At a Glance
- Tasks: Lead data analysis and reporting using Power BI to drive business decisions.
- Company: Join a dynamic team focused on data-driven solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and efficiency.
- Why this job: Make an impact by transforming complex data into actionable insights.
- Qualifications: 3+ years of Power BI experience and strong analytical skills.
The predicted salary is between 40000 - 50000 £ per year.
An opportunity has arisen for a Data Analyst to play a key role in enabling data-driven decision making. This position will lead the design, development and optimisation of reporting and analytics solutions, with a strong emphasis on Power BI.
Key Responsibilities
- Business Analysis & Requirements Management
- Lead the elicitation, analysis, and documentation of business requirements across multiple functions
- Facilitate workshops to capture current and future state processes
- Produce clear documentation, including business requirements documents, functional specifications, and process maps
- Ensure alignment between business needs and delivered solutions
- Data & Reporting (Power BI)
- Develop and maintain Power BI reports aligned to business requirements
- Build and optimise data models, including DAX calculations and performance tuning
- Ensure data accuracy, consistency, and governance (including row-level security)
- Manage data refresh schedules, gateways, and dataset performance
- Translate complex data into clear, actionable insights
- Collaborate with stakeholders to define KPIs and reporting frameworks
- Process Improvement & Change Support
- Identify opportunities to improve efficiency, standardisation, and data quality
- Support business change initiatives, including system implementations and process improvements
- Develop and maintain process documentation and training materials
- Support end users in adopting new systems and ways of working
- Project & Stakeholder Management
- Collaborate with cross-functional teams including Supply Chain, Finance, Commercial, Operations, Procurement, and IT
- Manage workload and deliverables in line with agreed timelines
- Identify risks and issues, escalating where appropriate with proposed solutions
- Provide regular updates to stakeholders on progress and outcomes
Essential Experience
- Minimum 3 years experience with Power BI, including advanced data modelling, performance optimisation, and reusable datasets
- Proven experience integrating multiple data sources (e.g. SQL, APIs, SharePoint) within an enterprise environment
- Experience working across multiple business functions, ideally including Supply Chain and Commercial
- Strong background in requirements gathering, process mapping, and solution design
Essential Skills & Knowledge
- Strong analytical and problem-solving skills
- Advanced expertise in DAX and Power BI data modelling
- Ability to translate business requirements into clear documentation
- Excellent stakeholder engagement and communication skills
- Understanding of business process improvement methodologies
- Collaborative and inclusive working style
- Strong sense of ownership and accountability
- Proactive, solution-focused mindset
- High attention to detail with the ability to meet deadlines
Desirable Experience
- Knowledge of data structures, data warehousing, or SQL
- Experience within FMCG, manufacturing, or supply chain environments
- Experience working with complex enterprise systems (e.g. ERP platforms)
- Understanding of data visualisation best practices, including dashboard UX/UI
If you are an experienced Data Analyst, looking for a new opportunity, please submit an up to date CV by using the apply button.
Locations
Data Analyst in Bodmin, Cornwall employer: TQR
Join our dynamic team as a Carpenter Multi Trader in Epping, East London, where we prioritise employee well-being and professional growth. Enjoy competitive benefits including a company van, fuel card, and daily expenses, all while working in a supportive environment that values quality craftsmanship and teamwork. With opportunities for skill enhancement and a focus on delivering exceptional service to homeowners, this role offers a rewarding career path in a thriving community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bodmin, Cornwall
✨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 TQR!
✨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 TQR.
✨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 TQR.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at TQR, 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 Bodmin, Cornwall
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 TQR, 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 TQR. 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 TQR
✨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 TQR!
✨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.
