Analytics Engineer

Due to our continued growth, Flipdish is seeking an 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 2025 and beyond, enabling analytics-driven decision making. You will improve our reporting and self-serve capability and provide actionable insights to teams across the whole company.

This is a generalist technical role. 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.

What you\'re doing

• 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.
• Own delivery of ad-hoc data queries and critical analysis for decision making from internal stakeholders.
• Document solutions e.g. code comments, metric definitions, dashboard explanations, etc. to enable visibility and transparency.
• 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.
• Identify and implement continuous improvement in quality and efficiency of analytics delivery, including leveraging modern tools, including AI.

We\'re looking for

• 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.
• A quick learner and strong problem solver.
• Has meticulous attention to detail.
• Strong communication skills - both written and verbal, with the ability to work with both technical and non-technical stakeholders.

Desirable

• 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.
• Familiarity with modern source control platforms such as GitHub.

What you get

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. If you\'re smart, ambitious, and hard-working, we\'ll do whatever it takes to make you a Flipdisher!

Some of our incentives include:

• Hub Model: We encourage a healthy blend of hub and home working.
• 25 Days Holiday: Enjoy 25 days of holidays per year plus plenty of company get-togethers!
• Healthcare Coverage: Comprehensive healthcare coverage for UK, Ireland, and US-based employees.
• Team Meet-Ups: Regular social events and team meet-ups.

About Flipdish

We\'re Flipdish, an Irish unicorn (valued at over $1bn), serving independent restaurants in a world transformed by tech. No matter how fast Flipdish has grown, we\'ve evolved around our customers and their needs. 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.