Data Analyst

Data Analyst

Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse complex data sets to uncover trends and insights for business growth.
  • Company: Join a forward-thinking company focused on data-driven marketing strategies.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
  • Why this job: Make an impact by transforming data into actionable insights that drive success.
  • Qualifications: Bachelor's degree or relevant experience; proficiency in SQL, Excel, and PowerBI.
  • Other info: Dynamic team environment with room for innovation and career advancement.

The predicted salary is between 28800 - 48000 £ per year.

As Data Analyst, your mission is to analyse data, employ statistical techniques, and manage databases to provide valuable insights into our clients' marketing and growth operations. You'll harness your analytical and technical prowess to uncover trends, patterns, and relationships within extensive datasets, guiding informed decision-making. Your responsibilities also encompass ensuring data accuracy, maintaining data quality, and crafting and implementing analytics systems.

Duties & Responsibilities

  • Analyse complex data sets to extract trends, patterns, and insights to drive business growth.
  • Enhance data quality and maintain data integrity in marketing and sales databases.
  • Stay updated with data mining, transformation, predictive analytics, and machine learning trends, applying them to improve marketing insights and use data mining to extract information, identify correlations, and predict trends.
  • Perform statistical analysis and visualise data effectively.
  • Develop predictive analytics models using machine learning techniques.
  • Prepare and present reports, identifying cost-saving opportunities.
  • Monitor data quality and communicate with stakeholders.

Person Specification

Essential

  • Bachelor's degree in relevant fields or relevant commercial experience.
  • Proficiency in SQL, Excel, PowerBI and data analysis tools.
  • Strong problem-solving skills and working with large datasets.
  • Excellent communication skills.
  • Attention to detail and ability to work independently.

Desirable

  • Familiarity with data visualisation tools outside of Power BI.
  • Knowledge of data warehousing and modeling concepts.
  • Proficiency in statistical programming languages like R and Python.
  • Experience with data integration and ETL tools.
  • Knowledge of machine learning algorithms and techniques.

Data Analyst employer: Ventura UK Technologies Ltd

As a Data Analyst at our company, you will thrive in a dynamic and collaborative work environment that prioritises innovation and professional growth. We offer comprehensive training programmes, mentorship opportunities, and a culture that encourages continuous learning, ensuring you stay at the forefront of data analytics trends. Located in a vibrant area, our office provides a stimulating atmosphere where your contributions directly impact our clients' success, making this an ideal place for those seeking meaningful and rewarding employment.
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Contact Detail:

Ventura UK Technologies Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨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 datasets to demonstrate your ability to extract insights and visualise data effectively. This will make you stand out during interviews.

✨Tip Number 3

Prepare for interviews by brushing up on common data analysis questions and techniques. Be ready to discuss your experience with SQL, Excel, and any other tools mentioned in the job description. Practice makes perfect!

✨Tip Number 4

Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it shows you’re genuinely interested in being part of our team.

We think you need these skills to ace Data Analyst

Data Analysis
Statistical Techniques
Database Management
Data Quality Assurance
Data Mining
Predictive Analytics
Machine Learning
SQL
Excel
PowerBI
Data Visualisation
Problem-Solving Skills
Communication Skills
Attention to Detail
Data Integration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Excel, and any data analysis tools you've used. We want to see how your skills match up with what we're looking for!

Showcase Your Projects: If you've worked on any relevant projects, whether in school or at a previous job, make sure to include them! We love seeing real examples of how you've analysed data and provided insights.

Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Ventura UK Technologies Ltd

✨Know Your Data Tools

Make sure you're well-versed in SQL, Excel, and PowerBI. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your technical prowess will show that you're the right fit for the role.

✨Showcase Your Analytical Skills

Prepare examples of how you've analysed complex datasets in the past. Be ready to explain the trends and insights you uncovered and how they contributed to business growth. This will highlight your problem-solving abilities and analytical mindset.

✨Stay Current with Trends

Familiarise yourself with the latest in data mining, predictive analytics, and machine learning. Mention any recent projects or learning experiences related to these areas during the interview. This shows your commitment to staying updated and your enthusiasm for the field.

✨Communicate Clearly

Practice explaining your findings and analyses in a clear and concise manner. You’ll need to present reports and communicate with stakeholders, so being able to articulate your insights effectively is crucial. Consider doing mock interviews to refine your communication skills.

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