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For Companies At a Glance
- Tasks: Gather, process, and interpret data to help organisations make informed decisions.
- Company: Join a forward-thinking company that values data-driven insights.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by uncovering insights from data and collaborating with diverse teams.
- Qualifications: Strong analytical skills, proficiency in Python or R, and experience with SQL.
- Other info: Dynamic work environment with excellent career advancement opportunities.
The predicted salary is between 28000 - 45000 £ per year.
A Data Analyst (IT Focus) works with digital information and technology systems to gather, process, and interpret data. Their main goal is to help organisations make informed decisions by identifying trends, patterns, and insights from large sets of data. This involves using specialised software, writing code to clean and analyse data, and creating reports or visualisations to communicate findings. Data analysts often work alongside IT teams, business managers, and other stakeholders, playing a key role in business intelligence and strategy. Strong skills in mathematics, logical thinking, and computer programming are important for this role, as is attention to detail.
Key Responsibilities
- Collect, organise, and clean large volumes of data from various sources.
- Analyse data using statistical, programming, and BI tools to uncover insights.
- Develop reports, dashboards, and visualisations that communicate findings to business stakeholders.
- Collaborate with IT teams, business managers, and other stakeholders to identify data needs and opportunities for improvement.
- Ensure data quality, integrity, and security throughout the analysis life‐cycle.
Required Skills and Qualifications
- Strong quantitative and analytical skills (maths, statistics).
- Proficiency in programming languages such as Python or R for data cleaning and analysis.
- Experience with SQL and relational database concepts.
- Familiarity with data visualisation tools (Power BI, Tableau, or equivalent).
- Excellent communication skills and ability to present complex data in clear, engaging formats.
- Attention to detail and a thorough approach to data handling.
- Academic background in maths, statistics, computer science, data science, or a related field is preferred.
How to Become a Data Analyst (IT Focus)
- Complete a university degree in Computer Science, Data Science, Mathematics, or related subjects.
- Gain practical experience via internships, apprenticeships, or work placements with IT or business intelligence teams.
- Develop proficiency in SQL, Python, and data visualisation tools through courses, certifications, or personal projects.
- Build a portfolio of data analysis projects that demonstrate problem‐solving and storytelling with data.
- Apply for entry‐level data analyst positions in IT, finance, or technology sectors.
Sample Qualifications
A Data Analyst (IT Focus) primarily processes and interprets data to support organisational decision‐making, which aligns closely with the responsibilities of a Business Analyst. Both roles focus on analysing data to improve business processes and outcomes, although a Business Analyst often takes a broader perspective on business needs and solutions.
Salary Range
The average salary for a Data Analyst in the UK is between £28,000 and £45,000 per year, depending on experience and location.
Data Analyst (IT Focus) in London employer: Developing Experts Ltd
Contact Detail:
Developing Experts Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (IT Focus) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've solved problems with data – this will make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and data visualisation tools. Practise explaining complex data concepts in simple terms – communication is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities for Data Analysts (IT Focus) that could be perfect for you. Keep an eye on our listings and get your application in!
We think you need these skills to ace Data Analyst (IT Focus) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst (IT Focus) role. Highlight your skills in programming languages like Python or R, and showcase any experience with SQL and data visualisation tools. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills can help us at StudySmarter. Be sure to mention any relevant projects or experiences that demonstrate your analytical prowess.
Showcase Your Projects: If you've worked on any data analysis projects, make sure to include them in your application. Whether it's a personal project or something from an internship, we love seeing how you've applied your skills in real-world scenarios. A portfolio can really set you apart!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details about the role and our company culture there!
How to prepare for a job interview at Developing Experts Ltd
✨Know Your Data Tools
Make sure you’re familiar with the specific tools mentioned in the job description, like SQL, Python, and data visualisation software. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare to demonstrate your quantitative and analytical skills during the interview. Think of examples where you've successfully analysed data to uncover insights or solve problems, and be ready to explain your thought process.
✨Communicate Clearly
Since communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present a past project, so ensure you can convey your findings in an engaging way that resonates with non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the data challenges the company faces or how they use data to drive decisions. This shows your interest in the role and helps you understand if it’s the right fit for you.
