Senior Data Analyst (Evening Shift)

Description

This role sits in the procurement function of a commercial real estate company. It combines data analytics, procurement analytics and business intelligence to support sourcing decisions, supplier performance and cost reduction across a property portfolio.

The work centres on using Microsoft data technologies to turn raw procurement data into insights that improve efficiency and create value across the business.

The company is an international business that has been operating for over 100 years and is growing steadily.

Responsibilities

• Build and maintain interactive Power BI dashboards and reports covering spend, supplier performance, contract lifecycle and procurement KPIs.
• Analyse data across facilities management, construction, fit-out, property services and professional services to deliver insights by category.
• Run spend cube analysis and category benchmarking to identify savings and efficiency gains.
• Track procurement compliance, procurement metrics and maverick spend, and report on them.
• Build scalable pipelines in Microsoft Fabric (Data Factory, Dataflows Gen2) and Databricks that ingest, transform and model procurement data from several source systems.
• Create and maintain Delta Lake tables and Lakehouse architecture in Microsoft Fabric as a single source of truth for procurement data.
• Use SQL, PySpark and Python to wrangle, cleanse and transform data at scale.
• Combine data from ERP systems, contract management platforms and supplier portals into unified data models.
• Design and deploy Power Automate workflows that streamline procurement processes.
• Find manual, repetitive data tasks and automate them to raise team productivity and reduce errors.
• Work with the TDS teams to bring automation best practice into the procurement function.
• Work with Procurement Managers, Category Leads and Finance to turn business requirements into analytical solutions.
• Present findings and recommendations to senior stakeholders in a clear, concise and commercially relevant way.
• Support the CPO and leadership team with ad hoc data requests, market intelligence and strategic reporting.
• Champion data literacy in procurement by training colleagues and guiding them on self-service analytics tools.
• Apply data quality standards, validation rules and governance frameworks to all procurement datasets.
• Document data dictionaries, pipeline logic and report specifications so work is reproducible and easy to hand over.

Conditions

Work in Eastern Time to serve US clients.

Option to work from home for 4 days.

Modern, award-winning office with a view of the Danube.

Central location with excellent public transport.

Supportive, youthful work environment.

The company is an equal opportunity and affirmative action employer and considers all qualified candidates regardless of protected characteristics, and welcomes requests for accessible accommodations during hiring.

Benefits

• Competitive pay and benefits package.
• Cafeteria, mental and physical health care package, community bike ticket and loyalty-based elements.
• Additional holidays to make up for Hungarian public holidays that fall on a weekend.
• Strong learning and development opportunities.