Analytics Engineer

About the role

Analytics Engineers bridge data engineering and data analysis, ensuring that raw data is transformed into actionable insights. They work closely with data scientists, analysts, and business stakeholders to understand data needs, build models, and create dashboards that inform strategic decisions.

Who is this role for

The Analytics Engineer role is ideal for individuals with unique technical and analytical skills. It’s suited for those who have:

  • a passion for working with data
  • an eye for detail
  • the ability to communicate complex concepts in an accessible manner.

If you enjoy coding, problem-solving, and collaborating across departments to drive data-informed decision-making, this role could be an excellent fit for you.

What does an analytics engineer do?

Daily duties might include:

  • Collaborating with data scientists, data engineers and data analysts
  • Deploying logical and physical data models
  • Using business intelligence BI, data science, and visualization tools to build data products
  • Building automated and scalable data pipelines
  • Providing insight and recommendations to the data team and company stakeholders
  • Working independently across various projects and as part of a Scrum team
  • Using software development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control

Career roadmap

Analytics engineer career roadmap

Salaries and compensation

The estimated total pay for a Analytics Engineer is $100,941 per year in the Canada area, with an average salary of $94,595 per year. These numbers represent the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The estimated additional pay is $6,346 per year. Additional pay could include cash bonus, commission, tips, and profit sharing.

The average salary for Analllytics Engineer is US$188,312 per year in the United States. The average additional cash compensation for a Analytics Engineer in the United States is US$56,621, with a range from US$42,466 - US$79,270. Salaries estimates are based on 711 salaries submitted anonymously to Glassdoor by Analytics Engineer employees in United States.

Source glassdoor.com

How the course can help you

Our comprehensive course is designed to equip you with the skills and knowledge required to excel as an Analytics Engineer. Key features include:

  • Curriculum coverage - We offer a comprehensive curriculum covering databases, business intelligence, cloud computing fundamentals, cloud data warehouses, and many more. Proficiency in these tools is critical for analytics engineers, and coursework provides structured learning opportunities to master them.
  • Demanded tools proficiency - Learn from scratch SQL, Tableau, Power BI and Looker.
  • Complex concepts explained in simple language - Led by experienced lecturers, our course breaks down complex ideas into simple, easy-to-understand language, making analytics engineering accessible to everyone.

How our community can help you

Joining our community provides access to a network of peers and professionals who can support your career journey:

  • Collaborative learning environment - in Surfalytics we help each other understand complex concepts and solve challenging problems. Working together with peers often leads to deeper insights and more creative solutions.
  • Emotional support - Becoming an analytics engineer can be challenging, and having a supportive peer network can make a significant difference. Our members offer encouragement, share experiences, and provide camaraderie, helping alleviate stress and keep motivation high.
  • Knowledge sharing - Surfalytics community brings diverse backgrounds and perspectives to the table. By sharing knowledge and resources, you can learn about different tools, techniques, and best practices that you might not encounter in your coursework alone.
  • Networking opportunities - Members introduce each other to their professional networks, expanding the pool of potential job opportunities.
  • Portfolio development - by completing diverse projects, you will build a portfolio that showcases your skills to potential employers
  • Career services - share your resume for review and get comprehensive feedback from industry professionals. Participate in mock interview sessions and grow together with our community!