Senior Consultant – Finance Data Analytics Engineer

Delta Consulting Company

. Design and deliver data apps and analytical tools for Finance users, from data model to interface .

Posted 11/10/2026full-timeLuxembourg • LuxembourgSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering data applications and analytical tools for finance, with a strong focus on profitability and customer lifetime value analysis. Proficient in data modeling, SQL, and BI tools, ensuring reliable financial decision-making through structured data management.

Highest-signal resume keywords

Advanced SQLData ModelingProfitability AnalysisPythonExperience with BI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData App DevelopmentTransactional Data AnalysisCustomer Lifetime Value AnalysisLedgers and Reconciliations

Soft Skills

Stakeholder CommunicationCross-Functional Collaboration

Tools & Technologies

SAP S/4HANAAlteryxPower BITableau

Certifications & Qualifications

Master’s Degree in Data ScienceMaster’s Degree in EngineeringMaster’s Degree in FinanceMaster’s Degree in Economics

Industry Keywords

FintechPayment Service ProviderBank Statement DataISO 20022CAMT

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Design and deliver data apps and analytical tools for Finance users, from data model to interface
Structure and document data so every figure traces back to its source and tools evolve sustainably
Make transactions, ledgers and reconciliations reliable enough for financial decisions
Build profitability and customer lifetime value analyses by client, segment and product
Work with the Strategic Finance team and cross-functional partners to turn business questions into data products
Present findings and keep priorities aligned with business stakeholders

Requirements

What you’ll need

At least 5 years in data analytics within a fintech, a payment service provider or a finance function
Experience building and delivering data apps or analytical tools using transactional data, ledgers and reconciliations
Hands-on profitability and customer lifetime value (CLTV) analysis
Advanced SQL
Solid data modelling skills
Master’s degree in data science, engineering, finance or economics
Experience in an SAP S/4HANA environment
Alteryx experience
Familiarity with bank statement data (ISO 20022 / CAMT) and reconciliation flows
Python
Experience with a BI tool such as Power BI or Tableau
Professional working proficiency in English

Benefits

Comp & perks

Peer reviews and shared technology watch
Access to a tribe of senior peers in data & AI
Subject Matter Expert recognition and opportunities across the group
Exposure to regulated environments across payments, energy, transport, insurance and the public sector
Expert career track for those who choose depth over management
Structured hiring process with feedback regardless of outcome