At a Glance
- Tasks: Drive impactful data solutions and develop an analytics platform for a sustainable delivery network.
- 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 passionate team with excellent growth opportunities and fun team events.
- Why this job: Make a real impact in redefining parcel delivery with cutting-edge technology.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience with BI tools.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Senior Analytics Engineer (Dispatch, Driver, Depot) role at HIVED
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 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, 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 are looking for an ambitious, communicative and versatile Senior Analytics Engineer to drive business outcomes through smart and impactful use of data. Our ideal future colleague cares deeply about creating business impact, translating business context and problem statements into the right data solutions, and developing an analytics platform that serves a scaling data team.
We believe in opinionated analytics and creating an edge through intelligent use of tech 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 by embedding them in product‑centered, cross‑functional squads for meaningful business context and encourage taking the 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 organisation.
Your day‑to‑day activities will range from ideating novel solutions to business problems to developing and maintaining meaningful metrics and data models in a sustainable fashion. Along the way you will talk to data producers for data context and roll out your solutions to business users to deliver maximum impact. Wherever you see an opportunity, you will contribute to developing and growing our analytics platform through developing the right tooling, setting standards and defining best practices. Over time you will also support with line management, mentoring and supporting the growth of fellow team members in your area of expertise.
Ways you might move the needle at HIVED:
- Fostering a data‑driven culture and tight collaboration with squad mates across Tech, Product and Data.
- Developing and refining meaningful operational metrics that capture and improve real‑world processes across our operation (think parcel collection, sortation, delivery, driver workflows on the road, driver performance and engagement and much more).
- Supporting the growth of fellow teammates with mentorship and line management.
- Advancing data modelling practices and our analytics platform across the company.
Responsibilities
- Take initiative and translate business context and problem statements into impactful data solutions.
- Develop meaningful data pipelines and establish data modelling best practices.
- Create powerful data products and dashboards that drive business outcomes.
- Collaborate with business users, excite them with your solutions and advance data adoption and literacy in the organisation.
- Over time: line management and mentoring of fellow Analytics Engineers (one or two, not many reports).
- Collaborate with fellow Data team members to grow and improve the analytics platform.
Your Profile
- 5+ years of experience in a similar analytics or data engineer, data science, analyst or business intelligence role.
- Previous mentoring or line management experience.
- A passion for clean, efficient and meaningful SQL queries.
- Previous experience using modern BI tools (we use Looker + LookML).
- Preferably some experience working with Python (pandas/Polars) in a data context.
- Deeply outcome‑focused and analytical mind, great attention to detail.
- A high‑energy and bold communicator who enjoys collaborating across teams from different functions.
Technologies we Use 💻
- Programming languages: SQL, LookML, Python.
- Analytics: Looker, Looker Studio and geospatial analytics tools.
- Development tools and frameworks: dbt, pandas, data‑diff, Elementary (read more about our analytics platform here).
- Data lake and warehouse: BigQuery, Iceberg + BigLake.
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.
- We are named as UK StartUp of the Year 2024.
- Read how HIVED raised $42M to transform parcel delivery with AI and all‑electric logistics network.
- Check the Impact Report 2024.
- Keep up with HIVED ✨ here ✨.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Senior Analytics Engineer (Dispatch, Driver, Depot) in City of 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. With a strong focus on employee growth, we provide tailored development plans, mentorship opportunities, and a culture that encourages taking initiative on impactful projects. Our commitment to sustainability and community engagement, combined with competitive benefits such as generous holiday allowances and health insurance, makes HIVED a rewarding place to build a meaningful career in the rapidly evolving logistics sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer (Dispatch, Driver, Depot) in City of London
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We think you need these skills to ace Senior Analytics Engineer (Dispatch, Driver, Depot) in City of London
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 HIVED, 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 HIVED. 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 HIVED
✨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 HIVED!
✨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.
