At a Glance
- Tasks: Transform complex data into actionable insights and drive business growth.
- Company: Join a well-established organisation with a growing data team.
- Benefits: Competitive salary, career development, and a supportive work environment.
- Other info: Diverse and inclusive workplace with flexible working options.
- Why this job: Make a real impact by influencing business decisions through data.
- Qualifications: 2+ years in data analysis, strong SQL and Power BI skills.
Are you a naturally curious Data Analyst who enjoys turning complex data into meaningful business insights? We're recruiting for an exciting opportunity to join a growing data team within a well-established, multi-site organisation. This is a newly created position driven by continued growth and increasing demand for data-led decision making across the business.
You'll play a key role in helping stakeholders understand performance, identify opportunities, and make informed commercial decisions through data, reporting, and visualisation.
The Opportunity
Working closely with senior business leaders, you'll be responsible for gathering, analysing and presenting data that drives operational improvements and business growth. You'll have the autonomy to shape reporting processes, develop insightful dashboards and help embed a stronger data culture across the organisation. This role would suit someone who enjoys balancing technical analysis with stakeholder engagement and can translate data into actionable recommendations.
Key Responsibilities
- Analyse, interrogate and interpret complex datasets from multiple sources
- Develop and maintain Power BI dashboards and management reports
- Write and optimise SQL queries to extract meaningful business intelligence
- Present trends, insights, and recommendations to stakeholders across the business
- Support directors and managers in understanding performance metrics
- Identify opportunities to improve processes, efficiencies, and reporting capabilities
- Promote best practices in data management, reporting, and analysis
- Deliver training and guidance to help users become more self-sufficient with data tools
About You
You'll be a calm, logical thinker who enjoys solving problems and uncovering insights from data. You'll have excellent attention to detail and be comfortable working autonomously whilst collaborating with teams across the business.
Essential Skills & Experience
- Minimum 2 years' experience in a Data Analyst or similar analytical role
- Advanced knowledge of SQL and Power BI
- Proven experience producing reports, dashboards, and visualisations
- Strong data manipulation and analysis skills
- Ability to translate complex data into clear business recommendations
- Commercial awareness and understanding of business operations
- Excellent communication and stakeholder management skills
- Strong focus on data accuracy, integrity, and security
Desirable
- Degree in Data Analytics, Computer Science, Information Technology, or a related discipline
What's in it for You?
- Salary of £30,000 - £35,000
- Growing and supportive data team
- Opportunity to influence business decisions through data
- Medicash scheme following successful probation
- Company pension scheme
- Exposure to senior stakeholders and business-critical projects
- Long-term career development opportunities
Working Arrangements
- Full-time, permanent position
- Monday to Friday, 9:00am - 5:00pm
- Office-based role
- Occasional travel to other UK sites (full driving licence required)
If you're passionate about data, enjoy uncovering insights, and want to be part of a business that is investing in its data capability, we'd love to hear from you. Apply today to find out more about this opportunity.
About Us
We are dedicated to fostering a diverse and inclusive community. In line with our Diversity and Inclusion policy, we welcome applications from all qualified individuals, regardless of age, gender, ethnicity, sexual orientation, or disability. As a Disability Confident Employer, and part of the Nicholas Associates Group, we are committed to supporting candidates with disabilities, and we're happy to discuss flexible working options.
We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Nicholas Associates Group of companies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bootle
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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 Stafforce Ports.
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We think you need these skills to ace Data Analyst in Bootle
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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Craft a Tailored Cover Letter:For a full-time role at Stafforce Ports, 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 Stafforce Ports. 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 Stafforce Ports
✨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
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 Stafforce Ports!
✨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.
