Analytics Engineer

About the Role
We are looking for an Analytics Engineer to join a growing data team and take ownership of building the company’s data infrastructure and reporting layer. This is a highly execution-focused role where you will primarily work on backend data systems including pipelines, data models, dashboards, and monitoring.

You will work directly with a hands-on technical lead who provides clear task requirements, fast feedback, and defined deliverables. This role is best suited for someone who thrives in a structured environment where expectations are clear, timelines matter, and output is prioritized.

In addition to core data work, you will also have the opportunity to contribute to ad hoc analyses and special data projects as the business evolves.

AI tools are a key part of the workflow. You are expected to use AI to improve speed, automate repetitive tasks, assist with coding, debugging, and documentation, and contribute to building internal AI-powered data access solutions.

Schedule: 40 hours per week, Monday to Friday, 9:00 PM – 6:00 AM (with 1-hour unpaid break)
Client Timezone: Vancouver, Canada (PST)

Independent Contractor Perks

Health Insurance Coverage for eligible locations
Permanent work from home
Immediate hiring
Key Responsibilities
Data Pipelines & Infrastructure
Build, maintain, and optimize ETL (Extract, Transform, Load)/ELT pipelines from various data sources such as marketing platforms, e-commerce systems, and third-party tools
Ensure pipelines are reliable, well-documented, and include proper error handling and monitoring
Maintain data freshness and system performance
Data Modeling

Transform raw data into clean, structured, and query-ready datasets
Design data models that support reporting on business performance, marketing efficiency, and financial metrics
Ensure consistency and scalability of data structures
Dashboards & Reporting

Develop and maintain dashboards and reports for operational and leadership use
Ensure dashboards are clear, accurate, and easy to use for non-technical stakeholders
Enable self-service reporting where stakeholders can access insights without dependency
Data Quality & Monitoring

Implement systems to monitor data accuracy, pipeline health, and reporting reliability
Set up alerts for data issues, delays, or inconsistencies
Validate outputs against source data to ensure accuracy
Automation

Identify manual reporting processes and replace them with automated solutions
Improve efficiency by reducing repetitive tasks and streamlining workflows
AI Integration

Use AI tools to accelerate development, debugging, and documentation
Support the development of internal tools that allow users to query data using natural language
Continuously explore ways AI can improve data workflows and productivity
Requirements
Must-Have:
4+ years of relevant experience is required for this role
Strong experience with SQL and database best practices
Hands-on experience with a BI tool (e.g., Tableau, Power BI, Looker)
Experience working with a cloud data platform (e.g., BigQuery, Snowflake, AWS, Azure, Databricks)
Proven ability to build data pipelines and data models
Experience using AI tools to improve efficiency in development workflows
Strong written English communication skills
Nice to Have:

Experience with Python or similar for data processing and automation
Background in e-commerce, marketplace, or marketing analytics
Experience supporting executive or board-level reporting
How You’ll Work
You will be given clearly defined tasks with specific deliverables, timelines, and success criteria
Feedback is fast, direct, and consistent
Strong emphasis on speed, responsiveness, and quality of output
You are expected to take ownership of your work and proactively raise blockers or issues
Regular check-ins or standups will be conducted to track progress and alignment
Performance Metrics
Accuracy and reliability of data pipelines and reports
Quality and usability of dashboards
Timeliness of task completion
Ability to proactively identify and resolve issues
Overall contribution to improving data systems and workflows
Who This Role Is Best For
Someone who prefers clear direction and defined tasks
A strong executor who values speed and accuracy
A proactive communicator who raises issues early
Someone comfortable working with AI tools as part of daily workflow
Side Note

This is a permanent work-from-home role under an Independent Contractor arrangement. Candidates must have their own computer and reliable internet connection, and are responsible for their own taxes and benefits. Professional hourly fees are established based on your performance in the application process.

If you’re interested in this role, check out more information on the official website And apply now!