Analytics Engineer

Numan; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Share options

25 days holiday, plus bank holidays (↑

Health insurance with Vitality.

Electric car salary sacrifice scheme

Enhanced maternity and parental leave

A day off on your Birthday!

Nursery benefit provided by YellowNest

Employee assistance programme (therapy

Generous pension

Flexible working options, incl. dog‑f\

Personal training and development预算

Wellhub membership

Cycle to work scheme

Season ticket loan

% Discount on Numan products

Paid volunteering days

2 weeks off after 5th anniversary

Job summary

Numan ищет старшего аналитического инженера, который станет ядром нашей аналитической платформы. Вы будете проектировать и поддерживать масштабируемые dbt‑модели, охватывающие коммерческие, маркетинговые и операционные направления, устанавливать стандарты качества кода и документации, руководить end‑to‑end проектами.

Кроме того, вы будете наставлять дата‑учёных и аналитиков, сотрудничать с клиниками и продуктовой командой, оценивать новые инструменты аналитики на основе AI и помогать формировать

Qualifications

• 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.
• Strong stakeholder management skills, with the confidence to translate complex technical concepts for non-technical audiences.
• Experience setting technical standards and delivering high-quality work within a small, high-performing data team.
• Genuine curiosity about AI and emerging analytics technologies.
• Expert-level SQL: window functions, CTEs, advanced aggregations.
• Deep proficiency in dbt: models, tests, documents, and CI/CD.

Responsibilities

• Design, build, and maintain scalable dbt data models powering analytics across domains.
• Set standards for data modelling, testing, documentation, and code quality.
• Lead end-to-end delivery of analytical projects: scoping requirements, dependencies, risks, and progress.
• Mentor data scientists and analysts in data modelling and best practices.
• Partner with clinical, commercial, and product teams to translate requirements into robust models.
• Evaluate and champion AI-powered analytics tooling and technologies.
• Drive data quality, reliability, and governance across the transformation layer.

Skills

SQL

dbt

Data modelling

CI/CD

Stakeholder management

Cloud data warehouse

Tools

dbt

Cloud data warehouse

Job description

Описание

Founded in 2018, we’ve already grown to be a 300+ team distributed across the globe, united by a singular mission: empowering people to take control of their health. Numan is transforming health: we’ve built a cutting-edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life. To deliver on our transformative mission, we are guided by our 5 company values: - Patients first. - Learn fast. - Own the quality. - Succeed together. - Care deeply. Backed by top-tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK, and we want you to help us deliver this mission! 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.

Задачи

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.

Требования

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

Our benefits include

• Share options
• 25 days holiday, plus bank holidays (increasing to 30 the longer you stay with Numan).
• Health insurance with Vitality.
• Electric car salary sacrifice scheme with Octopus.
• Enhanced maternity and parental leave
• A day off on your Birthday!
• Nursery benefit provided by YellowNest.
• Employee assistance programme (access to therapy, financial planning and discounts).
• Generous pension (includes both employee and employer contributions).
• Flexible working options, including a dog-friendly office in Farringdon.
• Personal training and development budget via Learnerbly.
• Wellhub membership, giving you access to over 2,000 locations in the UK.
• Cycle to work scheme.
• Season ticket loan.
• % Discount on Numan products for your friends and family.
• Paid volunteering days.
• An additional 2 weeks off once you reach your 5th anniversary with Numan.

Diversity at Numan

Diversity at Numan At Numan, people are at the heart of who we are. We recognise and value the unique perspectives and experiences that individuals from all backgrounds bring. We promote innovation and creativity, enabling us to tackle things from various viewpoints and are committed to equal opportunities and continuously strive to create a workplace where everyone feels respected, heard, and valued. Embracing diversity isn't just our goal; it's our strength, driving us towards a more inclusive future.