Finance Data Analyst (Contract)

Numeriq; Rotterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Paid trial task

One-month pilot

Job summary

Numeriq seeks a Finance Data Analyst to bridge finance and data. You’ll extract data from ERP, billing, CRM and banks, build clean datasets and reconcile to the trial balance. You’ll deliver monthly packs, forecast forward from actuals and craft concise explanations with initial recommendations.

Engagement is contract, hybrid, with a fixed monthly fee against deliverables. Starts with a paid trial task and a one-month pilot. Strong SQL, Excel and data modeling are required.

Qualifications

• 3–6 years in accounting, audit, controlling or FP&A.
• Solid grasp of reconciliations, month-end close and consolidation, with good judgment.
• SQL skills: joins, aggregations, window functions, CTEs.
• Advanced Excel with Power Query.
• Data modeling: grain, keys, fact and dimension tables.
• Ability to build and maintain a scheduled data refresh.
• Clear written English and overlap with Central European hours.

Responsibilities

• Pull financial and operational data from ERP, billing, CRM and bank systems and automate it where possible.
• Build clean datasets, join ledger data to operational drivers, and maintain mappings.
• Reconcile to trial balance and bank, build checks for duplicates, FX issues and intercompany mismatches.
• Deliver monthly reporting packs and consolidations, roll forecasts forward, and explain movements with recommendations.
• Create templates from recurring work to speed up future engagements.

Skills

SQL

Advanced Excel (Power Query)

Data modeling

Reconciliations / month-end close /Con

Tools

Power BI

dbt

Python

APIs

Job description

We work with companies on finance data models, planning and reporting. Engagements run from structuring and connecting financial data through to forecasting, reporting and decision support.

You'll work directly with me on supporting client delivery.

Role Description

The Finance Data Analyst sits between finance and data. You're either a data person with real finance knowledge, or a finance person with real data skills. One without the other won't work here.

You'll pull financial and operational data out of client ERP, billing, CRM and bank systems and automate it where possible. You'll build clean datasets, join ledger data to operational drivers, and maintain account and entity mappings. You'll reconcile to the trial balance and bank, and build checks that catch duplicates, FX issues, intercompany mismatches and missing periods before anyone else sees them.

From there you'll deliver monthly reporting packs and consolidations, roll forecasts forward off actuals, keep cash and working capital views current, and explain what moved with a first-draft recommendation attached. Recurring work becomes templates so the next engagement is faster.

Model logic, client relationships and final decisions stay with the founder.

Qualifications

Required:

• 3 to 6 years in accounting, audit, controlling or FP&A
• Solid grasp of reconciliations, month-end close and consolidation, and the judgment to know when a number is wrong
• SQL: joins, aggregations, window functions, CTEs
• Advanced Excel including Power Query
• Data modeling: grain, keys, fact and dimension tables
• Ability to build and maintain a scheduled data refresh
• Clear written English and some overlap with Central European hours

Nice to have: dbt, Python, APIs, Power BI, multi-entity groups.

Not required: cloud infrastructure, orchestration, CI/CD. Build and maintain a pipeline, not architect a platform.

Engagement

Contract, hybrid. Fixed monthly fee against agreed deliverables, released on review. Starts with a paid trial task and a one-month pilot.