Data Analyst II

Compunnel, Inc.; Toronto; Hybrid; CAD 70,000 - 90,000; Full time

Job summary

A leading company in Global Wealth and Asset Management is seeking a versatile professional for a hybrid role in data engineering and Power BI development. The successful candidate will work with cutting-edge technologies, ensuring robust data pipelines and creating insightful dashboards, while gaining visibility at high leadership levels.

Qualifications

• 2-3 years Power BI experience required.
• Understanding of SQL, data modeling, and database management is essential.
• Experience in data engineering and financial reporting preferred.

Responsibilities

• Develop and manage data pipelines using Python and SQL.
• Create interactive dashboards and reports in Power BI.
• Ensure efficient data processing and support various data engineering projects.

Skills

Power BI

Data Analytics

SQL

Python

Spark

Education

Bachelor's degree in computer science or computer engineering

Tools

Power Apps

Power Automate

Job description

We are seeking a versatile professional to join our high performing team in Client Global Wealth and Asset Management’s Data Office. This is a hybrid role offering opportunities to work with the latest technologies and provides growth and exciting challenges across a wide array of business areas. We require a candidate with expertise in Power BI, Python, SQL, Spark.

The responsibilities are divided equally between data engineering and Power BI development:

50% Data Engineering: Utilize your skills in Python, SQL, and Spark to support various data engineering projects, ensuring robust data pipelines and efficient data processing.

50% Power BI Development: Leverage your Power BI expertise to create insightful and interactive dashboards, providing valuable business intelligence solutions.

Candidate Requirements/Must Have Skills:

1. Power BI data analytics and reporting skills

2. 2-3 years of hands-on Power BI experience with a background in data engineering or data analysis

3. An understanding of database management, data modeling, data warehousing, SQL querying, business intelligence and online analytical processing (OLAP)

4. 2-3 years in data engineering – SQL, programming, create visualization of data sets

5. Solid understanding of financial reporting concepts

Nice to Have Skills:

1. Power App

2. Power Automate

Candidate Value Proposition

The successful candidate will have the opportunity to have visibility at the highest leadership levels, providing key reporting to Executive Leadership

Great opportunity for networking and exposure across all levels of Client and work with cutting edge latest technology

Education:

Bachelor's degree required. Preference for degree in a technical field such as computer science, computer engineering or related field.