Junior Analytics Engineer
Bloom & Wild
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See open jobs at Bloom & Wild.See open jobs similar to "Junior Analytics Engineer" General Catalyst.Data Science
London, UK
💻 What you’ll be doing
- As a Junior Analytics Engineer, you'll be reporting to the Head of Analytical Engineering and will play a crucial role in ensuring our data infrastructure supports our fast-paced, data-driven business.
- Evolve our BI data platform by adapting data models and reporting to support our evolving tech landscape to help drive us forward as a business.
- Collaborate closely with tech & Data Engineering teams on new feature development, ensuring data requirements are understood early and incorporated into data models efficiently.
- Proactively build and maintain data pipelines and models to support new tech initiatives and allow us to progress at pace.
- Work closely with our Data Engineering Team to ensure seamless data flow and integrations
- Understand our data across multiple areas of the business such as Product, Operations, Finance, Commercial and Marketing.
- Work with business stakeholders and the rest of the BI&A team to optimise performance our existing data models, making them more cost effective & run faster.
- Implement DBT best practices for modularity, reusability, and incremental builds to significantly reduce Snowflake compute and storage costs.
- Monitor data pipeline performance and identify areas for optimisation to ensure efficient data processing.
- Develop new, robust, and well-documented data models as required by various business areas, ensuring data consistency and reliability across the organisation.
- Work closely with analysts to understand their data needs and translate them into efficient data structures.
- Utilise DBT and Snowflake daily to create and maintain robust and scalable BI&A data models.
- Drive improvements in data processes to enable us to scale and automate tasks where possible
- Build and maintain the highly curated and optimised datasets necessary to power future AI initiatives, such as natural language querying tools for the wider business.
- Explore and potentially leverage AI tools (e.g. AI-assisted code generation) to speed up your own analytical engineering tasks.
- Proactively learn new data modelling techniques and stay up to date with industry trends to challenge the way we do things at Bloom & Wild
✅ You’ll love this role if you are…
- Curious about Data - You are passionate about data, understand it’s value and are keen to utilise it to drive a business forward.
- A Problem Solver - You’re excited about problem-solving and are proactive about investigating innovative solutions.
- Open & Empathetic - You value diversity and inclusion, and are eager to learn from and work with others.
- A Collaborator - You have collaborative style that enables you to work and communicate effectively with a range of different people and teams
🛠️ We’re looking For…
- These are some of the skills and experience we think will enable success in this role. We’re committed to building a team made up of different strengths, skills and experiences, so if you’re excited about our values, passionate about what you do and would like to join us in doing things more thoughtfully, we’d love to hear from you.
- 1-2 years of experience in an analytical engineering or data analytics role.
- Proficiency in SQL with regular hands-on experience (Mandatory).
- Experience designing, building and maintaining dashboards in visualisation tools such as Tableau, Looker or Periscope.
- Ability to contribute to the development of data and analytical solutions.
- Problem solving and critical thinking skills including debugging and QA-ing data models and output.
- Excellent communication skills & ability to work with multiple stakeholders and cross-functional teams.
- Proactive team member - you take ownership and get stuck in, and you're able to balance multiple projects and priorities.
- Some experience in working with some data pipelines (ELT/ETL concepts) & warehouse knowledge.
- Experience utilising Python for data manipulation.
- Experience using DBT.
- Experience using AI code assistants like GitHub Copilot to write and debug SQL and Python.
- Familiarity with leveraging AI for automated data documentation and generating quality tests, preferably within DBT.
- Knowledge of AI-driven features in modern BI platforms (e.g., Power BI, Tableau).
- E-commerce experience is a big plus.
This job is no longer accepting applications
See open jobs at Bloom & Wild.See open jobs similar to "Junior Analytics Engineer" General Catalyst.