BI Analyst: Power BI, Data Pipelines & Dashboards

Wlgroup; Eigenbrakel; Sur place; EUR 55 000 - 85 000; Plein temps

Résumé du poste

Wlgroup seeks a skilled data analytics professional to join a small team designing a performance dashboard fed by multiple service providers. You will work onsite with the customer’s technical staff to turn feedback into practical features and robust data pipelines.

Responsibilities include building dashboards, refining data collection interfaces, and maintaining documentation. Proficiency in Python, SQL, Power BI, APIs, and Apache NiFi is essential.

Qualifications

• A relevant degree and at least four years of related experience as a data analyst, data scientist or UX designer.
• Strong Python and SQL against relational databases such as SQL Server.
• Real depth in data visualization, principally Power BI.
• Experience building and integrating APIs so that monitoring can be driven by data.
• Experience managing data flows with ETL/ELT tooling; Apache NiFi is required.
• Sound knowledge of KPIs and formal reporting through dashboards.
• Practical UX/UI design awareness and ability to translate user needs into builds.
• Ability to write technical documentation and user guides.

Responsabilités

• Analyse how services are performing and translate into actionable metrics.
• Design and build dashboard features from feedback to release.
• Improve dashboard visuals, accessibility, and usability.
• Design data collection interfaces and write specifications for review.
• Build and automate data pipelines so multiple providers feed data to a standard.
• Operate and maintain the system, handle incidents, and support training.
• Keep as-built documentation and data model accurate as the project evolves.

Connaissances

Python

SQL

Power BI

APIs

Apache NiFi

Data visualization

Documentation

Formation

Bachelor's degree

Outils

SQL Server

Apache NiFi

Description du poste

Wlgroup seeks a skilled data analytics professional to join a small team designing a performance dashboard fed by multiple service providers. You will work onsite with the customer’s technical staff to turn feedback into practical features and robust data pipelines.

Responsibilities include building dashboards, refining data collection interfaces, and maintaining documentation. Proficiency in Python, SQL, Power BI, APIs, and Apache NiFi is essential.