Data Analytics Developer

Cpus Engineering Staffing Solutions Inc.; Toronto; Remote; CAD 80,000 - 100,000; Full time

Job summary

A staffing solutions company in Toronto is seeking a skilled Data Analytics Developer for a fully remote position. The successful candidate will design and deploy advanced analytics solutions using SQL, Python, and Power BI. They should have over 5 years of experience in data analytics and expertise in SQL, Power BI, and data modeling. This role supports key initiatives and requires collaboration with various stakeholders.

Qualifications

• 5+ years of experience in data analytics and business intelligence development.
• Expert-level SQL skills with proven experience in data wrangling, enrichment, and modeling.
• Proficiency in Power BI dashboard creation and visual storytelling.

Responsibilities

• Design, develop, and deploy advanced data analytics solutions using SQL, Python, and Power BI.
• Collaborate with internal data teams and SMEs to gather requirements and deliver actionable insights.
• Ensure accuracy, reliability, and performance of developed analytics solutions.

Skills

SQL

Power BI

Python

Data modeling

Data wrangling

Tools

Azure Data Lake

Databricks

Job description

We are currently requesting resumes for the following position: Data Analytics Developer

Resume Due Date: Friday, April 04, 2025 (5:00PM EST)

Job ID: 25-048

Number of Vacancies: 2

Level: MP4

Duration: 8 Months

Hours of work: 35 Hours per week

Location: 700 University Avenue, Toronto

Work Mode: 100 % remote

Job Overview

About the Role:

• We are seeking an experienced Data Analytics Developer to support a growing portfolio of analytics use cases across enterprise functions.
• This role requires hands-on expertise in SQL-based data curation, data modeling, and Power Bl dashboard development, with potential to support data science work utilizing Python-based tools.
• You will work within an Azure and Databricks environment, collaborating closely with business stakeholders, data stewards, and internal data teams.

Key Responsibilities

• Design, develop, and deploy advanced data analytics solutions using SQL, Python, and Power Bl Perform data curation and enrichment activities using structured enterprise data sets
• Build optimized and reusable data models for analytics and reporting Support development of analytics for key initiatives
• Work within an Azure Data Lake and Databricks ecosystem, integrating curated datasets
• Collaborate with internal data teams and SMEs to gather requirements and deliver actionable insights Ensure accuracy, reliability, and performance of developed analytics solutions

Qualifications

• 5+ years of experience in data analytics and business intelligence development
• Expert-level SQL skills, with proven experience in data wrangling, enrichment, and modeling Proficiency in Power Bl dashboard creation and visual storytelling
• Experience working in Azure analytics environments (e.g., Data Lake, Synapse, Azure SQL, Databricks)
• Strong understanding of data pipelines and ETL/ELT workflows
• Exposure to Python and machine learning libraries is an asset (not required but preferred)
• Ability to interpret business requirements and translate them into technical specifications Strong communication and collaboration skills

Assets

• Familiarity with enterprise data governance practices and metadata tools.
• Previous work in highly regulated or enterprise-level environments.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.