Staff Data Analyst (Driver Squad) in London

Staff Data Analyst (Driver Squad) in London

London Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
HIVED

At a Glance

  • Tasks: Drive impactful analytics to uncover business opportunities and enhance delivery performance.
  • Company: Join HIVED, a fast-growing climate and logistics startup in London.
  • Benefits: Enjoy a dynamic hybrid work environment, competitive salary, and generous holiday allowance.
  • Other info: Be part of a mission-driven team focused on innovation and excellence.
  • Why this job: Make a real impact in sustainable delivery while collaborating with top talent.
  • Qualifications: 5+ years in analytics, strong SQL and Python skills, and experience mentoring others.

The predicted salary is between 60000 - 75000 £ per year.

About HIVED 📦 At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing. Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery.

A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.

Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight-knit team is made up of ex-Revolut, DeepMind, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, NordicNinja VC and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role overview 📝 We're looking for a sharp, business-savvy Staff Data Analyst to drive business outcomes through impactful analytics within our Driver Squad. Our ideal future colleague cares deeply about creating business impact, translating business context and complex analytics into actionable insights and collaborating fluidly across teams Product, Tech, Data as well as Operations and Finance stakeholders.

Team structure We believe in opinionated analytics and creating an edge through intelligent use of technology and data in an industry that has been stuck in its ways for too long - for better or worse. That’s why we empower our growing team of engineers, data and product folks by embedding them in domain-centered, cross-functional squads for meaningful business context. They take initiative for impactful projects from day one. We hone our craft and grow our skills as data professionals through functional reporting lines and regular catch-ups and knowledge sharing sessions across the Data and wider “HIVEDmind” organisation (= Tech + Data + Product + AI&Automations).

Day-to-day activities In your day-to-day you will come up with innovative solutions to business problems and identify new (product) opportunities using data analytics. You will define meaningful KPIs and metrics and capture them in data models and reports. Being embedded in the Driver Squad, you will work closely with your team mates across Tech and Product to deliver performance and efficiency insights and inform the squad’s roadmap. You will also collaborate deeply with stakeholders beyond your squad to find efficiency gains and opportunities in our data and processes.

How you create impact The Driver Squad’s mission is to create the industry’s leading delivery operation, identifying and incentivising the best delivery performance across both cost efficiency and delivery quality. You will be leading the squad’s work across Driver Pay, Driver Performance and Incentivisation analytics, identifying opportunities for technological innovation all the way through to internal performance and process improvements.

Line management While this role is focussed mostly on individual contributions, you will also take line management responsibility for 1-2 Analytics (Engineering) professionals within your team. This role reports directly into the VP Data.

Responsibilities 📋 Uncover business and product opportunities through robust analytics in a highly complex domain, translating technical insights with clarity for any audience. Shape data-driven decision-making across your squad and the wider operation; develop actionable performance metrics that move the needle. Size and measure the impact of ongoing initiatives and innovations. Build powerful data models and products that deliver actionable insights to your teammates. Line-manage 1-2 Analytics (Engineering) professionals: empower them through clear feedback, meaningful coaching, and leading by example. Raise the bar: role-model analytical rigour and smart pragmatism to shape analytics excellence across the company.

Your profile 👤 5+ years of experience in a similar analytics, analytics engineering, business intelligence or data science role. Experience line managing or mentoring other data professionals. A passion for clean, efficient and meaningful SQL queries and Python notebooks. Previous experience using modern BI tools (we use Looker + LookML). AI-savvy to scale yourself and your impact. Deeply outcome-focussed with an analytical mind and the necessary pragmatism to balance rigour with speed. A high-energy and bold communicator who enjoys collaborating across teams from different functions.

Technologies we use 💻 Analytics: Looker, Data Studio, Python notebooks and geospatial analytics tools. Programming languages: Python, SQL. Data transformation and data quality: dbt, pandas/ polars, data-diff, Elementary. Core data platform: Dagster, dlt and Airbyte, BigQuery, Lakehouse for Iceberg. Infrastructure: Cloud Run, Cloud Storage, GKE (Google Kubernetes Engine), Terraform.

Our interviewing process 🪜 Intro call, SQL live coding task (real, anonymised data in a SQL editor), Analytics take-home task and review, On-site interview at our Shoreditch HQ (role and culture).

