At a Glance
- Tasks: Conduct statistical analyses and transform data into actionable insights for strategic decisions.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by turning complex data into clear recommendations.
- Qualifications: Bachelor’s degree in a relevant field and 5+ years of data analysis experience.
The predicted salary is between 45000 - 55000 £ per year.
Conducts statistical and data analyses to support reports, publications, and business decisions. Applies advanced statistical programming and biostatistical methods using tools such as R, Python, or SAS. Interprets data to generate actionable insights, improve operational efficiency, and support strategic planning. Identifies trends and innovative findings to inform solution design and product development. Collaborates with teams and stakeholders to translate complex datasets into clear recommendations. Ensures data quality, accuracy, and compliance across all reporting processes.
As a Data Analyst, the role is central to the collection, interpretation, and transformation of data into actionable insights that drive strategic and operational decisions. It involves working across the full analytics lifecycle – from data acquisition and cleansing to modelling, visualisation, and reporting – with a strong focus on statistical analysis, business intelligence, and cross‑functional collaboration.
Key Responsibilities- Conduct statistical analyses and build data models to support reports, publications, and decision‑making.
- Perform advanced programming and quantitative analysis using tools such as Python, R, or SAS.
- Interpret and present data insights through visual dashboards, performance reports, and stakeholder briefings.
- Identify trends, correlations, and patterns that inform product development, operational improvements, and strategic initiatives.
- Collaborate with business teams to translate complex datasets into practical, actionable recommendations.
- Ensure data accuracy, consistency, and compliance in collection, processing, storage, and reporting.
- Create automated reporting solutions and maintain dashboards using BI tools (e.g., Power BI, Tableau).
- Support data‑driven forecasting, KPI measurement, and performance tracking.
- Contribute to problem‑solving initiatives by applying statistical reasoning and analytical thinking.
- Document analytical processes and support user adoption through clear communication and knowledge sharing.
- Python, R, or SAS (for statistical programming and modelling)
- SQL and relational databases (e.g., MySQL, PostgreSQL)
- Excel (advanced functions, pivot tables, macros if applicable)
- Data cleaning and ETL processes
- Optional: Experience with big data platforms (e.g., Hadoop, Spark) or cloud analytics tools
- Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, Mathematics, or a related field
- 5+ years’ experience in a data analysis or business intelligence role
- Proven ability to interpret, model, and present data insights to technical and non‑technical audiences
- Experience in applying data insights to drive business improvement, product development, or operational efficiency
DATA ANALYSTS in Manchester employer: i5 Solutions Europe Limited
As a leading employer in the data analytics field, we offer a dynamic work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a culture that values diverse perspectives, ensuring that our Data Analysts can thrive and make impactful contributions. Located in a vibrant area, we provide a supportive atmosphere where your analytical skills can shine, driving meaningful change within the organisation.
Contact Details:
i5 Solutions Europe Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land DATA ANALYSTS in Manchester
✨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 i5 Solutions Europe Limited!
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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 ANALYSTS at i5 Solutions Europe Limited.
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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 i5 Solutions Europe Limited.
✨Apply Directly through Our Website
When you find a suitable opening like DATA ANALYSTS at i5 Solutions Europe Limited, 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 ANALYSTS in Manchester
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 i5 Solutions Europe Limited, 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 i5 Solutions Europe Limited. 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 i5 Solutions Europe Limited
✨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 i5 Solutions Europe Limited!
✨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.
