Financial Data Analyst

TL;DR

Financial Data Analyst: Supporting Finance Data Analytics for revenue-impacting KPIs (ACV, ARR, Renewals) with an accent on reconciling quote-to-revenue metrics and building reporting datasets and dashboards. Focus on ensuring data quality across CRM and upstream quoting flows, translating complex finance data into actionable insights, and partnering with data engineering during month-end and quarter-end close.

Company

CrowdStrike is a cybersecurity company providing an AI-native platform to stop breaches.

What you will do

• Provide ad-hoc support to global Sales and Sales Ops to ensure accuracy of Finance KPIs used for revenue forecasting (ACV, ARR, Renewals).
• Bridge and reconcile financial metrics from quote lines to ACV and ARR.
• Build reporting datasets and dashboards to support revenue-impacting projects and Sales initiatives.
• Collaborate with upstream CRM platform teams to ensure high data quality.
• Partner with the Finance Data Engineering team to investigate and drive solutions as the business evolves.
• Participate in financial month-end and quarter-end close processes.

Requirements

• Location: Preferred location is East Coast US.
• Proficiency in SQL and knowledge of data flow and data warehousing concepts.
• Proficiency in Salesforce.
• Proficiency in data visualization (Tableau is a plus) and Excel.
• Strong communication skills with the ability to translate complex data into actionable insights for external stakeholders.
• Bachelor’s degree in Finance/Engineering or a related discipline, or comparable work experience.

Nice to have

• Sales Support or Sales Ops experience.
• Big 4 experience (EY, PwC, Deloitte, KPMG).

Culture & Benefits

• Market-competitive compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays, plus paid parental and adoption leaves.
• Professional development opportunities for all employees.
• Employee networks and volunteer opportunities.
• Vibrant office culture with world-class amenities.

Hiring process

• Interviews to assess stakeholder support, analytics/reporting experience, and ability to explain finance KPIs and data flows.
• Evaluation of SQL/Salesforce/data visualization skills and experience supporting revenue forecasting.