Data Analyst

Omni RMS

Data Analyst

Contract: IT
Location: Birmingham, B37 7YN - hybrid
Hours of work: 40
Contract Type: Permanent

Our client, a leading provider of facilities services in the UK, is seeking a Data Analyst to analyse data, design and develop data solutions, and provide visibility that enables data-driven action and insight.

This role has a broad scope across a variety of performance and client KPI data held within multiple operating systems. The successful candidate will support better decision-making by transforming data into meaningful insights and reporting solutions.

Working closely with account teams, operational teams, and central functions, the Data Analyst will identify patterns, trends, and areas for improvement within complex datasets. Through clear analytical outputs, dashboards, and visualisations, the role will help highlight both best practice and opportunities for enhanced performance.

Job Description

We are looking for an individual who can work collaboratively with stakeholders across the business to understand requirements and deliver data-driven solutions that support operational and strategic objectives.

The ideal candidate will have strong analytical skills, experience working with large datasets, and the ability to communicate findings clearly through reporting and visualisation tools.

Key Responsibilities

  • Analyse large datasets to identify patterns, trends, and meaningful insights.
  • Design and develop data solutions to support business decision-making.
  • Clean, transform, and validate data to ensure accuracy, completeness, and consistency.
  • Apply analytical techniques to uncover relationships and trends within data.
  • Create dashboards, reports, and data visualisations using tools such as Power BI, Tableau, or Excel.
  • Work closely with business leaders, operational teams, and clients to understand requirements.
  • Translate business requirements into analytical outputs and reporting solutions.
  • Ensure adherence to data governance standards, policies, security requirements, and data quality standards.

Person Specification

  • Strong data analysis and exploration skills with the ability to extract meaningful insights from large datasets.
  • Experience in data cleaning, preparation, validation, and transformation.
  • Proficiency in SQL, including writing queries, joining tables, creating views, and query optimisation.
  • Experience building dashboards and reports using Power BI and Tableau.
  • Understanding of statistical methods, probability, distributions, and basic modelling.
  • Awareness of data governance principles, including data quality, lineage, security, and compliance.
  • Ability to work collaboratively with operational teams, business leaders, and clients.
  • Strong communication skills with the ability to translate business requirements into actionable analytical outputs.
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