détails d'emploi
Senior Data Analyst
Location: 2 Saint-Laurent, QC
Job Type: Hybrid, 3 days in-office, 2 days remote
Are you a driven individual looking for a new opportunity? We are looking for a Senior Data Analyst to join our dynamic team and work closely with our cross-functional teams to drive the strategic use of data across the organization.
...
About Us
A thriving Fashion company we believe in creating a dynamic and inclusive work environment where innovation and collaboration thrive. Since our founding in 1940, we’ve grown to become a leading retailer with over 65 locations across Canada. We’re committed to attracting top talent to support our stores, head office, and distribution center so that we can continue delivering exceptional service and timeless style to our customers.
Role Overview
In this position, you will play a key role in supporting business intelligence, analytics, and system integration initiatives. You will also stay current with emerging technologies and best practices in data engineering. Additionally, you will lead the adoption and implementation of new technologies to shape our future data strategy and roadmap.
Key Responsibilities
Lead development efforts within our existing data stack, including Snowflake, DBT, Astronomer (Airflow), and AWS serverless architecture.
Mentor and provide technical guidance to data engineers, developers, and analysts.
Oversee the design and development of data pipelines to ingest data from various sources, transforming raw data into clean, scalable models that support business intelligence and analytics.
Lead the evaluation and implementation of a data orchestration tool (e.g., Astronomer Airflow, Dagster) to effectively coordinate and monitor data pipelines and downstream dependencies.
Establish and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users.
Implement processes to continuously monitor and evaluate the cost and performance of infrastructure and tools within our data platform.
Who We’re Looking For
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum 3 years of experience in data engineering or a related field
Expertise in using DBT with modern data warehouse technologies (experience with Snowflake preferred)
Strong programming skills in Python (or similar languages) to manipulate and analyze large datasets
Proficiency in SQL and data modeling techniques
Deep understanding of how data and technology align with and support strategic business objectives
Eagerness to learn new technologies and take on challenges
Nice to Have
Experience with AWS technologies, including Lambda, API Gateway, and EventBridge
Proficiency with data streaming technologies such as Kafka
Experience working with data in retail, e-commerce, marketing, or related industries
What’s in It for You
As part of the our family, you’ll have access to first-rate employee benefits and exciting perks, including:
Why Join Us?
Innovative Environment: Be part of a forward-thinking team that values creativity and innovation
Career Growth: Opportunities for professional development and advancement
Inclusive Culture: Work in a diverse and inclusive environment that encourages positive communication and teamwork
Take the next step in your career us! We’re excited to review your application and look forward to contacting you soon!
Advantages
Group Insurance, Employee Assistance Program
Employer contributions to your RRSP
Employee discount and $300 annual fitness reimbursement
Subsidized cafeteria, free breakfast, coffee, tea, and more
Free weekly yoga sessions and on-site parking
Responsibilities
Lead development efforts within our existing data stack, including Snowflake, DBT, Astronomer (Airflow), and AWS serverless architecture.
Mentor and provide technical guidance to data engineers, developers, and analysts.
Oversee the design and development of data pipelines to ingest data from various sources, transforming raw data into clean, scalable models that support business intelligence and analytics.
Lead the evaluation and implementation of a data orchestration tool (e.g., Astronomer Airflow, Dagster) to effectively coordinate and monitor data pipelines and downstream dependencies.
Establish and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users.
Implement processes to continuously monitor and evaluate the cost and performance of infrastructure and tools within our data platform.
Qualifications
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum of 3 years of experience in data engineering or a related field
Expertise in using DBT with modern data warehouse technologies (experience with Snowflake preferred)
Strong programming skills in Python (or similar languages) to manipulate and analyze large datasets
Proficiency in SQL and data modeling techniques
Deep understanding of how data and technology align with and support strategic business objectives
Eagerness to learn new technologies and take on challenges
Summary
We are looking for a motivated and skilled Senior Data Analyst to join our dynamic team. In this hybrid role, you will work closely with cross-functional teams to drive the strategic use of data and contribute to business intelligence, data analytics, and system integration efforts.
As a Senior Data Analyst, you will lead the development of data pipelines and oversee the design and integration of data models. You will stay informed on emerging technologies and best practices in data engineering while mentoring and providing technical guidance to team members.
You will also play a key role in the adoption and implementation of new technologies to enhance our data strategy and roadmap, ensuring efficient, reliable, and accurate data delivery to stakeholders.
Key Responsibilities:
Lead development efforts within our data stack (Snowflake, DBT, Astronomer, AWS).
Mentor data engineers, developers, and analysts.
Oversee the design and implementation of data pipelines.
Lead the implementation of data orchestration tools like Astronomer Airflow.
Ensure data quality and optimize infrastructure and tools for performance.
Qualifications:
Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields.
Minimum 3 years of experience in data engineering.
Expertise in DBT and modern data warehouse technologies (Snowflake preferred).
Strong Python and SQL skills.
Understanding of aligning data with business goals.
Willingness to learn new technologies.
Nice to Have:
Experience with AWS technologies (Lambda, API Gateway, EventBridge).
Familiarity with data streaming technologies (Kafka).
Experience with retail, e-commerce, or marketing data sets.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
voir plus
Senior Data Analyst
Location: 2 Saint-Laurent, QC
Job Type: Hybrid, 3 days in-office, 2 days remote
Are you a driven individual looking for a new opportunity? We are looking for a Senior Data Analyst to join our dynamic team and work closely with our cross-functional teams to drive the strategic use of data across the organization.
About Us
A thriving Fashion company we believe in creating a dynamic and inclusive work environment where innovation and collaboration thrive. Since our founding in 1940, we’ve grown to become a leading retailer with over 65 locations across Canada. We’re committed to attracting top talent to support our stores, head office, and distribution center so that we can continue delivering exceptional service and timeless style to our customers.
Role Overview
In this position, you will play a key role in supporting business intelligence, analytics, and system integration initiatives. You will also stay current with emerging technologies and best practices in data engineering. Additionally, you will lead the adoption and implementation of new technologies to shape our future data strategy and roadmap.
Key Responsibilities
...
Lead development efforts within our existing data stack, including Snowflake, DBT, Astronomer (Airflow), and AWS serverless architecture.
Mentor and provide technical guidance to data engineers, developers, and analysts.
Oversee the design and development of data pipelines to ingest data from various sources, transforming raw data into clean, scalable models that support business intelligence and analytics.
Lead the evaluation and implementation of a data orchestration tool (e.g., Astronomer Airflow, Dagster) to effectively coordinate and monitor data pipelines and downstream dependencies.
Establish and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users.
Implement processes to continuously monitor and evaluate the cost and performance of infrastructure and tools within our data platform.
Who We’re Looking For
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum 3 years of experience in data engineering or a related field
Expertise in using DBT with modern data warehouse technologies (experience with Snowflake preferred)
Strong programming skills in Python (or similar languages) to manipulate and analyze large datasets
Proficiency in SQL and data modeling techniques
Deep understanding of how data and technology align with and support strategic business objectives
Eagerness to learn new technologies and take on challenges
Nice to Have
Experience with AWS technologies, including Lambda, API Gateway, and EventBridge
Proficiency with data streaming technologies such as Kafka
Experience working with data in retail, e-commerce, marketing, or related industries
What’s in It for You
As part of the our family, you’ll have access to first-rate employee benefits and exciting perks, including:
Why Join Us?
Innovative Environment: Be part of a forward-thinking team that values creativity and innovation
Career Growth: Opportunities for professional development and advancement
Inclusive Culture: Work in a diverse and inclusive environment that encourages positive communication and teamwork
Take the next step in your career us! We’re excited to review your application and look forward to contacting you soon!
Advantages
Group Insurance, Employee Assistance Program
Employer contributions to your RRSP
Employee discount and $300 annual fitness reimbursement
Subsidized cafeteria, free breakfast, coffee, tea, and more
Free weekly yoga sessions and on-site parking
Responsibilities
Lead development efforts within our existing data stack, including Snowflake, DBT, Astronomer (Airflow), and AWS serverless architecture.
Mentor and provide technical guidance to data engineers, developers, and analysts.
Oversee the design and development of data pipelines to ingest data from various sources, transforming raw data into clean, scalable models that support business intelligence and analytics.
Lead the evaluation and implementation of a data orchestration tool (e.g., Astronomer Airflow, Dagster) to effectively coordinate and monitor data pipelines and downstream dependencies.
Establish and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users.
Implement processes to continuously monitor and evaluate the cost and performance of infrastructure and tools within our data platform.
Qualifications
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum of 3 years of experience in data engineering or a related field
Expertise in using DBT with modern data warehouse technologies (experience with Snowflake preferred)
Strong programming skills in Python (or similar languages) to manipulate and analyze large datasets
Proficiency in SQL and data modeling techniques
Deep understanding of how data and technology align with and support strategic business objectives
Eagerness to learn new technologies and take on challenges
Summary
We are looking for a motivated and skilled Senior Data Analyst to join our dynamic team. In this hybrid role, you will work closely with cross-functional teams to drive the strategic use of data and contribute to business intelligence, data analytics, and system integration efforts.
As a Senior Data Analyst, you will lead the development of data pipelines and oversee the design and integration of data models. You will stay informed on emerging technologies and best practices in data engineering while mentoring and providing technical guidance to team members.
You will also play a key role in the adoption and implementation of new technologies to enhance our data strategy and roadmap, ensuring efficient, reliable, and accurate data delivery to stakeholders.
Key Responsibilities:
Lead development efforts within our data stack (Snowflake, DBT, Astronomer, AWS).
Mentor data engineers, developers, and analysts.
Oversee the design and implementation of data pipelines.
Lead the implementation of data orchestration tools like Astronomer Airflow.
Ensure data quality and optimize infrastructure and tools for performance.
Qualifications:
Bachelor’s degree or higher in Computer Science, Software Engineering, or related fields.
Minimum 3 years of experience in data engineering.
Expertise in DBT and modern data warehouse technologies (Snowflake preferred).
Strong Python and SQL skills.
Understanding of aligning data with business goals.
Willingness to learn new technologies.
Nice to Have:
Experience with AWS technologies (Lambda, API Gateway, EventBridge).
Familiarity with data streaming technologies (Kafka).
Experience with retail, e-commerce, or marketing data sets.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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