Analytics Engineer (Business Intelligence & Reporting)

SUMMARY:

POSITION INFO:
Key Responsibilities Design, develop, and maintain Power BI dashboards, reports, scorecards, and visualisations . Develop semantic models and trusted reporting datasets that support self-service analytics. Build KPI dashboards and reporting solutions for business stakeholders. Develop and maintain Power BI Paginated Reports where required. Optimise Power BI models, DAX calculations, and report performance. Analyse datasets to identify trends, opportunities, risks, and business insights. Translate business requirements into scalable reporting and analytical solutions. Define, monitor, and maintain business KPIs and performance metrics. Perform trend analysis and support data-driven business investigations. Develop and maintain PySpark notebooks within Microsoft Fabric. Build reporting-ready datasets through data cleansing, transformation, and validation. Develop scalable data models that support reporting and analytics requirements. Write and optimise complex SQL queries for reporting and analytics. Ensure data quality, governance, and consistency across reporting solutions. Document datasets, business rules, and reporting standards. Collaborate with business users, product owners, and technical teams to deliver impactful solutions. Contribute to analytics best practices and continuous improvement initiatives. Job Experience and Skills Required Education Degree, Diploma, Certification, or equivalent experience in Data Science, Computer Science, Information Systems, Information Technology, or a related field. Experience Minimum 4 years' experience in Analytics Engineering, Business Intelligence, or a related role. Proven experience delivering enterprise reporting and analytics solutions. Strong experience building Power BI dashboards, semantic models, and reporting solutions. Experience developing PySpark notebooks within Microsoft Fabric or Apache Spark environments. Strong SQL development and data modelling experience. Experience working with modern Microsoft Data Platform technologies. Exposure to Financial Services or Insurance environments advantageous. Skills Microsoft Data Platform Microsoft Fabric Azure Synapse Analytics Azure Data Factory OneLake Lakehouse Architecture Delta Lake Business Intelligence & Reporting Power BI DAX Power Query (M) Semantic Models Tabular Models Power BI Report Builder Dashboard Development Data Visualisation Data Engineering SQL PySpark Python Data Modelling ETL \/ ELT Development Data Warehousing Principles Analytics KPI Development Data Analysis Trend Analysis Data Storytelling Business Intelligence Reporting Development Practices Git Version Control CI\/CD (Advantageous) DataOps (Advantageous) Advantageous Skills Experience with Microsoft Fabric analytics solutions. Exposure to forecasting and predictive analytics. Exposure to machine learning concepts. Understanding of Kimball dimensional modelling. Experience with Delta Lake architectures. Experience within Financial Services or Insurance environments. Apply now! For more exciting IT vacancies, please visit: \/> I also specialise in recruiting in the following: Software Developers Mobile Developers Business and Systems Analysts BI and SQL Experts Data & Analytics (Data Scientists, Data Analysts, Python, R, SQL, Machine Learning) AI & Automation (Artificial Intelligence, Machine Learning, Intelligent Automation, and Process Automation Solutions). If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles \/ positions. For more information, contact: Bianca Thompson Specialist Recruitment Consultant