Hybrid Dublin: Power BI & SQL Data Analyst

IT Search; Dublin; Hybrid; EUR 65,000 - 101,000; Full time

Job summary

IT Search in Dublin (Hybrid) is seeking an experienced Data Analyst for an initial 3-month contract. The role centers on transforming complex operational data into automated Power BI solutions and reducing reliance on legacy spreadsheet reporting.

You will design dashboards and data models, implement SQL data preparation, and collaborate with business leaders to define meaningful KPIs. The position is hybrid, with strong extension potential.

Qualifications

• 3-6 years of experience in a Data Analyst or BI role.
• Advanced Power BI & SQL with data modeling, dim/relational modeling, complex joins/CTEs, DAX/Power Query.
• Data Quality Control: investigate datasets, resolve discrepancies, perform quality checks.
• Business Acumen: translate business questions into visual metrics and explain limitations.
• Education: Degree in Data Analytics, Computer Science, STEM, or related field preferred.

Responsibilities

• Power BI & Data Visualisation: Design, build, and optimize dashboards, data models, DAX measures, and Power Query transformations.
• SQL & Data Preparation: Query, extract, cleanse, and consolidate data across databases using SQL.
• Reporting Automation: Engineer automated, repeatable BI solutions and reduce manual reporting.
• Stakeholder Engagement: Gather requirements with non-technical leaders to define KPIs and outputs.
• Data Quality & Governance: Validate data, reconcile discrepancies, and document report definitions.

Skills

Power BI

SQL

DAX

Power Query

Data Modeling

Data Visualization

Stakeholder Engagement

Business Acumen

Education

Degree in Data Analytics/CS/STEM

Tools

Azure

Python

Job description

IT Search in Dublin (Hybrid) is seeking an experienced Data Analyst for an initial 3-month contract. The role centers on transforming complex operational data into automated Power BI solutions and reducing reliance on legacy spreadsheet reporting.

You will design dashboards and data models, implement SQL data preparation, and collaborate with business leaders to define meaningful KPIs. The position is hybrid, with strong extension potential.