Fast Facts

The Senior Data Analyst will lead data management, reporting, and analysis efforts to support financial planning and decision-making in a remote role for candidates in the US.

Responsibilities: Manage master data sets, develop reports, troubleshoot data issues, and collaborate on advanced analytical models while ensuring data accuracy and integrity.

Skills: Proficiency in SQL, Python, or R for data manipulation, advanced Excel skills, experience with BI tools and SaaS metrics analysis, and strong analytical abilities.

Qualifications: Bachelor's in Mathematics, Economics, Finance, Computer Science, or Statistics required; Master's preferred, with a minimum of 3 years experience in a SaaS data analyst role.

Location: Remote positions open to the US only

Compensation: $80000 - $95000 / Annually

Remote positions open to the US only. 

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

The base pay for this position ranges from $80,000 - $95,000, 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.