- Healthcare coverage for UK, Ireland, and US based employees
- At this point, you might expect the usual spiel about how great a place Flipdish is to work at and how great our work culture is (and it is ). We're a company that values diversity, inclusion, and wellbeing as standard. And all permanent employees qualify for our share scheme because we share our success.
Content Engineer - London, United Kingdom - Flipdish
Description
At Flipdish, we're turning the tables in favour of independent restaurant and takeaway owners by providing them with the tools they need to make their lives easier.
We provide our customers with a suite of powerful, but straightforward tech along with (real human) support, so they can thrive on their own terms.
Everything we do is designed to make running a restaurant satisfyingly simple, in a world that's anything but.Due to our continued growth, Flipdish is seeking a Senior Analytics Engineer.
This person will join as an individual contributor in our Analytics function reporting into our Data Science and Analytics Lead, with the opportunity to supercharge our growth in 2024 and beyond by improving reporting and providing actionable insights to teams across the whole company.
The candidate should be open to working on a number of different data initiatives in parallel across the company, with a view to tying all of Flipdish's data together coherently and making it more useful for stakeholders.
The role is primarily a mix of analytics engineering and data analysis.Create new DBT SQL data models, KPIs, dashboards and reporting solutions in Looker and Metabase for primarily self-serve analytical use to help stakeholders answer critical questions related to their business areas.
Capture and distill data & analytics requirements, translating between the business objective and the technical solution, and feedback on feasibility and timelines.
Be first line of support for the business on ad-hoc data queries and critical analysis for decision making.Handover solutions and communicate data insights and high level methodology to non-technical audiences through clear writing, visualisations and narratives.
Develop data quality monitoring and engage business stakeholders to take ownership of resolution.Support Data Science and Analytics Lead with feature engineering for ML and deep-dive analysis.
3+ years experience helping teams make impactful decisions with data.
~ Advanced
SQL:
Expert at efficiently extracting large volumes of data. Proven commercial experience using SQL to answer business questions.
~ Experience designing data models from scratch (ideally in DBT)
~ Familiarity with database design and data engineering concepts.
~ Able to context switch, work on parallel projects and respond quickly to ad-hoc requests.
~ Professional experience with data visualisation and BI tools (Looker, Metabase, Tableau, etc).
Experience writing LookML.
Data transformation and statistical programming ability in Python.
Experience working in data roles at technology companies or high growth start ups.
We're a growing startup and we understand that amazing incentives will attract amazing talent. As well as the perks, we provide unparalleled opportunities for career growth. Hub model - we encourage a healthy blend of hub & home working
25 days holidays per year and plenty of company get togethers
We're not just an end-to-end ecosystem of technology, but a team committed to supporting people in the food industry.
We go to great lengths to understand our customers (check out our C-suite on work experience ). We're food industry natives. We've worked in busy kitchens and run busy restaurant franchises.We don't just help our customers deal with real life problems, we give them a way of competing with the big chains, growing on their own terms, and falling back in love with what they do.