At a Glance
- Tasks: Design and develop Power BI reports while optimising data pipelines and ensuring data quality.
- Company: Join a leading UK organisation investing in data and technology.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Dynamic role with exposure to diverse datasets and genuine business problem-solving.
- Why this job: Make a real impact by transforming data into actionable insights across various business areas.
- Qualifications: Strong experience in Power BI and SQL, with a background in data engineering or analytics.
Location: Remote - United Kingdom
Salary: Up to £50,000
Employment Type: Permanent, Full Time
Are you a Data Analytics Engineer, BI Engineer or technically strong Power BI Developer looking for a role where you can work across both reporting and the underlying data that powers it? Applause IT is recruiting for a Data Analytics Engineer on behalf of a large UK organisation currently investing significantly in its data, technology and reporting capability. This is a hybrid BI and data engineering position. You will take ownership of developing high-quality Power BI reporting and dashboards while also working hands-on with SQL, data modelling, transformation and pipelines to ensure the underlying data is accurate, scalable and fit for purpose.
It’s particularly well suited to someone who doesn’t want to be limited to simply producing reports. You will work across the full reporting lifecycle – from understanding business requirements and shaping datasets through to building the final dashboards and communicating insights to stakeholders.
What you’ll be doing:
- Designing, building and maintaining Power BI reports, dashboards and semantic models
- Creating intuitive visualisations that turn complex information into clear, actionable insight
- Developing and maintaining DAX calculations and data models
- Using SQL / SQL Server to develop, transform and optimise reporting datasets
- Building and maintaining data pipelines using SQL and modern data platforms
- Improving data quality, consistency and reliability across reporting outputs
- Supporting data governance, lineage and clear reporting definitions
- Working with stakeholders across areas including Operations, Finance and HR to understand requirements
- Translating business requirements into effective technical and reporting solutions
- Helping non-technical and senior stakeholders understand data and use it to support decision-making
What we’re looking for:
You’ll need strong hands-on experience across Power BI and SQL, alongside an understanding of the engineering and modelling required to produce reliable BI solutions. We’re particularly interested in candidates with:
- Strong commercial Power BI development experience
- Strong SQL / SQL Server skills
- Experience with data modelling and data transformation
- Experience developing datasets and pipelines for reporting
- A background within BI Engineering, Analytics Engineering, Data Engineering or a similarly hands-on data role
- The ability to work across both back-end data development and front-end reporting
- Strong communication skills and experience working directly with business stakeholders
Experience with Snowflake would be highly advantageous. Exposure to Microsoft Fabric, Databricks or similar modern data platforms would also be useful. Additional experience with ETL tooling, APIs, Python, automation, data governance or complex/regulated datasets would be beneficial but isn’t essential.
Why consider this opportunity?
This is an opportunity to join an organisation where data is increasingly important to how the business operates and makes decisions. Rather than joining a narrowly defined reporting position, you’ll have the opportunity to work across Power BI, SQL, data engineering, modelling, quality and stakeholder engagement, helping to develop a more scalable and insight-driven data environment. The organisation operates nationally across a complex, multi-service environment, meaning you’ll be working with varied datasets and solving genuine business problems rather than simply maintaining a static suite of reports.
If you’re a Data Analytics Engineer, BI Engineer, Analytics Engineer or Power BI Developer with strong SQL skills who wants broader ownership across reporting and data engineering, apply now for further information.
Data Analyst employer: Applause IT Recruitment Ltd
Applause IT Recruitment Ltd is an excellent employer for Java Developers, offering a dynamic and collaborative work environment in Altrincham, Greater Manchester. With a strong focus on employee growth, the company provides structured career progression, ongoing training, and the flexibility of hybrid working arrangements, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Applause IT Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
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We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
