Power BI Specialist

Bristol

10 months ago

Applications closed

Related Jobs

View all jobs

Business Intelligence & Data Engineering Lead

Office Based Data Analyst

Data Engineer (Azure Data Platform)

Business Intelligence Analyst

Data Analyst

Housing Needs Research and Data Analyst

As a Power BI Specialist, you will play a key role in delivering actionable insights and data visualisations to support decision-making in the industrial and manufacturing sector. This temporary role requires proficiency in Power BI and a keen ability to analyse and present data effectively.

Client Details

The employer is a well-established company within the industrial and manufacturing sector, known for its commitment to innovation and operational excellence. As a medium-sized organisation, they take pride in offering opportunities to work on impactful projects within a professional environment.

Description

Develop and maintain Power BI dashboards and reports to meet business needs.
Collaborate with stakeholders to gather and interpret data requirements.
Ensure data accuracy and integrity across all reporting outputs.
Provide insights and recommendations based on data analysis.
Optimise data models and processes for improved performance.
Support troubleshooting and resolution of data-related issues.
Document data workflows and reporting standards for future reference.
Stay updated on new Power BI features and best practices to enhance reporting capabilities.Profile

A successful Power BI Specialist should have:

Proven proficiency in Power BI, including creating reports and dashboards.
Strong analytical skills with the ability to interpret complex data sets.
Experience of working with SSRS, SSAS and SSIS.
Solid understanding of data modelling concepts and techniques.
Effective communication skills for presenting findings to stakeholders.
A proactive approach to problem-solving and process improvement.
Familiarity with other data analysis tools or programming languages is a plus.Job Offer

Competitive daily rate ranging from £275 to £350 per day - Outside IR35
3 month contract with high probability of extension
Hybrid working - min 3 days on site (Bristol)If this opportunity aligns with your skills and career goals, we encourage you to apply and showcase your expertise in Power BI and data analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.