Data Analyst: Turn Data into Growth Insights in London

Data Analyst: Turn Data into Growth Insights in London

London Full-Time 35000 - 42000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data, build dashboards, and generate insights to drive business growth.
  • Company: Fast-growing scale-up focused on data-driven decision making.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Join a dynamic team and enhance your analytical skills in a supportive environment.
  • Why this job: Make a real impact by turning data into actionable insights for various teams.
  • Qualifications: 2-4 years in data analysis, strong skills in SQL, Excel, and data visualisation tools.

The predicted salary is between 35000 - 42000 £ per year.

A fast-growing scale-up using data to drive smarter decisions and unlock growth.

The Data Analyst will play a key role in helping the business make better decisions through data. You’ll analyse datasets, build dashboards, and generate insights that support teams across the organisation. This role involves working closely with product, marketing, and commercial teams to understand performance, identify opportunities, and translate data into actionable recommendations. You’ll also help improve how the business collects, manages, and uses data, ensuring teams have reliable insights to guide their strategy.

Key responsibilities:
  • Analyse datasets to identify trends, patterns, and growth opportunities
  • Build dashboards and reports that track key business metrics
  • Work with stakeholders across teams to answer data-driven questions
  • Translate complex data into clear insights and recommendations
  • Write queries and extract data from databases using SQL
  • Support experimentation and performance analysis for marketing and product initiatives
  • Ensure data quality and help improve internal data processes
  • Present findings and insights to internal stakeholders
What we’re looking for:
  • 2–4 years of experience in data analysis or analytics roles
  • Strong analytical and problem-solving skills
  • Proficiency with Excel, SQL, and data analysis tools
  • Experience with data visualisation tools such as Tableau, Power BI, or Looker
  • Ability to communicate complex insights clearly to non-technical teams
  • Strong attention to detail and curiosity about business performance
  • Experience working with large datasets or multiple data sources
  • Bachelor’s degree in data, statistics, economics, maths, computer science, or a related field (or equivalent experience)

Data Analyst: Turn Data into Growth Insights in London employer: ivee

Join a dynamic scale-up that prioritises data-driven decision-making and fosters a collaborative work culture. As a Data Analyst, you'll have the opportunity to work closely with diverse teams, enhancing your skills while contributing to meaningful projects that drive growth. With a focus on employee development and innovative practices, this company offers a unique environment where your insights can truly make an impact.

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Contact Details:

ivee Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst: Turn Data into Growth Insights in London

Tip Number 1

Get your profile sorted on the ivee platform! It’s super easy – just click apply, create your account, and upload your CV. The more complete your profile, the better Scout can match you with roles that fit your skills.

Tip Number 2

Don’t underestimate the power of networking! Reach out to people in your field, join relevant groups, and engage in conversations. You never know who might have a lead on your next big opportunity.

Tip Number 3

Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss your experience with SQL, Excel, and any data visualisation tools you’ve used. Show them how you can turn data into actionable insights!

Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company.

We think you need these skills to ace Data Analyst: Turn Data into Growth Insights in London

Data Analysis
SQL
Excel
Data Visualisation
Tableau
Power BI
Looker

Some tips for your application 🫡

Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your data analysis experience, especially with tools like SQL and Excel. Tailor it to showcase how your skills align with the role of Data Analyst.

Write a Short Bio that Stands Out:When writing your bio, keep it concise but impactful. Share your passion for data and how you've used it to drive growth in previous roles. This is your chance to show us your personality!

Be Clear and Concise:In both your CV and bio, clarity is key. Avoid jargon and ensure your insights are easy to understand. Remember, we want to see how you can communicate complex data to non-technical teams.

Apply Through Our Website:Don’t forget to apply through our website! It’s super easy—just create your ivee account, complete your profile, and upload your CV. We’re excited to see what you bring to the table!

How to prepare for a job interview at ivee

Know Your Data Tools

Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Excel, and data visualisation software. Brush up on your skills and be ready to discuss how you've used these tools in past roles to drive insights.

Prepare Real-World Examples

Think of specific projects where you’ve analysed data to uncover trends or growth opportunities. Be ready to share these examples during the interview, highlighting your analytical process and the impact of your findings on business decisions.

Understand the Business Context

Research the company and its industry to understand their challenges and opportunities. This will help you tailor your responses and demonstrate how your skills can directly contribute to their goals.

Practice Clear Communication

Since you'll need to present complex data insights to non-technical teams, practice explaining your past analyses in simple terms. This will show that you can bridge the gap between data and actionable recommendations effectively.