BI Engineer at Wise Publishing Inc
Toronto, ON M4P 3A2, Canada -
Full Time


Start Date

Immediate

Expiry Date

08 Feb, 25

Salary

0.0

Posted On

23 Jan, 25

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Wise Publishing, Inc. is a digital publishing and technology company but we’re much more than that; we’re a group of talented, passionate people who believe that consumers deserve the best possible information to help them make smart choices and get ahead.
Our purpose is to empower everyone to live a richer life.
Our core products are our widely read, high-quality personal finance brands, Moneywise.com, Money.ca which serve the U.S. and Canada respectively, reaching tens of millions of people monthly.
The Role
Are you ready to build the infrastructure that drives business decisions at a growing, data-driven organization?
Wise Publishing is expanding, and we’re looking for a skilled and innovative BI Engineer to join our team. If you’re passionate about transforming raw data into actionable insights and thrive in a collaborative environment, this is the role for you.
As a BI Engineer, you will design and maintain robust data pipelines, develop insightful dashboards and reports, and implement scalable business intelligence solutions that align with organizational goals. Reporting to the VP of Engineering, your work will ensure data integrity and empower stakeholders to make informed, data-driven decisions that fuel the success of Moneywise.com and Money.ca.

Responsibilities
  • Data Pipeline Development: Create and manage efficient ETL/ELT processes to ingest, transform, and store data from diverse sources.
  • Optimize Data Performance: Design scalable Snowflake data models to ensure fast query performance and efficient storage.
  • Interactive Dashboards: Build and enhance actionable dashboards and reports for stakeholders.
  • Collaborate with Teams: Work with stakeholders to gather requirements, define KPIs, and deliver tailored BI solutions.
  • Data Quality Assurance: Implement validation processes to ensure data accuracy and reliability.
  • Integration: Manage integrations with external APIs and third-party data sources.
  • Mentorship and Leadership: Mentor junior team members and contribute to establishing BI best practices.
  • Support Advanced Analytics: Provide clean datasets for advanced analytics and predictive modeling.
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