Fast Facts

We are seeking a Data Analyst specializing in Finance to support FP&A operations through reporting dataset management, SaaS report development, and data issue troubleshooting. This remote position is open to candidates in the US only.

Responsibilities: Key responsibilities include analyzing data, ensuring data integrity, creating financial forecasting models, generating reports and dashboards, and supporting financial analysis initiatives.

Skills: Candidates should have advanced Excel skills, proficiency in SQL or other statistical programming languages, and strong analytical abilities to manage and interpret large datasets.

Qualifications: A Bachelor’s degree in Mathematics, Finance, Economics, Computer Science, Information Management, or Statistics is required; a Master’s degree is preferred. A minimum of one year of relevant experience is necessary.

Location: This is a fully remote position available only to applicants based in the USA.

Compensation: $65000 - $80000 / Annually

Remote positions open to the US only. 

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

The base pay for this position ranges from $65,000 - $80,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.

We will accept applications until 10/3/2025.