Data Analytics, BI Analyst

Munich Re Automation Solutions

Data Analytics & BI Analyst supporting Business Intelligence dashboard optimisation using Microsoft Power BI and data pipelines for analytics and reporting needs.

Posted 6/20/2026full-timeDublin • 🇮🇪 IrelandMid-LevelSeniorWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

data cleansingdata transformationdata validationPower BIDAXSQLPythonRdata modellingdata analysis

Soft Skills

analytical skillscommunication skillsattention to detailquality mindset

Tools & Technologies

Microsoft FabricPower BI ServiceMicrosoft Office SuitePower Query

Certifications & Qualifications

qualification in Data Sciencequalification in Statisticsqualification in Accountingqualification in Finance

Industry Keywords

data governanceaccess controlreportingtrend analysisforecastingfinancial planningperformance tracking

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Assist in building and maintaining reliable data pipelines in Microsoft Fabric, combining data from multiple systems into curated datasets.
Perform data cleansing, transformation, validation, and publish outputs for reporting.
Support the development, consolidation and improvement of Power BI dashboards and semantic models.
Enhance performance, usability, and consistency using Power Query and DAX.
Perform data checks and investigate issues to improve reporting reliability (refresh, reconciliation, consistency).
Document datasets, report logic, assumptions, and definitions to ensure solutions are maintainable and reusable.
Support the enhancement of reporting and business processes by identifying opportunities to streamline, automate, and enhance them using data-driven solutions.
Support data analysis and reporting that informs decision-making, including trend analysis, forecasting support, and contributions to financial planning and performance tracking.
Provide support to business users and produce simple guidance to drive self-service adoption.

Requirements

What you’ll need

Qualification in Data Science, Statistics, Accounting and Finance or similar
Strong analytical skills and comfort working with data (cleaning, joining, validating, interpreting, predicting)
Working knowledge (academic/projects/internship) of: Power BI / data visualisation
Data modelling concepts (DAX exposure beneficial but not essential)
SQL
Strong communication skills with the ability to explain data to non-technical stakeholders
Attention to detail and strong quality mindset
Exposure to Microsoft Fabric / Power BI Service / Microsoft Office Suite
Python or R for analysis and basic modelling
Interest in data governance and access control

Benefits

Comp & perks

Hands-on experience helping build a company-wide self-service data capability and centralised reporting experience
Mentoring from senior BI/data colleagues and exposure to real cross-functional reporting needs
From wellbeing to career growth, our benefits are designed with you in mind—find out more on our website.