Sekoia is an AI-native SOC platform combining next-generation SIEM, SOAR, and Cyber Threat Intelligence. Following a €26M Series B in 2025, we are scaling the company and preparing for the next stages of our development.

As Finance Data Analyst, you will turn fragmented financial and corporate data into reliable information for decision-making. Reporting to the Head of Finance and working closely with Data Engineering, you will act as the bridge between Finance and technical teams.

You will map data sources, clarify definitions, investigate discrepancies, and structure the datasets and reporting needed for financial and corporate steering. You will work hands-on with the available data without owning the data lake or every integration end-to-end. Your role will be to challenge data quality and assumptions, document what is missing, and help Finance and leadership rely on consistent and actionable information.

In this evolving environment, you will bring structure while keeping a practical focus on delivering useful analysis, reporting, and automation.

Systems in scope:

Your scope will cover data from the main systems used for financial, commercial, operational, and corporate steering:

• Data: Metabase (you will be the owner of the tool)

• Finance and planning: Pennylane, Agicap, Pigment (you will be the owner of the data in the tool), and Excel

• Revenue and CRM: HubSpot and Younium

• People and expenses: Lucca, SILAE, Navan, and TeamTailor (ATS - recruitment tool)

• Cloud and infrastructure: AWS, Azure, and OVH billing data

You will work with Data Engineering and the relevant system owners to connect, transform, document, reconcile, and improve the accessibility of this data.

Your missions:

1. Map and structure Finance data

• Map the systems, data sources, owners, definitions, and flows used for financial and corporate steering.

• Identify gaps, inconsistencies, duplications, and reconciliation issues between sources.

• Define the data requirements for monthly closing, budgeting, forecasting, and management reporting.

• Clarify the definitions and calculation rules for key metrics such as revenue, ARR, NRR, headcount, payroll cost, COGS, cash, and spend.

• Maintain a prioritised backlog of data needs and improvement opportunities with Finance and Data Engineering.

2. Turn data into reliable analysis

• Explore and model data from the data lake and connected business systems.

• Build consistent, documented, and reusable Finance and corporate datasets.

• Reconcile data across accounting, billing, RevOps, HR, payroll, cash management, and spend-management systems.

• Produce recurring analyses and reporting to support Finance and leadership decision-making.

• Build dashboards and self-service views when the underlying data is sufficiently reliable.

• Support budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS metrics analysis.

3. Improve data quality and automate reporting

• Work with Data Engineering and system owners to complete missing data sources, transformations, and quality checks.

• Automate recurring analyses, reconciliations, and reporting where this creates clear value.

• Contribute to data quality monitoring, documentation, and governance for Finance-related data.

• Document data lineage, metric definitions, business rules, and known limitations.

• Prepare reliable datasets for forecasting, anomaly detection, and future AI use cases.

• Handle HR, payroll, and other sensitive data with a high level of confidentiality and rigour.

You will work closely with the Head of Finance, Data Engineering, the RevOps Manager, the FinOps Manager, and other data owners across the company to align definitions, clarify responsibilities, and make Finance data more reliable and accessible.

📍 The position is ideally based in Paris, but can also be based in Rennes, or fully remote from Europe. Professional trips paid for by the company might be required.

Your profile:

🤩 We are excited to meet you if :

• You have a minimum of 3 years of experience in data analysis, business intelligence, Finance analytics, FP&A analytics, or a related role.

• You have strong analytical skills and are able to investigate data across several systems to identify the reasons behind discrepancies.

• You have a good command of SQL and experience with at least one BI or data-visualisation tool.

• You are able to translate business questions into clear data requirements, metrics, and analyses.

• You understand Finance concepts such as budgeting, forecasting, monthly closing, variance analysis, revenue, cash, costs, and unit economics.

• You have strong Excel or Google Sheets skills, including the ability to audit and structure existing models.

• You are professionally fluent in English, both written and spoken.

• You have excellent documentation and communication skills, and are able to work effectively with both Finance and technical teams.

• You are curious about how the business works, rigorous about data quality, and comfortable making definitions and assumptions explicit.

• You are able to work autonomously, prioritise pragmatically, and bring structure to an evolving environment.

Nice-to-have:

• You have experience in a B2B SaaS, software, or scale-up environment.

• You are familiar with SaaS revenue metrics such as MRR, ARR, NRR, churn, and bookings.

• You are familiar with SaaS cost metrics, including Storage, Compute, and Retention hosting costs, AI costs, and gross margin.

• You have experience working with accounting, billing, HRIS, payroll, CRM, spend-management, or planning tools.

• You understand data warehouses, data modelling, ETL concepts, APIs, or data-quality frameworks.

• You have experience with Python or another language used for analysis and automation.

• You have been exposed to HR or payroll data and understand its confidentiality requirements.

👀 Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply, and tell us in the cover letter section why we absolutely must meet!

Recruitment Process:

📝 Here's what's in store for you if you apply :

• HR Interview with Clémentine, Talent Acquisition Manager (30')

• N+1 Interview with Elie, Head of Finance (60’)

• Use case to prepare at home

• Restitution of the use case with a Data team member (30’)

• N+2 Interview with Thérèse, CFO (60’)

Our process usually takes about 3 weeks, depending on availability; it includes reference calls.
The program: discussions rather than trick questions ! These discussions will help you understand how Sekoia works and what it stands for. But they are also (and above all) an opportunity for you to tell us about your career path and your expectations for your next job!

⭐ Sekoia is an equal opportunity employer for any minority, disability, gender identity or sexual orientation. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives.