Analytics Engineer, Arcane
Data Team
£40-60k
4-5 days a week in office
AI-powered marketing automation platform
Job no longer available
AI-powered marketing automation platform
1-20 employees
Job no longer available
£40-60k
4-5 days a week in office
1-20 employees
Company mission
Give every individual the power of a team
Role
Who you are
- Experience using tools to extract data such as SQL, Python, dbt, Amazon Redshift or BigQuery or Snowflake, Google Cloud Platform or AWS, GitHub, and Docker
- Experience in some of the following would be beneficial: Snowflake, a BI tool such as Looker/Tableau/Lightdash
- A curiosity around the developing technologies in AI (such as Chat-GPT and other machine learning applications)
- Previous involvement in delivering actionable insight and business change through the application of analytics
- Previous involvement in taking data in it’s rawest form and building a consumable data model on top
- An inquisitive mind, with the curiosity to be constantly on the lookout for opportunities and the ability to logically solve problems
- The ability to partner brilliantly with different teams across the business to understand their problems and deliver value
- Experience with DevOps practices (code testing/review, source code management, packaging, and releases)
- Experience with coding in Python (robust, understandable, and well-documented code)
- Ability to understand and interpret business needs and requirements
What the job involves
- Work as part of our Data team to develop a understanding of the challenges that Growth teams tackle day-to-day
- Deliver and be accountable for data analysis at Coral
- Work hand in hand with Data Science, Product & Engineering to conduct analysis driving the development of our Growth Platform (including Data Integration, Data Processing & Transformation)
- Work closely with our Data team to template our Analytics workstreams so that we're able to scale our product to work efficiently with any data source
- Maintain data quality and the source of truth for metrics
- Maintain core data domain documentation
- Develop a thorough understanding of different data sources for various industry verticals i.e. Marketing (Facebook, TikTok, Instagram), Commercial (Salesforce, Shopify), Product (Mixpanel, LaunchDarkly, Amplitude) so that we're flexible to any new customer needs and the tools they use
- Support on decision-making about how to model and architecture our data internally
- Support the identification of new data sources and collaborate with data engineers to make sure data requirements are captured and prioritised
- Ensure the team follows best practices when working with our data platform
- Exposure to a cutting edge data platform with the ability to learn new analytics tools and best practices
Application process
- 1. Apply via Otta
- 2. First call with People team
- 3. Interview with Hiring Manager
- 4. Technical assessment
- 5. Interview with Founder & Co-Founder
Salary benchmarks
Our take
Arcane tackles marketing workflow difficulties exacerbated by the fact that enterprise work teams operate across an average of 91 marketing tools. Data is therefore scattered across various channels, making it hard to collate the information needed by a team. Arcane's AI Copilot remedies this.
Arcane's AI Copilot is a platform of workflow automation, campaign platform collation and analytics tools. Founded in 2021, Arcane is already backed by some of the most successful seed-stage VC's in Europe. Its angel investors are CEO/ Founders of some of the fastest-growing tech scale-ups in Europe, indicating the potential that's seen in the platform.
Arcane will be focused on attracting talent and launching its product. It's a fast-growing, early-stage company with considerable potential.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Company benefits
- 🌴 25 days holiday (+ public holidays)
- 💻 New MacBook Pro & external monitor & accessories
- 📚 Professional development budget ($1,000/ year)
- 📈 Equity in an early-stage tier-1-VC-backed company
- 🪄 Creative team retreats
- 👩💻 Remote & flexible working
- 🚲 Cycle to work scheme
- ❤️ Health insurance
- 🏦 Pension contribution (4%)
- 🏢 Spacious private office (WeWork, Holborn)
- 🌎 Global co-working access (WeWork)
Company HQ
Holborn, London, UK
Leadership
Ben Hacking
(CEO)10y experience in Tech startups & scaleups. Scaled and led Growth Marketing at Deliveroo during their hyper-growth phase and led strategic international projects at WeWork pre-SPAC.
Jeremy Frenay
(CTO)Previously led the Data Infrastructure & Streaming teams at Babylon Health, Engineering lead at Worldfirst.
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