Financial Data Analyst

This is a fully remote position, open to applicants in Europe.

📋 Description

• Data Management & Governance

• Take ownership of and maintain data relationships across finance, operations, commercial, and executive teams to ensure data integrity and consistency.

• Create and document data dictionaries, mapping business logic to relevant data sources.

• Collaborate with Data Engineering to establish and enforce data quality standards, proactively identifying and resolving discrepancies.

• Assist in managing integrations between core business systems (ERP, CRM, billing platforms) and reporting infrastructure.

• Reporting & Visualization

• Sustain and enhance the business intelligence and visualization platform (Gooddata), ensuring that dashboards are timely, accurate, and user-friendly.

• Construct and refine automated reporting pipelines to minimize manual effort and enhance timeliness.

• Diagnose data issues and address ad-hoc reporting requests from stakeholders.

• Finance & Board Reporting

• Prepare and populate monthly and quarterly finance reports, including internal reporting tracker data and summaries.

• Assemble board reporting packs containing accurate KPIs, variance analysis, and trend commentary.

• Assist the finance team during month-end and year-end closing processes with data extraction and reconciliation.

⛳️ Requirements

• Minimum of 2 years' experience in a data analyst, finance analyst, or BI role, preferably within a SaaS or technology setting.

• Strong proficiency with BI and visualization tools (e.g., Tableau, Power BI, Looker).

• Solid SQL skills with the capacity to write and optimize queries across various data sources.

• Advanced Excel/Google Sheets skills, including complex formulas and pivot tables.

• Comprehensive understanding of core financial statements (P&L, balance sheet, cash flow) and key SaaS metrics (ARR, MRR, churn, LTV).

• Excellent communication skills—capable of translating complex data into clear narratives for senior leadership and non-technical stakeholders.

• Self-motivated individual who flourishes in a fast-paced, scaling environment and is adept at building processes from scratch.

• Any experience with Python, R, or data transformation tools (e.g., dbt) is advantageous.

🏝️ Benefits

• High trust, real impact: You’ll have the autonomy and expectation to lead with ownership, tackle problems end-to-end, and make decisions that advance the business in significant ways.

• Curiosity with discipline: We value asking insightful questions, challenging assumptions, and discovering smarter work methods. We aim not only to complete tasks but to do them correctly for our customers.

• One team, all in: Collaboration takes precedence over ego, victories are shared, and we unite when the workload becomes challenging.

• Space to grow: You’ll be supported and challenged, taking on tasks that enhance your capabilities, sharpen your judgment, and accelerate your growth as a leader and problem-solver.

• Progress with purpose: We move swiftly, maintain focus on what truly matters, and prioritize long-term impact over quick fixes.