Relay Technologies on cord

Relay Technologies

Data Analyst

External position
London, UK
Hiring internally for Relay Technologies?
Logistics · E-Commerce
Re-wiring delivery infrastructure, enabling retailers to supercharge their e-commerce growth
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data/Insight Analyst
Experience level: Mid, Senior
Core skills considered: Data Analysis, SQL, Data Visualisation, Business Analysis, Data Modeling
Other skills considered: Data Pipelines, Data Warehousing, Data Mining, Data Protection, Privacy

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 1 remote day p/w)
Visa sponsorship: Not available

Job Description

Relay is a parcel delivery network. Every night, parcels from online retailers arrive at our sort centres, are sorted into delivery routes, and go out the next day with couriers. Two things have to go right for that to work.

Routing is the planning side: software that decides, before parcels have even arrived, which ones to expect, how to group them into routes, and how to make those routes efficient for couriers to drive. Sortation is the physical side: warehouse teams and sorting robots turning a building full of parcels into neatly separated routes, thousands of times a night.

The two are tightly coupled. If the plan expects a parcel that never arrives, a courier's route has a hole in it. If the warehouse sorts a parcel the plan didn't expect, it has nowhere to go. This role owns the analytics across both: spotting when either side is off, working out why, and building the case for what to change.

Your work splits between a daily operational rhythm (is the network healthy this morning, and if not, why) and deeper investigations (what is driving cost, where is the plan falling short of what's possible, what should we change). Your analysis won't sit in a dashboard waiting to be discovered - it will change which parcels get planned for, how warehouse shifts are scheduled, and where the operation focuses its improvement efforts.

Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into teams across the business. You will sit with the Routing & Sortation teams but report into the central data team, working daily with software engineers, warehouse operations, commercial, and finance.


What You'll Do

Routing

  • Monitor the health of each night's route plans: how many parcels each route carries (planned vs what actually happened), how far couriers travel before their first delivery, and the routes no courier should ever be handed - a single parcel stranded miles from every other stop, or one route torn between two towns - and diagnose the cause when any of it moves
  • Track how well we predict which parcels will arrive each night: when expected parcels don't show up, or unexpected ones do, work out whether the cause was the retailer's data, a warehouse error, or timing, and improve the prediction rules client by client
  • Act on what you find: flag issues to warehouse managers and retailer-facing teams, and correct the plan when a retailer's parcels arrive outside the normal flow
  • Monitor the route optimisation engine itself and flag regressions when the software or its inputs change
  • Quantify how route design affects courier productivity: deliveries per hour, stops per route, distance between drops - and how far our actual routes sit from the best theoretically possible
  • Build the reporting that diagnoses the middle leg of the network: the van journeys that move sorted parcels from sort centres out to local pick-up points where couriers collect them
  • Partner with the engineers who build the routing systems to test and validate changes

Sortation

  • Investigate cost per parcel: where are we spending too much, where are savings available, and what's driving the variance
  • Track warehouse operative performance: throughput, accuracy, shift utilisation, and the balance between permanent and agency labour
  • Monitor sorting robot efficiency and capacity: what volumes can they sustain, where are the bottlenecks, how do they compare to manual sorting
  • Build models to predict how many operatives each shift needs, and help automate workforce planning around the best performers
  • Compare the parcel volumes retailers actually send us against what they told us to expect, and find where the gaps come from
  • Define KPIs and build dashboards that make routing and sortation performance transparent to operations and leadership
  • Work with commercial teams to set volume limits and delivery timings that balance growth with operational stability

Who Will Thrive in This Role?

  • You want to understand how an operation actually works, not just analyse it from a distance
  • You're comfortable being the person operations and engineering ping first when something looks off in the morning, and you enjoy the detective work of finding out why
  • You're excited by cost and efficiency problems - finding where money or time is leaking and building the case for how to fix it
  • You can navigate messy operational data and turn it into metrics people trust
  • You know how to take a large amount of complex data and visualise it in a way people can actually digest - your dashboards tell someone what to look at and why, rather than presenting every number you have
  • You're comfortable working with operations teams and embedding your analysis into their daily workflows
  • You're fluent in SQL and experienced with BI tools, with strong problem-solving instincts
  • You have at least 3 years experience, ideally with some exposure to logistics or another physical operation
  • You care about impact, not just insight - you measure success by whether the operation runs better
  • You communicate clearly with non-technical stakeholders and can explain what the data shows and where the limitations are
Data Analyst at Relay Technologies
Position posted 2 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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