Data Analyst

Role:  Data Analyst

Location: Birmingham (Hybrid – 2/3 Days On-Site Weekly)

Salary: £36,000 - £46,000

Network IT are working with a leading research-intensive organisation to recruit a Data Analyst Developer to join a growing Data & Analytics function at the heart of a significant data transformation programme. 

This is an exciting opportunity to help modernise the organisation's data landscape through the adoption of Snowflake , the migration to Power BI , and the delivery of enterprise-wide analytics capabilities that support strategic decision-making. 

Role Overview

As a Data Analyst Developer , you will play a key role in developing and maintaining enterprise reporting and analytics solutions, helping stakeholders across the organisation make better, faster, and more informed decisions. 

Working closely with colleagues across Data & Analytics, IT, and wider business functions, you will support the development of modern cloud-based reporting solutions using technologies including Power BI, Snowflake, SQL, dbt, Tableau, and Alteryx . 

This is a highly technical, hands-on role suited to someone who enjoys combining data engineering, analytics, reporting, and stakeholder engagement to deliver meaningful business outcomes. You will also have the opportunity to explore emerging technologies, including AI-enabled solutions, to enhance analytics and reporting capabilities. 

Key Responsibilities

• Develop and maintain enterprise reporting and analytics solutions using Power BI and Tableau

• Design and support data pipelines, refresh schedules, and reporting environments using Snowflake, SQL, Alteryx, and dbt

• Analyse institutional and external datasets, providing actionable insights for decision-makers 

• Create data-rich dashboards, reports, and visualisations that support business performance and strategic planning 

• Support forecasting, planning, and modelling activities using enterprise systems and analytics tools 

• Develop and maintain reporting models, documentation, and technical standards 

• Ensure data quality, integrity, and governance standards are maintained across reporting solutions 

• Work closely with stakeholders to understand requirements and translate them into technical solutions 

• Deliver training, guidance, and support to users across the organisation 

• Contribute to the adoption of new technologies, including AI-enabled analytics and reporting solutions 

Essential Skills & Experience

• Degree qualified (or equivalent experience) in a relevant technical, data, or IT discipline 

• Strong experience developing reports and dashboards using Power BI, Tableau, SAP BusinessObjects, or similar BI platforms

• Experience creating complex Power BI dashboards , including DAX, Power Query, and Row-Level Security (RLS) 

• Strong SQL skills and experience extracting, transforming, and analysing large datasets 

• Experience with modern data platforms such as Snowflake and data transformation tools such as dbt or Alteryx

• Strong understanding of data modelling concepts including facts, dimensions, semantic modelling, and reporting architectures 

• Experience implementing reporting standards, development best practices, and quality assurance processes 

• Proven ability to analyse complex datasets and communicate findings clearly to both technical and non-technical audiences 

• Strong stakeholder engagement and communication skills 

• Understanding of data governance, data quality, and data protection principles 

• Ability to work independently whilst managing multiple priorities in a fast-paced environment 

Desirable Skills & Experience

• Experience with Python or similar programming languages 

• Experience supporting or mentoring junior developers 

• Experience working within Agile delivery environments such as Scrum or Kanban

• Experience integrating Power BI with cloud data warehouses

• Knowledge of Cognos Planning Analytics (TM1)

• Experience with Simitive WAMS or similar planning and workload management platforms 

• Understanding of the Higher Education sector and its data challenges