Description
We are seeking an exceptional Senior Revenue Data Analyst to join our Sales Finance Analytics team. This role is designed for a business analysis expert who thrives at the intersection of financial reporting support, data governance, and systems optimization.
As a pillar of the FP&A team, you will champion the accuracy and consistency of our financial data, aligning internal pipelines with external reporting standards. Through data processing and rigorous reconciliation management, you will safeguard our data integrity, streamline audit readiness, and transform raw data into verifiable financial truth.
Key responsibilities include: Acting as a translator and steward of financial data, guiding users to understand and properly employ our single source of truth reporting Managing multiple workstreams and maintaining common custom fields used across different requests Analyzing large data sets across multiple platforms and systems with the ability to synthesize the data to draw conclusions, provide business insights, and tell a story through data Designing and implementing advanced data processing solutions in Python to identify and analyze customer and product sales behaviors for comprehensive analytics Participating in the development and maintenance of data governance policies and procedures, ensuring data integrity, quality, consistency, and compliance with relevant regulations Collaborating with multi-functional teams to find opportunities for process optimization, building consensus, automation, and cost reduction Designing and building new reporting processes by using SQL, AI tools, financial reporting standards, and database management experience Developing a contextual AI agent that automates reconciliation and consistency across different partners and maintains that consistency with previous submissions as well as external reporting Applying your experience in Financial Analysis/FP&A to explain financial performance (revenue, COGS, Gross Margin, etc.) with a product-centric approach
Requirements include: 8+ years of experience in FP&A or Sales Operations experience, working closely with business partners from multiple departments Proficiency in Excel, SQL, Python, Tableau or Power BI Strong data modeling skills in SQL is essential Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance or Economics MBA or equivalent experience is a plus Experience in presenting findings from data analyses to senior management and other team members Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, managing multiple priorities and leading change and process improvement
Nice-to-have skills include: Experience in data center hardware such as computer networking, CPUs or GPUs, hard drives, RAM or SSDs Experience in applying accounting principles such as general ledgers, contra-revenue ASC 606 standards Experience in audit, such as SOX controls, SOX system processes Knowledge or experience in Salesforce, SAP COPA, SAP SD, SAP BPC