OPEN: Data Analytics Developer

Cpus Engineering Staffing Solutions Inc.; Massilly; À distance; USD 70 000 - 110 000; Plein temps

Résumé du poste

An innovative firm is seeking a skilled Data Analytics Developer to enhance their analytics capabilities across various enterprise functions. This exciting role involves designing and developing advanced analytics solutions using SQL and Power BI, while also utilizing Python for data science tasks. You will collaborate closely with business stakeholders and internal data teams to ensure the delivery of accurate and actionable insights. Join a dynamic environment where your expertise will play a crucial role in driving analytics initiatives and supporting data-driven decision-making.

Qualifications

• 5+ years of experience in data analytics and business intelligence development.
• Expert-level SQL skills with proven experience in data wrangling and modeling.

Responsabilités

• Design and deploy advanced data analytics solutions using SQL, Python, and Power BI.
• Collaborate with internal data teams to gather requirements and deliver insights.

Connaissances

SQL

Data Analytics

Business Intelligence

Python

Power BI

Data Modeling

Data Curation

Communication Skills

Outils

Azure

Databricks

Data Lake

Description du poste

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 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:

• Design, develop, and deploy advanced data analytics solutions using SQL, Python, and Power BI.
• 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 BI 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.