About Nous
Nous is a well-backed early stage startup on a mission to make people’s lives simpler and fairer.
Our free service helps households get wise and stay vigilant against rising costs. And by managing household bills and providers for Nous members, we're freeing them from a lifetime of admin while saving them money and time.
We’ve thought carefully about how to ensure our product and business has a distinctive positive social impact. We’re very proud to say that, as of October 2023, Nous is officially a B Corp. This means we’ve been formally accredited for our commitment to exceptionally high standards of social and environmental performance, transparency and accountability. We also regularly lead consumer campaigns – on issues such as broadband social tariffs for instance.
Over 150,000 people have used our free service during the cost-of-living crisis. We’re now actively selling our premium service b2b2c, to employers buying Nous as an employee benefit for their teams. Households save hundreds of pounds (some, thousands) by using Nous, as well as being freed from a lifetime of admin. And because Nous operates at a household level, even if an employee doesn’t pay the bills themselves, their household can still benefit.
The role
As our first Analytics Engineer, you will be responsible for a broad range of data capabilities and outcomes for the business. This is a great opportunity to work across a range of product and data needs, and a great stepping stone towards a Product Manager or Data specialist role in the future. Your work will encompass on any given day:
- Product: Act as product analyst for our workstreams, helping define the ‘BI product’ and how to provide the key measurements at the right times in both the codebase and the product ‘test and learn’ lifecycle
- Engineering: Implement and enhance ELT pipelines and aggregation strategies for our first and third party data as we grow our service lines and acquisition strategies
- Reporting: Build and evangelise the right reports for the business using the right tools at each step of our journey. Advocate for best practices across engineering, analytics, BI, and commercial reporting. Democratise access to data for the whole organisation.
- Analysis: Help the business make increasingly robust data-driven decisions, resisting inertia at every step of the reporting journey. Work with commercial and operational teams to aid in growth forecasting and hypothesis testing.
You
- Experience with SQL and at least one basic scripting or programming language (Python, Javascript, etc)
- Experience in building and debating data models at both the whiteboard and technical implementation levels
- Experience with streaming analytics tools (e.g. Segment, Amplitude)
- Experience with ELT tools and processes (e.g. dbt, AWS Glue)
- Experience developing within a BI visualisation tool (e.g. Tableau, Looker)
- Experience with relational databases and data ‘lakehouse’ paradigms
- Proven track record of being able to build reports and dashboards quickly, and iterate as tooling, insights, and data availability improves
- Strong communication skills, particularly when it comes to explaining data problems and potential solutions