Participate in short-term and long-term financial planning exercises
• Create financial forecasting model to support financial forecasting and planning processes
• Liaise between finance and non-finance teams to support data collection, cross company initiatives, infrastructure development and process improvements
• Collaborate with Revenue Operations to enhance financial reporting and analytics
• Support 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, Economics, Finance, Computer Science, Information Management or Statistics required
• Master’s Degree in Mathematics, Statistics, or other quantitative discipline preferred
• A minimum of 3 years of proven working experience as a data analyst or business data analyst in a SaaS business
• Experience with statistical computer languages (SQL, Python, R etc.) to manipulate and analyze large datasets
• Advanced Excel skills
• Experience analyzing SaaS business metrics with focus on Annual Recurring Revenue (ARR), customer acquisition metrics, churn rates, and lifetime value
• Detail oriented with the ability to identify anomalies in data
• Experience with BI tools (Looker, PowerBI, Tableau)Experience with databases, query languages, and associated data architecture (DBT, Snowflake, Gitlab)
• 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