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- Tasks: Manage data models and produce insights to drive positive societal impact.
- Company: Fast-growing startup in London focused on charitable fund flow.
- Benefits: Vibrant work culture, growth opportunities, and numerous employee benefits.
- Why this job: Make a real difference while working with data that powers good.
- Qualifications: 3 years of DBT experience and 5 years in SQL data modelling.
- Other info: Join a dynamic team dedicated to social impact and innovation.
The predicted salary is between 50000 - 60000 £ per year.
A fast-growing startup in London seeks an Analytics Engineer to ensure smooth fund flow from customers to charities. This role involves managing data models, creating tests, and producing insights to drive business value using DBT and Snowflake.
Ideal candidates have:
- 3 years of experience with DBT
- 5 years in SQL data modeling
- A passion for making a positive societal impact
The company offers a vibrant work culture, growth opportunities, and numerous employee benefits.
Impact Analytics Engineer — Build Data That Powers Good in London employer: Goodstack
Contact Detail:
Goodstack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact Analytics Engineer — Build Data That Powers Good in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the startup. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you’ve got experience with DBT and SQL, create a mini-project or a portfolio piece that highlights your data modelling prowess. Share it during interviews to demonstrate your hands-on abilities.
✨Tip Number 3
Prepare for the interview by understanding the company’s mission. Since they focus on making a positive societal impact, think about how your skills can contribute to that goal and be ready to discuss it.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Impact Analytics Engineer — Build Data That Powers Good in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your passion for making a positive societal impact shine through. We want to see how your values align with our mission to power good through data.
Highlight Relevant Experience: Make sure to showcase your experience with DBT and SQL data modelling clearly. We’re looking for candidates with at least 3 years of DBT experience and 5 years in SQL, so don’t hold back on those details!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your skills and experiences without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting role in our vibrant work culture!
How to prepare for a job interview at Goodstack
✨Know Your DBT and SQL Inside Out
Make sure you brush up on your DBT and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, and think about how you can explain complex data models in simple terms. This will show your technical prowess and your ability to communicate effectively.
✨Show Your Passion for Social Impact
Since the role focuses on making a positive societal impact, be prepared to share why this matters to you. Think of examples from your past work or personal experiences that highlight your commitment to using data for good. This will resonate well with the company's mission.
✨Prepare Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s projects, culture, and future goals. This not only shows your interest but also helps you gauge if the company aligns with your values and career aspirations.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Practice articulating your thought process when faced with data challenges, as this will showcase your analytical skills and how you approach problem-solving in real-world situations.