Numan on cord

Numan

Senior Analytics Engineer

External position
London, UK
Hiring internally for Numan?
HealthTech · Wellness · E-Commerce
Digital healthcare for men.
Active
over 6 months ago
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: SQL, dbt, Looker, Data Modeling
Other skills considered: Stakeholder Management, CI/CD, Data Pipelines

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
Visa sponsorship: Not available

Job Description

As Numan enters an exciting new chapter of AI-powered analytics, we're looking for a Senior Analytics Engineer to sit at the core of our data platform and drive better decisions across the entire business.

This is one of the most varied analytics engineering roles in digital health. Your work will span multiple domains - from commercial performance and marketing effectiveness through to health outcomes analytics and clinical operations - giving you a genuinely broad view of the business and the full patient journey.

We are embarking on a strategic investment in AI-powered analytics, with a full remit to explore and adopt the latest and greatest technologies. You'll be shaping which tools, approaches, and practices Numan adopts as a company.

Reporting to the Head of Data Engineering and collaborating closely with data scientists, analysts, and stakeholders across the business.


Responsibilities

  • Designing, building, and maintaining scalable, well-tested dbt data models that power analytics across commercial, marketing, health outcomes, and clinical operations domains.
  • Acting as a senior technical voice within the analytics engineering function, setting standards for data modelling, testing, documentation, and code quality.
  • Leading end-to-end delivery of analytical projects: scoping requirements, managing dependencies, identifying critical path and risks, and communicating progress to stakeholders.
  • Mentoring data scientist and analyst data modelling capabilities; build a culture of best practices, code review, and continuous learning across the data team.
  • Partnering with clinical, commercial, and product teams to translate complex domain requirements into robust, well-documented data models.
  • Evaluating, trialing, and championing AI-powered analytics tooling - shaping Numan's strategic direction on emerging technologies and what we adopt as a company.
  • Driving data quality, reliability, and governance across the transformation layer, proactively monitoring consumption and resolving issues before they impact stakeholders.

Requirements

  • 3-5+ years of experience in an analytics engineering, data engineering, or business intelligence role.
  • Proven track record of owning end-to-end data model design across multiple business domains - ideally spanning at least two of: commercial, marketing, health outcomes, or clinical/operational analytics.
  • Strong stakeholder management skills, with the confidence to translate complex technical concepts for non-technical audiences including clinical and commercial teams.
  • Experience setting technical standards and delivering high-quality work within a small, high-performing data team.
  • Self-motivated and pragmatic, with a strong instinct for high-impact solutions over over-engineering.
  • Genuine curiosity about AI and emerging analytics technologies, with a desire to help shape how Numan adopts them.
  • Expert-level SQL: window functions, CTEs, advanced aggregations, and cloud warehouse-specific optimisation.
  • Deep proficiency in dbt: models, macros, tests, packages, documentation, exposures, and CI/CD integration.
  • Strong working knowledge of Google BigQuery (or equivalent cloud data warehouse): query optimisation, incremental loading strategies, and cost management.
  • Experience with Looker (LookML) or an equivalent BI layer, with a solid understanding of consumption-layer design.
  • Dimensional data modelling expertise: star schemas, slowly changing dimensions, and when to denormalise.
  • Strong written and verbal communication skills; able to deliver clear, insight-led presentations that tell a compelling story to both technical and non-technical stakeholders.
  • Understanding of data privacy, governance, and compliance requirements - with particular sensitivity to regulated healthcare data.
  • Practical experience with AI-assisted analytics workflows, or a strong demonstrated appetite to work at the frontier of AI in analytics.

Nice to have

  • Worked in a digital consumer scale-up, with experience of delivering high quality work at pace.
  • Hands-on experience evaluating or implementing AI/LLM tooling in a data or analytics context (e.g. semantic layers, natural language querying, AI-assisted documentation).

Company Benefits

  • A competitive base salary
  • 25 days holiday + bank holidays
  • A flexible working environment that allows you to make the biggest impact
  • A chance to help build a category-defining company that’s making a real difference in people’s lives
  • Continuous learning - Books, online subscriptions and budget for workshops and conferences.
  • Annual Learnerbly budget
  • Work in a dog friendly office
  • Health Insurance with HealthShield. This is a health cash plan paid for by the company. It also includes 24/7 counselling support, EAP programme, 24/7 GP access, access to wellbeing app Thrive and further discounts on fashion, holidays, entertainment, car hire, health and beauty and your weekly shop via the reward platform MyPerks.
  • Pension contribution: 5% employee 3% employer contribution
  • Cycle to work scheme and secure cycle area to keep your bike safe
  • Discount to our Numan products (also for family and friends)
  • Free eye test
Senior Analytics Engineer at Numan
Position posted 2 months 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
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