At a Glance
- Tasks: Design and deploy interactive Power BI dashboards while optimising data models and ETL processes.
- Company: Smiths Group, a pioneering engineering company with a rich history and global presence.
- Benefits: Competitive salary, diverse work culture, and opportunities for career growth.
- Other info: Inclusive workplace celebrating diversity and offering excellent career development opportunities.
- Why this job: Join a team tackling real-world challenges with innovative data solutions and cutting-edge technology.
- Qualifications: Experience in Data Analytics, strong Power BI and SQL skills, and a passion for problem-solving.
The predicted salary is between 40000 - 50000 £ per year.
Smiths Group designs, manufactures and delivers smarter engineering solutions for mission‑critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better‑connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture.
Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers' biggest challenges today and in the future. We’re looking for people with curious minds who want responsibility and relish a challenge. Whether you’re an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There’s never been a better time to join Smiths.
Responsibilities:
- Design, build and deploy interactive Power BI dashboards and reports.
- Develop robust data models using star schema and dimensional modelling principles.
- Create and optimise DAX measures for performance and scalability.
- Deliver ETL processes across SAP, databases and other data sources.
- Gather and translate business requirements into analytical solutions.
- Ensure data accuracy, consistency and governance across reporting layers.
- Optimise report performance, including query tuning and dataset management.
- Work with large datasets using SQL and, ideally, Python.
- Support deployment pipelines and version control practices.
- Troubleshoot data and reporting issues to ensure timely resolution.
- Implement data validation, cleansing and reconciliation processes.
- Maintain and enhance existing Power BI assets in line with evolving business needs.
- Establish data quality checks and monitoring mechanisms.
- Use advanced Excel (Power Query, complex formulas, data modelling) to support reporting and automation.
Qualifications Required Skills & Experience:
- Significant experience in Data Analytics or BI development.
- Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M).
- Strong SQL skills and experience with relational databases.
- Solid understanding of data modelling (Kimball / Star Schema).
- Hands‑on experience with SAP data (ECC, BW extracts).
- Knowledge of ETL processes and data pipelines.
- Strong analytical and problem‑solving skills.
- Ability to communicate insights clearly to non‑technical audiences.
Preferred Skills:
- Experience working in large enterprise data environments.
- Understanding of data governance, lineage and metadata management.
- Familiarity with version control tools.
- Awareness of AI/ML use cases in analytics.
- Strong stakeholder management and communication skills.
- Experience in Energy, Manufacturing or Supply Chain sectors.
- Understanding of SAP functional areas (Finance, Procurement, Supply Chain).
Diversity & Inclusion:
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity.
Data Analyst in Birmingham employer: Smiths Group
At Smiths Group, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. With over 170 years of pioneering engineering solutions, we offer our Data Analysts not only competitive benefits and a commitment to diversity and inclusion but also ample opportunities for professional growth in a global environment. Join us in making a meaningful impact across critical sectors while working with cutting-edge technology and a passionate team dedicated to solving the world's toughest challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Smiths Group. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. We recommend using real-world scenarios from your experience to showcase your skills and problem-solving abilities.
✨Tip Number 3
Show off your projects! If you've built any Power BI dashboards or worked with SQL, bring them up in conversations. Visual examples can really impress hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Smiths Group. Plus, it shows you’re genuinely interested!
We think you need these skills to ace Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role at Smiths Group. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your analytical skills. We want to see how your background aligns with our mission of solving tough problems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our pioneering spirit. Be sure to mention specific skills like DAX and ETL processes that are mentioned in the job description.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's optimising report performance or troubleshooting data issues, we love to see examples of your analytical thinking in action!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Smiths Group
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, DAX, and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your expertise will show that you're not just familiar with the software but can leverage it effectively.
✨Understand the Business Context
Smiths Group is all about solving tough problems through engineering. Familiarise yourself with their key markets like Energy and Aerospace. Think about how your data analysis skills can contribute to their mission and be prepared to share insights on how data can drive decision-making in these sectors.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges or optimise a reporting process. Practice articulating your thought process clearly, as this will showcase your analytical skills and problem-solving abilities. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Communication Skills
You’ll need to communicate complex data insights to non-technical audiences. Prepare examples of how you've done this in the past. Highlight your ability to translate technical jargon into understandable terms, as this is crucial for stakeholder management at Smiths Group.