Finance Data Scientist

Job Description

About Euromonitor

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

About the role

The Finance Data Scientist plays a central role in transforming how Finance, Operations, and Commercial teams leverage data to drive decision making. This hybrid position blends deep financial expertise with advanced analytics, data modelling, and visualisation/presentation capabilities. The role supports both structured reporting and highly analytical, ad hoc problem solving, ensuring that the organisation has accurate, trusted, and forward-looking insight. This hybrid position blends deep financial expertise with advanced analytics, data modelling, and visualisation skills, ensuring that the organisation has accurate, trusted insight.

The role will collaborate closely with FP&A, Finance, Data Engineering, Data Product Manager, HR/Reward teams, Sales Ops, Senior Business Leaders and other business partners. A key focus is to modernise financial reporting, streamline forecasting, and build scalable analytical products that enhance business understanding. This role is critical in bridging Finance with Technology and Data teams, ensuring that financial logic, controls, and definitions are correctly embedded in data products and reporting systems. The role requires a confident presenter able to communicate, collaborate and gain buy in across a wide variety of stakeholders.

What you’ll do

• Lead and deliver financial analysis, modelling and scenario planning
• Support FP&A cycles, including budgeting, forecasting, and performance reviews
• Build and enhance Power BI dashboards (Power Query, DAX, strong data modelling) that become “sources of truth” across revenue, cost, margin, headcount and operational KPIs.
• Develop predictive and statistical models (e.g., regression, classification, anomaly detection, clustering) to improve forecasting and operational performance.
• Translate business rules and finance logic into robust, governed data models; embed reconciliation logic and financial controls within data pipelines.
• Partner closely with FP&A, Finance, Data Engineering, the Data Product Manager, HR/Reward, Sales Ops and senior business leaders on high‑impact analytical projects and ad hoc problem solving.
• Automate refreshes and reporting pipelines; streamline manual reporting into reliable, repeatable processes.

What you’ll bring

Finance Expertise

• ACCA / CIMA / ACA (or equivalent) qualified or part qualified strongly preferred.
• Strong understanding of forecasting, budgeting, cost/margin analysis, financial controls, and month‑end processes.
• Experience in FP&A, commercial finance, operational analytics, or similar finance roles.
• Experience in producing dashboards & recommendation-led analysis covering people data/analytics including variable compensation (bonuses/commissions/annual pay reviews

Technical & Analytical Skills

• Advanced Power BI skills including DAX, Power Query, M‑language, and data modelling.
• Degree in Finance, Economics, Data Science, Mathematics, Engineering, Statistics, or similar.
• Certifications in analytics, Power BI, SQL, Python, AI/ML, or cloud data platforms are an advantage.
• Strong SQL skills for querying and transforming data.
• Experience with Python or R for statistical analysis, modelling, and automation.
• Familiarity with data lakehouse environments and modern cloud-based data platforms.
• Ability to convert business rules and finance logic into structured data models.
• Comfort working with APIs, large datasets, and multiple system integrations.
• Strong PPT/reporting skills and extensive experience in presenting dynamically to senior company leadership level.

Data Science Capability

• Predictive modelling and machine learning experience.
• Familiarity with libraries such as scikit‑learn, pandas, NumPy, or equivalent.
• Understanding of model evaluation, feature engineering, and algorithm selection.

Soft Skills

• Excellent communication skills – able to explain & present complex data clearly to non‑technical audiences and deliver the ‘so what’ to enable effective decision making.
• Strong project management, able to juggle multiple priorities and deadlines.
• High attention to detail and a logical, problem-solving mindset.
• Ability to work independently with minimal guidance and collaborate effectively with cross functional partners.

What Success Looks Like in This Role

• Delivery of high quality, timely insights that drive decision making.
• Power BI dashboards become trusted sources of truth across the organisation.
• Predictive and analytical models materially improve forecasting and operational performance.
• Finance logic and data definitions are consistently applied across systems.
• Ability to automate and reduce manual reporting to improves accuracy.
• Strong, productive relationships built across Finance, Research, Ops, Sales, Data Engineering, and HR/Reward.
• Clear, well documented data models and processes that futureproof reporting.
• Effective handling of ad hoc analytical projects with clarity, structure, and measurable impact.

The salary range for this role in Vilnius is EUR 3250 – EUR 4500 per month

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Why work for Euromonitor?

Our Values:

We seek individuals who act with integrity

We look for candidates who are curious about the world

We feel that as a community, we’re stronger together

We seek to enable people to feel empowered

We welcome candidates who bring strength in diversity

International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis.

Hardworking and sociable: our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with.

Committed to making a difference: We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice.

It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights.

Excellent benefits: we offer competitive salaries, generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day.

Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.

Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.