Analytics Lead

We’re Scan.com, the digital health scale-up that gives patients and physicians simpler, faster access to medical imaging.

At the heart of Scan.com lies a different way of doing things: empowering patients to make financially smart decisions, enabling live scheduling for patients and providers, and easing clinician workloads through AI. It’s our mission to make medical scans accessible to all.

You’ll be joining us at an exciting time - we’ve recently launched our physician marketplace product in the USA to great success, have raised over $60m in VC funding and are on track to grow over 300% in 2024.

WHAT YOU WILL BE GETTING INVOLVED IN

Our vision for Data is to enable everyone in the company to be owners of performance and scientific in their approach to learning from data and for data directly to be used to enhance our product experience.

The Analytics Lead should create the space for others to succeed whilst maintaining 50/50 hands-on analytics capability to flexibly support the team and help build scientific capacity within the organization, depending on business needs and team growth. They might partner across multiple domains as required - such as Partnerships, Finance, Growth, Product, Operations and Customer Experience, maintaining broad knowledge to enable their team to dive deep into a particular area.

As one of the first hires in the data team, reporting into the Chief Operations Officer, you will have the opportunity to lay the foundations for future success and to scale with the organization on this journey. We don’t have any single source of truth data models built in Snowflake yet, so you will need to get your hands dirty in the first few months, be involved in the SQL from the raw data layer in Snowflake, and be working with Google Sheets/Excel. You will be integral in moving forwards on this and pushing us to creating a single source of truth layer in Snowflake.

As an early-stage business, you can expect your role to develop over time. However, some of the types of things you could be getting involved in are:

• Driving our Data Creation principles - Work with system of record owners and software engineers on how we create data for the first time to ensure that we have some level of guidance and governance as to what ‘good looks like’ at source.
• Building out the analytics single source of truth - Firstly by making a decision on what tools should be used for what purpose. Then in the future moving upstream and building dbt models based on design guidelines which codify the conventions we use to make our data easy to use for analysis and representative of the real world Scan ecosystem. The models should be well tested and documented to ensure they can aid with building trust and reliability.
• Owning the data platform - Define the vision, build, and own the data platform (Snowflake, Fivetran, dbt Cloud, Tableau, Zoho Analytics, Geckoboard) with consideration for other tooling in the wider ecosystem (Heap, Coefficient), with a keen eye on integration, performance, costing, and future capabilities. You will be supported by the VP Engineering with this effort.
• Fostering high performance - Continuously move the Data & Analytics team towards high performance by leading your data peers and the wider organization on issues affecting impact or process/tooling/data challenges hindering the progress of maturity of data scaling and our data culture.
• Coaching and Mentoring - Help any other data professionals in your team and the wider business make stretch improvements in their craft skills in how they approach analytically thinking about and working with data. Be the leader that everyone looks to for tips on how to improve their practices with data and think scientifically.

THE TOP 5 THINGS WE WANT YOU TO ACHIEVE IN YOUR FIRST YEAR ARE

Lead the transformation of Scan into an Insights and Analytics-led organisation

• Successfully guide Scan's journey to become a leader in successfully deploying insights and analytics across our business, from the medicals scans we supply, the partnerships we foster, to the growth campaigns we run. Collaborate with business leaders to integrate data and scientific thinking as core elements in decision-making processes across domains.
• Success will be measured by the implementation of key data initiatives and their impact on our company OKRs.

Create shared focus and align capacity to where it’s needed.

• Work closely with the Scan leadership team to identify and address gaps in insights and analytics capabil