Data Analyst

Company: Network IT
Apply for the Data Analyst
Location: London
Job Description:

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

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Posted: October 24th, 2026