Data Insights Analyst: Power BI Dashboards & Reporting

MCS Group

Craigavon

On-site

GBP 30,000 - 33,000

Full time

14 days+

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Job summary

MCS Group in Banbridge is seeking a Data Analyst to support its Contracts function by turning complex operational data into clear, actionable insight. You will own reporting, create interactive Power BI dashboards and help stakeholders make data-led decisions across teams.

You will collect, cleanse and transform data from multiple sources, identify trends and anomalies, and present findings clearly to both technical and non-technical audiences.

Qualifications

  • Strong experience with Power BI, Power Query and Excel.
  • Experience preparing, analysing and visualising data.
  • Ability to work confidently with information from multiple sources.
  • Strong analytical and problem-solving skills.
  • Experience developing dashboards and management reports.
  • Good stakeholder engagement and requirements-gathering ability.

Responsibilities

  • Collecting, cleaning and transforming data for accurate reporting.
  • Integrating information from multiple business sources.
  • Developing interactive Power BI dashboards and visualisations.
  • Analysing operational data to identify trends, anomalies and improvement opportunities.
  • Gathering reporting requirements from stakeholders.
  • Translating complex datasets into practical business insights.
  • Resolving data-quality and reporting challenges.
  • Supporting ad hoc analysis and continuous-improvement initiatives.
  • Delivering training and knowledge-sharing sessions.
  • Developing reporting documentation, processes and standards.

Skills

Power BI
Power Query
Excel
Data analysis
Stakeholder engagement

Job description

MCS Group in Banbridge is seeking a Data Analyst to support its Contracts function by turning complex operational data into clear, actionable insight. You will own reporting, create interactive Power BI dashboards and help stakeholders make data-led decisions across teams.

You will collect, cleanse and transform data from multiple sources, identify trends and anomalies, and present findings clearly to both technical and non-technical audiences.

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