At a Glance
- Tasks: Drive impactful analytics to uncover business opportunities and improve delivery performance.
- Company: Join HIVED, a fast-growing climate and logistics startup revolutionising parcel delivery in Europe.
- Benefits: Competitive salary, flexible working, and a chance to work with top industry talent.
- Other info: Collaborative environment with excellent growth opportunities and cutting-edge technology.
- Why this job: Make a real impact in a dynamic team focused on innovation and sustainability.
- Qualifications: 5+ years in analytics, strong SQL and Python skills, and experience mentoring others.
The predicted salary is between 60000 - 80000 £ 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
Staff Data Analyst (Driver Squad) in London employer: HIVED Ltd
HIVED is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets sustainability. As part of a rapidly growing startup, employees benefit from a collaborative culture that encourages personal and professional growth, with opportunities to work alongside industry leaders and contribute to meaningful projects that redefine parcel delivery. With a focus on analytics excellence and a commitment to empowering team members, HIVED provides a unique platform for those looking to make a significant impact in the logistics sector.
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. This can give you insider knowledge and show your genuine interest in the company.
✨Tip Number 2
Prepare for the interview by diving deep into HIVED's mission and values. Understand their focus on sustainability and how data analytics plays a role in their operations. This will help you tailor your answers and demonstrate that you're not just another candidate, but someone who truly aligns with their goals.
✨Tip Number 3
Showcase your analytical skills during the interview. Be ready to discuss specific projects where you've used data to drive business outcomes. Use examples that highlight your ability to translate complex data into actionable insights, just like the role requires.
✨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 serious about joining the team at HIVED and contributing to their innovative journey.
We think you need these skills to ace Staff Data Analyst (Driver Squad) in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analytics shine through! We want to see how much you care about using data to drive business outcomes and improve processes. Share specific examples of how you've made an impact in previous roles.
Tailor Your Application:Make sure to customise your application for the Staff Data Analyst role. Highlight your experience with SQL, Python, and BI tools like Looker. We love seeing how your skills align with our mission at HIVED, so don’t hold back on showcasing relevant projects!
Be Clear and Concise:We appreciate clarity in communication, especially when it comes to complex analytics. Keep your application straightforward and to the point. Use bullet points if needed to make it easy for us to see your key achievements and skills.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at HIVED!
How to prepare for a job interview at HIVED Ltd
✨Know Your Data Tools
Make sure you’re familiar with the analytics tools mentioned in the job description, like Looker and Python. Brush up on your SQL skills too, as they’ll likely ask you to demonstrate your ability to work with data effectively.
✨Understand the Business Context
HIVED is all about creating impactful analytics that drive business outcomes. Be prepared to discuss how your previous work has translated complex data into actionable insights that benefited the business. Show them you can think beyond numbers!
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be ready to share examples of how you’ve successfully collaborated across different functions. Highlight any experience you have in cross-functional projects to demonstrate your teamwork abilities.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you used data to overcome them. This will show your analytical mindset and ability to create solutions.
