At a Glance
- Tasks: Analyse data, improve processes, and create impactful Power BI dashboards.
- Company: Join a dynamic manufacturing business focused on IT transformation.
- Benefits: Competitive salary, 25 days leave, healthcare plan, and profit share.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Make a real impact by turning data into actionable insights.
- Qualifications: Experience in data analysis, business processes, and stakeholder engagement.
The predicted salary is between 35000 - 45000 £ per year.
We're looking for a commercially minded Data Business Analyst to join the IT Transformation team and play a key role in improving the way our client uses data, systems, and processes.
This is a varied role that combines business analysis, process improvement, data analysis, and reporting.
You'll work closely with stakeholders across the business to map and improve processes, develop meaningful management information, build Power BI dashboards, and ensure business systems are being used effectively to support operational performance.
If you enjoy solving problems, analysing data, improving business processes, and turning complex information into clear, actionable insight, this is an excellent opportunity to make a real impact within a growing manufacturing business.
The Role
As the Data Business Analyst, you'll act as the link between operational teams, business leaders, and technology.
You'll analyse how the business works today, identify opportunities for improvement, and deliver data-driven insights that support informed decision-making.
Working as part of the IT Transformation team, you'll help improve process consistency, enhance data quality, develop reporting solutions, and support the successful adoption of business systems across the organisation.
Key Responsibilities
- Capture, map, and maintain business processes using tools such as Miro, producing clear L1, L2 and L3 process documentation, procedures and work instructions.
- Analyse existing business processes to identify inefficiencies, risks, bottlenecks and opportunities for continuous improvement.
- Work closely with stakeholders to document agreed process changes and ensure improvements are implemented consistently.
- Support users in the effective use of business systems, encouraging best practice and improving data accuracy across key platforms.
- Query and analyse data using SQL to support operational reporting, business analysis and decision-making.
- Use advanced Excel, including VBA/VB automation where appropriate, to manipulate, cleanse, reconcile and structure large data sets.
- Design, develop and maintain interactive Power BI dashboards and reports that provide meaningful operational and strategic insight.
- Produce regular management information (MI), KPI reporting and ad hoc analysis for senior leadership teams.
- Translate business requirements into practical reporting and process solutions.
- Support the ongoing adoption and development of Microsoft Dynamics 365 (D365), Microsoft 365 and associated business applications.
- Build strong relationships with stakeholders across multiple departments, communicating effectively with both technical and non-technical audiences.
- Gain an understanding of manufacturing operations, including production, planning, supply chain and commercial activities, to deliver practical business improvements.
- Continuously identify opportunities to improve reporting, automation, business processes and data quality.
About You
We're looking for someone who combines strong analytical ability with excellent communication skills and enjoys working across both data and business processes.
You'll ideally have experience in a Business Analyst, Data Analyst or Business Systems Analyst role and be comfortable engaging with stakeholders at all levels.
Essential Skills & Experience
- Experience in a Business Analyst, Data Analyst or hybrid Business Systems role.
- Strong business process mapping and documentation skills, including L1-L3 process modelling.
- Excellent Power BI skills, including dashboard design, data visualisation and reporting.
- Good SQL knowledge with experience writing queries to extract, analyse and validate data.
- Advanced Microsoft Excel skills, including complex formulas, data manipulation, reconciliation and VBA/VB automation.
- Experience producing management information, KPI reporting and business dashboards.
- Good understanding of Microsoft Dynamics 365 (D365) and Microsoft 365.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to communicate effectively with technical and non-technical stakeholders.
- Confident gathering requirements and translating business needs into practical solutions.
Desirable
- Experience within manufacturing, engineering or industrial environments.
- What's on Offer
- Competitive salary (dependent on experience)
- 37.5-hour working week (office based)
- 25 days annual leave plus bank holidays
- Quarterly Company Profit Share Scheme
- Healthcare Cash Plan
- Employee Assistance Programme
- Life Assurance
- Electric Vehicle Salary Sacrifice Scheme
- Company Pension
- Free on-site parking
Data Analyst in Leeds employer: Know How Resourcing
At Know How Resourcing, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our Skipton location provides a supportive environment with ample opportunities for professional growth, competitive salaries, and a strong focus on employee health and wellness, making it an ideal place for skilled Electrical Maintenance Engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leeds
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Know How Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Know How Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Know How Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Know How Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Leeds
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Know How Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Know How Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Know How Resourcing
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Know How Resourcing!
✨Prepare for Case Studies
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.
