Finance Data Analyst

Finance Data Analyst at Contentsquare scores 45 out of 100 on AI centrality, which makes it a Level 2 role on this board.

Remote (Poland)midFull-time

AI in this role

Manage financial models, topline analytics, and leverage AI tools for forecasting and revenue growth.

tableauai-tools

financial-modelingdata-analysisforecastingbudgeting

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.

About the job:

Contentsquare operates in a dynamic environment and the finance team is a key contributor to the company’s success. This is an excellent opportunity to become financially savvy and take your business acumen to the next level.

The GTM Field Finance team is responsible for overseeing and optimising the financial performance through supporting and partnering with the Go-to-Market teams inclusive of Sales, Customer Success and Marketing & Partnership teams. The team shares the following goals:

Drive financial excellence
Strengthen business partnering
Enhance processes and systems
As a team, boost cross-team collaboration and professional development.

Reporting to the Senior Field Finance Director, you will be an integral part of the finance department.

What you'll do:

Topline Partnering

Serve as the subject-matter expert for topline data. Manage models and coordinate with stakeholders (RevOps, Data Engineering, Deal Desk, Product) to deliver best-in-class analytics.
Leverage our data model and AI tools to identify opportunity areas and drive revenue growth.
Perform ad-hoc financial analysis and quantitative modeling to support strategic initiatives.
Build, enhance, and maintain topline-planning models to support budgeting and forecasting cycles.

Internal Dashboards & Reporting:

Own and streamline the management book (in Tableau or other), effectively supporting internal management reviews, board meetings, and Field Finance partners’ activities.
Consolidate monthly/quarterly financial actuals against forecasts, highlighting trends and variance drivers.
Partner with other teams’ data analysts to ensure company-wide alignment

Automation & Process Improvement:

Identify opportunities to automate manual financial reporting and eliminate operational bottlenecks.
Simplify data structures and workflows across the GTM and Finance tech stack to improve data integrity and speed.
Define and maintain Contentsquare's main KPIs.

What you'll need to succeed:

Professional Experience: 2-5 years of experience in a BI, or Data Analyst team, preferably in a fast-paced, high-growth environment.

Education: Master’s degree or equivalent practical experience in Finance, Data Analytics, Business Intelligence, or a related discipline.

Systems & Data Mindset: Experience in business intelligence, data analytics, system architecture, and AI-powered functionalities, especially Snowflake/DBT frameworks.

Core Finance Skills: Understanding of financial planning and analysis functions, including the annual budget, long-term strategic planning, and resource allocation processes.

Analytical Prowess: Excellent analytical skills with the ability to translate complex data into actionable outcomes for business partners. High degree of proficiency with Excel or Google Sheets.

Communication: Full proficiency in English is a must-have.

Mindset: Curious, proactive, and eager to champion new tools in a challenging yet exciting environment. Highly organized with a project-driven vision, adaptable to changing conditions, and capable of meeting deadlines under pressure.

Pigment SaaS Expertise or other EPM system (a plus): Hands-on experience with an EPM tool.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Financial ModelingData AnalysisForecastingBudgetingTableauAI Tools

Questions you could be asked

Tell me about a project where financial modeling was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where forecasting was part of your work. What did you do?
Tell me about a project where budgeting was part of your work. What did you do?
Walk me through how you've used Tableau in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Financial Modeling, Data Analysis, Forecasting, Budgeting, and Tableau. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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