Data Analyst - Dashboards, ETL & AI Insights in London

Data Analyst - Dashboards, ETL & AI Insights in London

London Full-Time 31500 - 38500 £ / year (est.) On-site
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At a Glance

  • Tasks: Transform complex e-commerce data into actionable insights and build optimised dashboards.
  • Company: Leading digital commerce company at the forefront of innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on cutting-edge technology and career advancement.
  • Why this job: Dive into data analytics and AI projects that drive real business decisions.
  • Qualifications: Experience in data analysis, dashboard creation, and familiarity with BI tools.

The predicted salary is between 31500 - 38500 £ per year.

Profitero+ is a leading company in the field of digital commerce. As a Data Analyst, you will transform complex e-commerce data into reliable analytical solutions that help clients make informed decisions. The candidate will build and optimise dashboards, develop ETL processes, and work with modern BI tools and cloud data warehouses, including Snowflake and dbt, as well as participate in AI/ML technology projects.

Data Analyst - Dashboards, ETL & AI Insights in London employer: Profitero+

Profitero+ is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Greater London. With a strong commitment to employee development, they provide ample opportunities for growth in AI and machine learning, alongside a flexible hybrid working model that promotes work-life balance. Joining Profitero+ means being part of a diverse team dedicated to pushing the boundaries of technology while enjoying a supportive and dynamic work environment.

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Contact Details:

Profitero+ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Dashboards, ETL & AI Insights in London

✨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 Profitero+!

✨Show Off Your Projects

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 Analyst - Dashboards, ETL & AI Insights at Profitero+.

✨Leverage Professional Networks

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 Profitero+.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst - Dashboards, ETL & AI Insights at Profitero+, 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 Analyst - Dashboards, ETL & AI Insights in London

Data Analysis
Dashboard Development
ETL Processes
Business Intelligence Tools
Cloud Data Warehousing
Snowflake
dbt

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 Profitero+, 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 Profitero+. 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 Profitero+

✨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 Profitero+!

✨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.