At a Glance
- Tasks: Transform data into insights and build scalable analytics solutions for our teams.
- Company: Join a pioneering AI company focused on building helpful and honest technology.
- Benefits: Competitive salary, equity options, unlimited PTO, and comprehensive health benefits.
- Other info: Dynamic hybrid work environment with opportunities for growth and innovation.
- Why this job: Make a real impact by enabling data-driven decisions across the company.
- Qualifications: 5+ years in analytics roles, expertise in SQL, Python, and data visualisation tools.
The predicted salary is between 150000 - 180000 £ per year.
As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our GTM and Product teams. You will collaborate with key stakeholders in GTM and Product to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities
- Understand the data needs of GTM and Product teams in terms of key data models and reporting, and translate that into technical requirements.
- Own our dbt instance, defining and maintaining key data pipelines and marts that power core company-wide metrics.
- Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data.
- Build insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.
- Build foundational data products and tools to enable self-serve analytics to scale across the company.
- Influence the future roadmap of Product and GTM teams from a data systems perspective.
- Become an expert in our GTM and Product data models and the company's data architecture.
Qualifications
- 5+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.
- Expertise in building multi-step ETL jobs through tooling like dbt and orchestrated through workflow management platforms like Airflow.
- Expertise in SQL and Python to transform data into accurate, clean data models.
- Experience building data reporting and dashboarding in visualization tools to serve multiple cross-functional teams.
- A bias for action and urgency, not letting perfect be the enemy of the effective.
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end.
- Experience building Analytics Engineering (or similar) function at start-ups.
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Salary
Annual Salary: $200,000—$240,000 USD
Logistics
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- US visa sponsorship: We do sponsor visas; however, sponsorship may not be available for every role and every candidate.
Compensation and Benefits
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. Equity is a major component for eligible roles. Benefits vary by region.
US Benefits: Optional equity donation matching; comprehensive health, dental, and vision insurance; 401(k) with 4% matching; 22 weeks of paid parental leave; Unlimited PTO; stipends for education, home office, commuting, and wellness; Fertility benefits; Daily lunches and snacks; Relocation support for moving to the Bay Area.
UK Benefits: Optional equity donation matching; private health, dental, and vision insurance; Pension contribution (4% matching); 21 weeks of paid parental leave; Unlimited PTO; Health cash plan; Life insurance and income protection; Daily lunches and snacks.
Analytics Engineer employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer, particularly for our Analytics Engineers who play a pivotal role in shaping the future of data-driven decision-making. Our collaborative work culture fosters innovation and growth, offering ample opportunities for professional development while ensuring a healthy work-life balance with unlimited PTO and comprehensive benefits. Located in the vibrant Bay Area, we provide a supportive environment that encourages creativity and offers unique perks such as daily lunches, wellness stipends, and relocation support, making it an ideal place for those passionate about building impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in analytics roles. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data models and dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled real-world problems with data, and don’t forget to highlight your experience with ETL processes and dbt!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with data models, ETL processes, and any relevant tools like dbt and Airflow. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our Data Science & Analytics team. Don’t forget to mention specific projects where you've made an impact in previous roles.
Showcase Your Projects:If you've led projects that involved building dashboards or data products, make sure to include them in your application. We love seeing real examples of how you've enabled self-serve analytics and driven data-driven decisions.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people on our team!
How to prepare for a job interview at Anthropic
✨Know Your Data Models
Before the interview, dive deep into the data models relevant to GTM and Product teams. Understand how they work and be ready to discuss how you can translate their needs into technical requirements. This shows that you're not just familiar with the role but also genuinely interested in how your skills can benefit the company.
✨Showcase Your ETL Expertise
Be prepared to talk about your experience with building multi-step ETL jobs using dbt and Airflow. Bring examples of past projects where you’ve successfully implemented these tools. This will demonstrate your hands-on experience and ability to deliver reliable data pipelines.
✨Dashboards That Deliver Insights
Have a few examples of dashboards you've built that effectively track performance metrics. Be ready to explain the thought process behind your designs and how they helped teams make data-driven decisions. This will highlight your ability to create impactful visualisations.
✨Embrace Ambiguity
During the interview, share instances where you've thrived in ambiguous situations. Discuss how you took initiative to create clarity and drive progress. This will show that you have the 'full-stack mindset' they’re looking for and that you can adapt to the fast-paced environment.
