Senior Consultant - Finance Data Analytics Engineer

Adservio Luxembourg
Adservio Luxembourg is the Luxembourg arm of Adservio Group, 300+ consultants across Paris, Brussels and Luxembourg, 15 years serving regulated industries. Opened in 2022, our office works across financial services, energy and utilities, transport and mobility, insurance and the public sector. You join our Technologies & Engineering practice.

The context
With our team, you work for a European payments company whose Finance function wants to steer the business from its own data: a lasting analytics capability built on high-volume transactions, under payment-services regulation and strict reconciliation and safeguarding requirements.

Your mission
You give Finance the tools to understand and improve the profitability of the business built to last beyond your assignment.

Build the Finance analytics layer

• You design and deliver data apps and analytical tools for Finance users, from data model to interface.
• You structure and document the data so every figure traces back to its source and the tools evolve without you.

Turn transaction data into finance-grade insight

• You make transactions, ledgers and reconciliations reliable enough for financial decisions.
• You build profitability and customer lifetime value analyses by client, segment and product.

Partner with Finance and the wider business

• You work with the Strategic Finance team and cross-functional partners, turning their questions into data products.
• You present findings and keep priorities aligned with those who run the business.

Your profile
What is essential

• At least 5 years in data analytics within a fintech, a payment service provider or a finance function.
• Data apps or analytical tools you have built and delivered on transactional data, ledgers and reconciliations.
• Hands-on profitability and customer lifetime value (CLTV) analysis.
• Advanced SQL and solid data modelling skills.
• A Master’s degree in data science, engineering, finance or economics.

What makes the difference

• Used to working in an SAP S/4HANA environment; Alteryx experience.
• Familiarity with bank statement data (ISO 20022 / CAMT) and reconciliation flows.
• Python and a BI tool such as Power BI or Tableau.

Languages
Required: English, professional working proficiency.

What you’ll find with us
A tribe of senior peers. You join our data & AI tribe: peer reviews and shared technology watch.
Expertise as a recognised status. Our Subject Matter Experts are called on by fellow consultants and by clients across the group.
Regulated environments, across sectors. This assignment is anchored in payments; our data and AI work runs across energy, transport, insurance and the public sector. You will not stay a single-sector consultant.
A practice still being built, with a clear path. Our Luxembourg office opened in 2022 and is taking shape now, backed by a group of 300+ consultants. What you help put in place becomes the way we work, and our grade framework includes an expert track for those who choose depth over management.

How we hire
Application → Conversation with HR → Technical interview with your future peers → Feedback and decision. Whatever the outcome, you will hear back from us.