PowerBI Data Analyst

Posted 21 July 2025
Salary 33.97
LocationCamden N1C United Kingdom
Job type Full time
Sector Technology / IT / Internet
ReferenceRQ1545745

Job description

3 months contract with local authority

We are looking for a talented NLWA PowerBI Data Analyst to support a variety of services and deliver against corporate cross-cutting priorities. As a NLWA PowerBI Data Analyst, you will use data from internal and external sources to carry out insightful analytics for various professional roles and audiences. You will have significant expertise in PowerBI, including using PowerQuery, combining multiple data sets, building semantic models, and using DAX expressions. Your responsibilities will include data analysis and synthesis, communication with stakeholders, data management, data modelling, cleansing and enrichment, data quality assurance, validation and linkage, data visualisation, IT and mathematics application, logical and creative thinking, project management, and statistical methods and data analysis.

Responsibilities:

  • Carry out insightful analytics for various professional roles and audiences
  • Apply basic techniques for data analysis from internal and external sources
  • Communicate effectively with stakeholders in various roles
  • Understand and promote data governance practices
  • Produce and maintain data models/dashboards
  • Identify appropriate ways to collect, collate, and prepare data
  • Take advantage of a wide variety of data visualisation tools and methodologies
  • Apply IT and mathematical skills in a sensitive manner to information security
  • Respond effectively to problems in databases, data processes, data products, and services
  • Apply project management methodologies and collaborate with colleagues to achieve objectives
  • Apply statistical techniques to generate insight and answer business questions


Requirements

Requirements:
  • Proven experience as a Data Analyst or similar role
  • Proficient in PowerBI, including PowerQuery, DAX expressions, and building semantic models
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills
  • Knowledge of data governance and data management best practices
  • Experience in data modelling, data visualisation, and statistical methods
  • Bachelor's degree in Computer Science, Statistics, or related field