At a Glance
- Tasks: Design and implement data models, write SQL queries, and enhance analytics infrastructure.
- Company: Join Vanta, a leader in online security and trust management.
- Benefits: Competitive salary, comprehensive health coverage, remote work perks, and flexible PTO.
- Other info: Inclusive culture with opportunities for growth and collaboration across global offices.
- Why this job: Make a real impact on security while working with cutting-edge analytics tools.
- Qualifications: 4+ years in data, 2+ years in software engineering, and experience with analytics tools.
The predicted salary is between 70000 - 85000 £ per year.
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.
You’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.
What you’ll do:
- Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams.
- Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses.
- Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices.
- Manage and improve data infrastructure needed to drive data-driven decision-making solutions.
- Help develop front end applications to expose analytical data sets enterprise wide.
- Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise.
How to be successful in this role:
- Have at least four years of experience working with data and two years of experience in Software Engineering or a related field.
- Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
- Bring a system-oriented and software engineering mindset to the Analytics Engineering practice.
- Deep knowledge of crafting dimensional and fact models in modern data fashion.
- Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
- Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing.
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
What you can expect:
- Industry-competitive salary and equity.
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans.
- 16 weeks paid Parental Leave for all new parents.
- Health & wellness stipend.
- Remote workspace, internet, and cellphone stipend.
- Commuter benefits for team members who report to the SF and NYC office.
- Family planning benefits.
- Matching 401(k) contribution with immediate vesting.
- Flexible PTO policy, plus 80 hours of Sick Time.
- 11 company-paid holidays.
- Virtual team building activities, lunch and learns, and other company-wide events!
- Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney.
At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.
Senior Analytics Engineer employer: Vanta
Vanta is an exceptional employer that prioritises the growth and success of its employees, particularly in the role of Remote Business Development Representative. With a strong focus on training, mentorship, and career advancement, Vanta fosters a supportive work culture where team members are empowered to excel and contribute to the company's mission of building trust through security. Located in a dynamic and rapidly growing environment, Vanta offers the unique advantage of being part of a profitable company that values innovation and customer satisfaction, making it an exciting place to develop your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vanta!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Vanta.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vanta.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Vanta, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vanta, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vanta. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vanta
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vanta!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.