25-048 Data Analytics Developer

Data Analytics Developer - 25 048

Job closes: Friday, April 04, 2025
Number of Vacancies: 2
Hourly Rate: $85.00 - $100.00 per hour/ INC
Duration: 8 Months
Hours of work: 35
Location: Downtown Toronto, 100% remote.

Our client is 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 BI 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:

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

Qualifications:

1. 5+ years of experience in data analytics and business intelligence development.
2. Expert-level SQL skills, with proven experience in data wrangling, enrichment, and modeling.
3. Proficiency in Power BI dashboard creation and visual storytelling.
4. Experience working in Azure analytics environments (e.g., Data Lake, Synapse, Azure SQL, Databricks).
5. Strong understanding of data pipelines and ETL/ELT workflows.
6. Exposure to Python and machine learning libraries is an asset (not required but preferred).
7. Ability to interpret business requirements and translate them into technical specifications.
8. Strong communication and collaboration skills.

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