Senior Data Analyst

Description:

What we're looking for:

• Proficiency in SQL for data extraction, transformation, and analysis; experience with programming languages such as Python or R not required but is an asset.
• Familiarity with Business Intelligence tools such as Looker, PowerBI, Tableau or Alteryx.
• Experience supporting or working as part of Finance / FP&A teams. Previous experience in SaaS or recurring revenue businesses preferred.
• Excellent communication skills, with the ability to convey complex findings to technical and non-technical stakeholders in a clear and concise manner.
• Track record of managing open ended projects from inception to completion, with the ability to define scope and requirements, prioritize tasks and collaborate with varied stakeholders.
• Proactive and results driven individual capable of seeking out solutions to ambiguous problems in a dynamic scaleup environment.
• Strategic mindset with the ability to think through business implications of different approaches to calculating key operating metrics.

What you can expect:

• Partner with cross-functional teams, including Finance, Marketing, Sales / GTM, and Product, to define, develop, and track financial performance metrics and goals.
• Proactively identify trends and anomalies within financial and customer data, providing actionable recommendations to optimize business outcomes.
• Design and execute complex SQL queries to extract, manipulate, and analyze data from internal data sources, transforming raw data into meaningful insights.
• Define, calculate, and report on essential financial metrics, such as net dollar retention, customer churn and lifetime value and translate what this means from an operational perspective.
• Develop and maintain comprehensive dashboards and reports to track financial metrics and communicate findings to both technical and non-technical stakeholders.
• Work with Data Engineering & Analytics Engineering teams to help identify new data sources, validate accuracy of data after it is ingested and provide requirements and business context on new metrics built off of the data.
• Act as a subject matter expert on our ARR (Annual Recurring Revenue) - calculation methodology, what upstream dependencies exist that could cause inaccuracies, what edge cases / nuances exist.