Get your first Analytics Engineer job in 3 months

  • Learn modern data stack in 1 month
  • Build data projects portfolio in 2 months
  • Prepare for job search
  • Land your dream job offer ๐Ÿ”ฅ

Fastest way to get Analytics Engineer Job

Surfalytics is an immersive learning platform centered on practical experience. Our 20% focused effort delivers 80% of the results you need, ensuring you're job-ready for your first Analytics Engineer role in just 3 months.

Here you will:

Gain competitive advantage with fundamental engineering skills

Create a standout resume that grabs the attention of recruiters

Develop communication skills to speak the hiring manager's language

Understand the current job market and assess your skills

Define clear, achievable and measurable career goals

Know your worth and target compensation

How do we get these results?

Phase 1

Foundations ๐Ÿ“š

Step-by-step roadmap

Get a detailed roadmap that guides you throughout the journey

Analytics Engineering Course

Master the skills needed to solve real-world Analytics Engineering tasks with our self-paced, hands-on course.

Hands-on Team Projects

Develop hands-on projects portfolio under guidance of experienced Analytics Engineers, who already found a job.

Phase 2

Job Search ๐Ÿ”

Resume Enhancement

Get enhanced resume with tailored job experience for the role.

Effective Application

Learn what hiring managers look for on Canadian Data Jobs market.

Mock Interviews

Participate in mock interview with Staff Analytics Engineers, and get access to our mock interviews library.

Phase 3

Job Offer ๐Ÿ”ฅ

Progress Tracking

Track your progress during job search

Offer Negotiation

Access expert support and tips for offer salary negotiations

Onboarding Support

Benefit from onboarding guidance and ongoing community support

Analytics Engineer role overview

Analytics Engineers focus on building and maintaining the infrastructure that enables data storage, processing, and retrieval.
They work on the backend, dealing with databases, data warehouses, ETL processes, and ensuring data integrity and performance.

Data Warehouses

Databricks

Snowflake

Redshift

BigQuery

BI Tools

Power BI

Tableau

Looker

Tasks

Data Pipeline Optimization

Data Cleansing and Modeling

Dataset Transformation for BI Teams

Monitoring and Automation of Data Flows

Data Integration

Fivetran

dbt

Matillion

Hightouch

Complementary

GitHub

SQL/NoSQL

Docker

Airflow

Soft skills

Collaboration with Data Analysts and Engineers

Presentation of Technical Concepts to Non-Technical Teams

Problem-Solving in Complex Data Environments

Join our community and get professional support on your journey to a successful Analytics Engineer career in North America, Europe and Asia Pacific

60+

Active community members

21

Offers received by community members within the first year

$120k

Average employed members salary in CAD

$120k* - Average Analytics Engineer Salary in 2024

$80k

Junior

$120k

Middle

$150k

Senior

$180k

Staff

The demand for Analytics Engineer is projected to grow 25% from 2020 to 2030, much faster than the average for all occupations.

Many Analytics Engineer roles have performance bonuses, equity, and other perks, especially in startups or tech companies, significantly increasing total compensation.

*Local currency in North America (CAD/USD)

What you will gain in just 3 months

Strong and compelling resume tailored for data job market
Competitive edge in the data job market through strong portfolio of projects
Insights into employer expectations, readiness to ace interview questions

Early Bird Membership Pricing

$100 / month

7 days free trial

then $50 / month or $250 / year

Check our success stories

Frequently Asked Questions

What is the purpose of community?
Our community is dedicated to empowering data professionals by providing a platform for networking, sharing knowledge, and accessing exclusive resources. Whether you're a beginner or an expert, our community aims to support your growth in the field of data analytics and engineering.

Who can join Surfalytics community?
Anyone with an interest in data analytics and engineering is welcome to join. Our members range from students and enthusiasts to seasoned professionals working in various industries.

What are the benefits of joining the community?
Members enjoy a variety of benefits, including:
- Access to exclusive webinars and live Q&A sessions with industry experts.
- Opportunities to collaborate on projects and participate in community-driven research.
- A members-only newsletter featuring the latest industry news and opportunities.
- Networking opportunities with peers and leaders in the field.

Is there a membership fee?
Yes, there is a nominal $50 monthly fee to join the community. This fee helps cover the costs of maintaining our platform, organizing events, and providing members with quality content and resources.

Can I get an invoice for my purchase?
Yes, we can provide an invoice upon request. Please contact our support team support@surfalytics.com with your order details, and weโ€™ll generate and send the invoice to you.

How can I become a member?
To join our community, please complete the membership purchase process. After your purchase is confirmed, we will send you an email with further instructions, including how to access our exclusive Discord channel.

Can I cancel my membership?
Yes, you can cancel your membership at any time. To cancel a membership, please contact our support team support@surfalytics.com.

How can members contribute to the community?
Members can contribute in various ways, including:
- Sharing their knowledge by writing articles or conducting webinars.
- Participating in peer mentoring programs.
- Volunteering for community outreach or event planning.
- Providing feedback and suggestions to improve the community.

Who can I contact if I have more questions?
For any additional inquiries, please reach out to our support team at support@surfalytics.com. We are here to help and ensure you have the best experience in our community.