At a Glance
- Tasks: Transform complex data into actionable insights and develop impactful reporting solutions.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentor fellow analysts and promote data governance in a dynamic environment.
- Why this job: Make a real impact by optimising business performance through analytics and reporting.
- Qualifications: Experience in data analysis and stakeholder management is essential.
The predicted salary is between 45000 - 55000 £ per year.
Overview
This role will involve transforming complex data into actionable business insights, developing impactful reporting solutions, and supporting data-driven decision-making across the business.
Working closely with stakeholders, you will analyse operational and commercial performance, identify trends and opportunities, and help optimise business performance through analytics and reporting.
As the Senior Data Analyst, you will work within a hybrid working arrangement, with frequent travel to our Andover office.
Your working hours are Monday-Thursday 08:30-17:15, Friday 08:30-13:30.
This is a permanent position.
Responsibilities
- Develop and maintain Power BI dashboards, reports, KPIs, and scorecards to support business decision-making.
- Analyse operational and commercial performance, identifying trends, risks, and opportunities for improvement.
- Improve reporting efficiency through automation and support data quality monitoring initiatives.
- Mentor and support analysts within the team, sharing best practices in reporting, visualisation, and analysis.
- Partner with business stakeholders to define reporting requirements, establish metrics, and present actionable recommendations.
- Support continuous improvement, data transformation, and digital enhancement projects across the organisation.
- Promote data governance standards and help maintain consistent KPI definitions and reporting methodologies.
Qualifications
- Previous experience in data analysis, business intelligence reporting, and stakeholder management.
- Experience within sales or manufacturing environments.
- Knowledge of Microsoft Fabric, Python, or Power BI (desirable).
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Senior Data Analyst in England employer: Stannah
Stannah is an exceptional employer, offering a supportive and family-oriented work culture in Salisbury. With competitive compensation, profit-sharing opportunities, and comprehensive health plans, employees are encouraged to grow and thrive in their roles as Lift Repair Engineers. The autonomy on-site allows for meaningful work, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in England
✨Get Involved in Data Science Meetups
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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 Stannah.
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We think you need these skills to ace Senior Data Analyst in England
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 Stannah, 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 Stannah. 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 Stannah
✨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 Stannah!
✨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.
