Lead Data & BI Architect: Tableau Dashboards & Strategy in London

Lead Data & BI Architect: Tableau Dashboards & Strategy in London

London Full-Time 37052 - 45286 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead analytics projects, build BI infrastructure, and create impactful dashboards.
  • Company: Join HelloFresh, a leading meal kit service in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Promote a data-driven culture while working with diverse teams.
  • Why this job: Shape data strategy and drive product improvements in a dynamic environment.
  • Qualifications: Experience in data analysis, BI tools, and strong collaboration skills.

The predicted salary is between 37052 - 45286 £ per year.

Hello Fresh in London is seeking a Lead Analyst to shape the analytical direction, build and maintain our BI infrastructure, and drive key analytical projects.

You will improve data quality and tooling, producing dashboards, datasets and analyses to underpin strategic decisions and guide product improvements in our weekly meal kit service.

Expect to lead on analytics initiatives, collaborate with multiple teams, and promote a strong data culture across the business in a hybrid London role.

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Lead Data & BI Architect: Tableau Dashboards & Strategy in London employer: HelloFresh

HelloFresh in Derby offers a dynamic work environment where employees are valued for their contributions to food safety and quality. With competitive pay, including a night shift uplift, and a strong focus on compliance and continuous improvement, team members have ample opportunities for professional growth and development. The supportive culture fosters collaboration and innovation, making it an excellent place for those seeking meaningful and rewarding employment.

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Contact Details:

HelloFresh Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data & BI Architect: Tableau Dashboards & Strategy 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 HelloFresh!

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 Lead Data & BI Architect: Tableau Dashboards & Strategy at HelloFresh.

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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 HelloFresh.

Apply Directly through Our Website

When you find a suitable opening like Lead Data & BI Architect: Tableau Dashboards & Strategy at HelloFresh, 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 Lead Data & BI Architect: Tableau Dashboards & Strategy in London

Data Analysis
Business Intelligence (BI)
Tableau Dashboards
Data Quality Improvement
Analytical Direction Shaping
Collaboration Skills
Project Leadership

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 HelloFresh, 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 HelloFresh. 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 HelloFresh

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 HelloFresh!

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.