Junior Analytics Engineer

Bloom & Wild Group; London; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading gifting company in London seeks a Junior Analytics Engineer to enhance its data infrastructure and support a data-driven business. Candidates should have SQL proficiency, experience with dashboards, and a collaborative spirit. This role offers flexible working, competitive perks, and opportunities for growth in a supportive environment.

Benefits

Flexible working

25 days holiday plus birthday

Volunteering day

Enhanced family leave

Training framework

Staff discounts

Equity options from day 1

Qualifications

• 1-2 years of experience in an analytical engineering or data analytics role.
• Experience designing, building and maintaining dashboards.
• Ability to contribute to the development of data and analytical solutions.

Responsibilities

• Support the data infrastructure to meet business needs.
• Collaborate with Tech & Data Engineering on new feature development.
• Develop robust, well-documented data models and automate where possible.

Skills

Proficiency in SQL

Experience with dashboards

Problem solving skills

Communication skills

Experience with data pipelines

Tools

Tableau

Looker

Python

DBT

Job description

Overview

Hi, we’re Bloom & Wild. We help customers care wildly, celebrating the little things we all do for each other every day. We care about people and our planet and are proud to be a certified B Corp, committed to long-term positive change for our community and the world around us. Founded in 2013, we aim to make sending and receiving flowers a joyful experience by harnessing technology, brand and letterbox delivery. We are expanding from flowers and plants into other gifting categories like cakes, candles and cocktails as part of our ambition to build Europe’s #1 direct-to-consumer gifting destination. This role sits in the Business Intelligence & Analytic s Team @ Bloom & Wild.

Data is at the heart of what we do. Our BI & Analytics team empowers growth by transforming data into actionable insights. We focus on understanding customer behavior, identifying opportunities to delight customers, and using SQL, data visualisation, and rigorous experimentation to uncover trends, predict needs, and test hypotheses. We value collaboration, continuous learning, and a data-driven mindset.

Please note: This role does not currently offer visa sponsorship. Applicants must have the right to work in the UK at the time of application.

What you’ll be doing

• As a Junior Analytics Engineer, you’ll report to the Head of Analytical Engineering and support our fast-paced, data-driven business by ensuring our data infrastructure meets needs.
• Supporting Tech Changes: Evolve our BI data platform, adapt data models and reporting to support evolving tech, collaborate with Tech & Data Engineering on new feature development, and proactively build and maintain data pipelines to support rapid progress.
• Work with the Data Engineering Team to ensure seamless data flow and integrations.
• Optimise Existing Data Models: Understand data across Product, Operations, Finance, Commercial and Marketing; optimise performance, reduce costs, and implement DBT best practices for modularity and incremental builds; monitor pipeline performance.
• Create New Scalable Data Models: Develop robust, well-documented data models; translate analysts’ data needs into efficient structures; utilise DBT and Snowflake daily; drive automation where possible.
• Support AI Usage & Unlock AI Capabilities: Build curated datasets for AI initiatives; explore AI tools to speed up tasks; stay up to date with industry trends to challenge how we do things.

You'll love this role if you are

• Curious about Data — you understand data’s value and use it to drive the business forward.
• A Problem Solver — you enjoy investigating innovative solutions and taking initiative.
• Open & Empathetic — you value diversity and inclusion and are eager to learn from others.
• A Collaborator — you communicate effectively across teams.

We’re looking For

• Must haves
• 1-2 years of experience in an analytical engineering or data analytics role.
• Proficiency in SQL with regular hands-on experience (Mandatory).
• Experience designing, building and maintaining dashboards in Tableau, Looker or Periscope.
• Ability to contribute to the development of data and analytical solutions.
• Problem solving and QA skills for debugging data models and outputs.
• Excellent communication skills and ability to work with multiple stakeholders and cross-functional teams.
• Proactive team member who takes ownership and can balance multiple projects.
• Experience with data pipelines (ELT/ETL concepts) and warehouse knowledge.

• Nice to haves
• Experience using Python for data manipulation.
• Experience using DBT.
• Experience using AI code assistants like GitHub Copilot for SQL and Python.
• Familiarity with AI-driven features in BI platforms (Power BI, Tableau).
• E-commerce experience is a big plus.

Belonging @ Bloom & Wild

We value diversity and inclusion and encourage everyone to share their opinions openly within our caring and inclusive team. Our champions community supports eight pillars of diversity and helps ensure inclusivity is embedded in our ways of working.

Our ways of working

We believe in the power of connection, with some teams in-person daily and others quarterly. We support flexible working to suit the team’s needs. Working from home or the office is decided with your manager. We prioritize collaboration, empathy, knowledge sharing and growth, guided by our values:

• Lead change for good: try new things and do what matters most
• Think deeply, act swiftly: thoughtful rationale and swift execution
• Care wildly: care and creativity in everything we do
• Stay open, be curious: openness and a willingness to challenge each other
• Work that works for you

Perks include flexible working, 25 days holiday plus birthday and bank holidays, volunteering day, enhanced family leave and nursery scheme, training framework, staff discounts, and equity options from day 1. For more information, please see www.bloomandwild.com/careers.

Getting hired

We aim to make the interview experience positive. It is a two-way process, and we’re happy to answer questions to ensure the role is right for you. Apply below. If successful, you’ll have a brief chat with Billy, Senior Talent Manager for Tech; followed by an interview with the Head of Analytical Engineering and a SQL competency test; then a case study and conversations with Em, our Director of BI & Analytics, and another team member; and a final interview with Joe, our CTPO.

Please note: This role does not currently offer visa sponsorship. Applicants must have the right to work in the UK at the time of application.