Data Analyst II

Compunnel, Inc.; Toronto; Hybrid; CAD 70,000 - 100,000; Full time

Job summary

A leading company seeks a versatile professional for a hybrid role in Client Global Wealth and Asset Management's Data Office. The candidate will engage in data engineering and Power BI development, leveraging skills in Python and SQL to create valuable intelligence solutions and dashboards. This position offers the chance to work with cutting-edge technologies and provides visibility to executive leadership.

Benefits

Networking opportunities at executive levels

Exposure to cutting-edge technologies

Qualifications

• 2-3 years of hands-on Power BI experience.
• 2-3 years in data engineering (SQL, programming).
• Solid understanding of financial reporting concepts.

Responsibilities

• Utilize skills in Python, SQL, and Spark for data engineering projects.
• Create insightful and interactive dashboards using Power BI.

Skills

Power BI

Python

SQL

Spark

Data Engineering

Education

Bachelor's degree in technical field

Tools

Power App

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.