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- Tasks: Analyse large datasets to provide actionable insights for business decisions.
- Company: Join a dynamic team in a leading data-driven company.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Turn data into strategic solutions and make a real impact on business success.
- Qualifications: Experience with data analytics tools and strong analytical skills required.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that support business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and a passion for turning data into strategic solutions.
Qualifications:
- B.E/B.Tech/MSc
- Experience: 3-5 Years
Job Responsibilities:
- Collect and organize raw data from various sources, including databases, APIs, and spreadsheets.
- Clean, preprocess, and validate data to ensure accuracy and reliability.
- Maintain and update data pipelines and repositories.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and relationships.
- Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or Excel.
- Work closely with cross-functional teams, including marketing, operations, and product development, to understand data needs and deliver solutions.
- Support decision-making processes by providing timely and accurate data insights.
Skills Required:
- Proficiency in data analytics tools such as Python, R, or SQL.
- 2+ years hands-on experience with data visualization platforms Tableau, Power BI, or Excel.
- Ability to manage multiple projects and meet deadlines.
- Excellent communication skills, with the ability to explain data insights to non-technical audiences.
- Proven experience in data analysis or a related role.
Da Data Analyst London, Uk in England employer: Honey Consultancy Ltd
Contact Detail:
Honey Consultancy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Da Data Analyst London, Uk in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts 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 projects, visualisations, and any dashboards you've built. This is your chance to demonstrate how you turn raw data into actionable insights, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data analysis questions. Be ready to discuss your experience with tools like Python, R, and Tableau, and how you've used them to solve real-world problems.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight how your skills align with our needs, and let’s make data magic together!
We think you need these skills to ace Da Data Analyst London, Uk in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the job description. We want to see how your background in data analytics aligns with our needs, so don’t be shy about showcasing your relevant projects!
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 you can contribute to our team. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Technical Skills: Since we’re looking for someone with proficiency in tools like Python, R, and SQL, make sure to mention any specific projects or experiences where you’ve used these skills. We want to know how you’ve turned data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Honey Consultancy Ltd
✨Know Your Data Tools
Make sure you brush up on your skills with data analytics tools like Python, R, and SQL. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Visualisation Skills
Prepare to talk about your experience with data visualisation platforms like Tableau or Power BI. Bring examples of dashboards or reports you've created, and be ready to explain the insights they provided and how they influenced decision-making.
✨Understand the Business Context
Research the company and its industry to understand their data needs. Think about how your analytical skills can support their business decisions and be prepared to discuss how you would approach specific challenges they might face.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You may be asked to present findings to non-technical audiences, so being able to communicate effectively is key. Use examples from your past experiences to demonstrate your ability to bridge the gap between data and actionable insights.
