Data Analyst

Inetum; Portugal; On-site; EUR 40,000 - 60,000; Full time

Job summary

A European digital services leader is hiring a Business Intelligence Developer in the Lisbon Metropolitan Area. The role involves creating impactful dashboards and data visualizations to support clients in achieving their objectives. Ideal candidates have strong skills in Power BI, data modelling, and SQL, and are at a Mid-Senior level. This is a full-time position in the field of Information Technology.

Qualifications

• Strong expertise in Power BI for designing and maintaining dashboards.
• Experience with data modelling using star/snowflake schemas.
• Proficiency in SQL for data extraction and validation.

Responsibilities

• Create business-facing dashboards and data visualizations.
• Support clients in achieving revenue generation and risk management goals.

Skills

Power BI Desktop & Service

Data modelling

Power Query

SQL

Excel

Python or R

Job description

Direct message the job poster from Inetum

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

Create business-facing dashboards and high impact data visualizations and analyses with complex data structures which will support Internal or External clients achieve their objectives in terms of revenue generation, efficiency creation, production levels and risk management.

Technical skills

• Expert on Power BI Desktop & Service – design, publish and maintain complex dashboards/reports.
• Data modelling – star/snowflake schemas, relationships, calculated tables.
• Power Query (M) – complex ETL/ELT, query folding, data cleansing.
• SQL – strong T‑SQL/ANSI‑SQL for data extraction and validation.
• Excel (Power Pivot, Power Query) – ad‑hoc analysis and hand‑off to business users.
• Python or R – basic statistical/ML work or custom visuals.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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