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- Tasks: Create impactful data products and empower stakeholders with self-service analytics.
- Company: Join Entrust, a leader in identity-centric security solutions.
- Benefits: Flexible work arrangements, collaboration opportunities, and a diverse culture.
- Why this job: Shape the future of security while working with cutting-edge data technologies.
- Qualifications: Experience in data analytics, SQL, and strong communication skills.
- Other info: Hybrid/remote-friendly environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Join Entrust, shaping the future of identity-centric security solutions. We enable secure identity verification at scale and support a flexible, global workplace. This role may join the team formerly known as Onfido, now part of Entrust, and contributes to a comprehensive portfolio of AI-powered, identity-centric security solutions.
Location: Hybrid/Remote-friendly with options for certain locations as noted below.
Responsibilities:
- Enable stakeholders to surface critical data from many sources in the self-service analytics platform to support data-driven decisions.
- Own the end-to-end creation of data products by designing and implementing ELT jobs and building reporting.
- Be accountable for the quality, performance and scalability of the self-service analytics platform.
- Write high-quality code, implement tests and automate where possible.
- Be a trusted partner to a diverse group of stakeholders across Product Managers, Commercial and Operational Analysts and Customer Success / Sales Managers.
- Propose and implement bespoke analytics solutions to address business and technical challenges.
- Educate a diverse group of data users to utilise Onfido’s tools and data assets and enable self-serve analytics.
Qualifications:
- Extensive experience working with data analytics.
- Advanced knowledge of SQL and the ability to distinguish between working SQL and performant SQL.
- Strong data visualization skills and the ability to tell data stories using BI tools (e.g., Tableau, Looker).
- Excellent communication skills; able to summarize complex technical issues and present to non-technical audiences.
- Ability to work with stakeholders from diverse backgrounds and prioritize the work accordingly.
- Self-starter with initiative in spotting opportunities and solving problems.
- Some experience with Python, Git, dbt, Looker, Snowflake / Redshift / BigQuery is a plus.
Location & Perks:
Hybrid / Remote-friendly; extensive data analytics experience preferred. We offer flexible work arrangements, collaboration opportunities, and a culture focused on diversity and inclusion. Industry-leading identity-centric security solutions and a chance to contribute to a world-class team.
Analytics Engineer in City of Westminster employer: Entrust's Identity
Contact Detail:
Entrust's Identity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, visualisations, and any cool analytics solutions you've built. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data storytelling skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Analytics Engineer in City of Westminster
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 analytics, SQL, and any relevant tools like Tableau or Looker. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the responsibilities listed in the job description.
Showcase Your Communication Skills: Since you'll be working with diverse stakeholders, it's crucial to demonstrate your ability to communicate complex ideas clearly. In your application, give examples of how you've successfully explained technical concepts to non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Entrust's Identity
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with BI tools like Tableau or Looker. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data visualisation.
✨Understand the Business Context
Before the interview, research Entrust and its identity-centric security solutions. Understand their products and how data analytics plays a role in their success. This will help you tailor your answers and demonstrate that you're genuinely interested in the company.
✨Prepare for Technical Questions
Expect to be asked about your experience with ELT processes and coding practices. Brush up on writing performant SQL queries and be prepared to explain your thought process when solving technical problems. Practising common technical interview questions can really help.
✨Showcase Your Communication Skills
Since you'll be working with diverse stakeholders, it's crucial to demonstrate your ability to communicate complex ideas clearly. Prepare examples of how you've successfully explained technical concepts to non-technical audiences in the past, as this will highlight your interpersonal skills.
