Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Analyst

Wild
City of London
2 days ago
Create job alert
About Us

Hi there We’re Wild. We’re on a mission to remove single-use plastic from the bathroom, armed with our refillable, natural and scent-sational deodorants, body wash, haircare and lip balm – and we’ve only just started. We launched in 2020 and as a high-growth company, we’re already one of Europe’s fastest-growing start-ups. So, fancy coming along for the ride?

The Role

We’re looking for a driven, fast-moving Junior Data Analyst to join our data team. The hybrid role combines the responsibilities of a Data Analyst and Analytics Engineer — the ideal role, some might say. You’ll be hands-on with dbt, SQL, and visualisation tools, and play a key role in shaping how data flows through the business.

You’ll need to grasp concepts quickly, deliver high-quality outputs at pace, and stay focused on the business objective — not just the technical detail. If you are someone who can debug efficiently, translate logic into code without friction, and communicate clearly with stakeholders, we want to hear from you. This is a junior role.

Responsibilities
  • Analytics Engineering: Build and maintain ELT pipelines, preparing data in digestible formats to support all parts of the business
  • Modelling using dbt to transform raw data into usable and reliable data tables and dashboards
  • Ensure data accuracy, reliability and quality
  • Bug fixing across the pipeline
  • Data Analyst: Deliver ad hoc analysis on product performance, churn, margin, LTV, and COGS
  • Engage with stakeholders such as supply chain, marketing, and retail to understand needs
  • Translate business logic into code to capture key metrics
What we need from you
  • 1 - 3 years in data analytics, in an e-commerce business
  • Advanced SQL skills (complex joins, CTEs, window functions)
  • Modern Data Stack experience — particularly dbt — essential
  • Data visualisation experience (ThoughtSpot preferred; Tableau/Power BI acceptable)
  • Data warehouse experience (Snowflake, BigQuery, etc — essential)
  • Data ingestion exposure/data engineering experience (ideally Fivetran)
  • GitHub experience
  • Effective verbal and written communication, with ability to convey information clearly
  • Stakeholder management
Traits
  • Strong problem-solving ability with the skill to break complex problems into logical steps
  • Result-driven mindset, able to adapt in chaos and improve processes
  • Growth mindset — eager to learn and tackle problems
  • Ability to manage multiple tasks/projects simultaneously
  • Ability to communicate complex problems and analysis simply to technical and non-technical stakeholders
What you’ll get from us
  • 25 days holidays + bank holidays + 9 extra remote working days
  • Hybrid working, 3 days a week in our London office
  • 4% Company Pension
  • Mental well-being support through Spill
  • Private healthcare through Vitality
  • Weekly early finishes and social events
  • Annual learning & development budget
  • Free breakfast
  • Free & discounted Wild products
  • 2 x team volunteering days and 2 x personal volunteering days

Ready to become a Wild thing?!

At Wild, we know that diversity drives innovation and creativity. We are committed to creating and maintaining a workplace where all employees feel valued and empowered to bring their most authentic selves to work. We recognise that diversity goes beyond visible differences and encompasses a broad spectrum of backgrounds, experiences, perspectives, and abilities. We encourage individuals from all backgrounds to apply.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Personal Care Product Manufacturing


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.