Our values 💛😊 We Are Kind - Kind to the planet, our team and our partners. We listen with purpose, leave our egos at the door and aren't afraid to make difficult decisions. We must never confuse kindness with being "nice" - it requires us to be fair, consistent, honest, thoughtful and compassionate. 🤝 We Are Tenacious - We fight every day to keep the customer promise, for every parcel entrusted to us. No matter how hard it gets or whatever stands in our way, we are relentless in our pursuit of excellence. 💡 We Are Curious - We never settle, constantly challenge convention and are never afraid to ask why. We believe there is always more to learn, always a better way, and that we're always only just getting started. We never fight the urge to be inquisitive, to understand the world around us and to explore where others might not. 🌍 We Are Resourceful - Our planet's resources are scarce and our future depends on our ability to use them wisely. Waste is the enemy. We strive to do more with less, be more efficient and make the most of what we have.

How we reward our team 🎁 Dynamic hybrid working environment with a diverse and driven team. Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role. 25 days of holiday allowance plus public holidays. 1 Birthday Day Off + 2 Tenure-Based Additional Days Off. Subsidised Private Medical Insurance including dental, vision & mental health therapy. Bi-annual performance reviews and tailored development plans. Competitive salary + EMI options scheme. Annual compensation review. Team lunch provided once a week. Quarterly team socials and annual sports day (HIVED Olympics). Enhanced maternity/paternity/adoption policy as day 1 right. Community volunteer days. Cycle to work scheme. Dog friendly office and depots. MacBook Air or Windows Laptop (depending on your preference).

Want to learn more? 🔍🎥 Meet the team in 60 seconds: Behind the scenes with HIVED. HIVED is B Corporation certified. HIVED is #7 on The Sunday Times Tech 100. Read how HIVED raised $42M to transform parcel delivery with AI and all-electric logistics network. Check the Impact Reports for 2024 and 2025. Keep up with HIVED ✨ here ✨

Staff Data Analyst (Driver Squad) in London employer: HIVED

HIVED is an exceptional employer, offering a dynamic hybrid working environment in London that fosters innovation and collaboration among a diverse team of talented professionals. With a strong focus on employee growth, we provide ample learning opportunities, competitive benefits including subsidised private medical insurance, and a supportive culture that values kindness, tenacity, curiosity, and resourcefulness. Join us to make a meaningful impact in the sustainable logistics sector while enjoying a vibrant workplace that celebrates achievements and encourages personal development.

HIVED

Contact Details:

HIVED Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Data Analyst (Driver Squad) in London

Tip Number 1

Network like a pro! Reach out to current employees at HIVED on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!

Tip Number 2

Prepare for the SQL live coding task by brushing up on your SQL skills. Practice with real datasets and try to solve problems similar to what you might encounter at HIVED. The more comfortable you are, the better you'll perform!

Tip Number 3

Show off your analytical prowess during the interview! Be ready to discuss how you've used data to drive business outcomes in the past. Use specific examples that highlight your impact and problem-solving skills.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the HIVED team!

We think you need these skills to ace Staff Data Analyst (Driver Squad) in London

Data Analytics
SQL
Python
Business Intelligence
Looker
LookML
Data Modelling

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Data Analyst role. Highlight your experience with analytics, SQL, and Python, and show how your skills align with our mission at HIVED.

Showcase Your Impact:When detailing your past roles, focus on the impact you've made through data analytics. Use specific examples of how your insights led to business improvements or innovative solutions.

Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and ensure your key achievements stand out.

Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be in the right hands, and we can get back to you quicker!

How to prepare for a job interview at HIVED

Know Your Data Tools

Familiarise yourself with the specific tools mentioned in the job description, like Looker and SQL. Be ready to discuss how you've used these tools in past roles to drive business outcomes and improve processes.

Showcase Your Analytical Mindset

Prepare examples of how you've translated complex data into actionable insights. Think about times when your analysis led to significant business decisions or improvements, especially in a fast-paced environment.

Emphasise Collaboration Skills

Since this role involves working closely with various teams, be prepared to share experiences where you successfully collaborated across functions. Highlight your communication style and how it helped achieve common goals.

Demonstrate Your Curiosity

HIVED values curiosity, so come equipped with questions about their operations and analytics processes. Show that you're eager to learn and challenge conventions, which aligns with their company culture.