Join our team of 30 dedicated professionals as a Data Analyst, contributing to a multi-year project transforming a legacy system into a modern reporting and infrastructure solution. This 6-month contract offers a hybrid work environment, allowing you to work from home. You will be deeply involved in analyzing and documenting existing processes within a legacy system, uncovering workflows, dependencies, and data flow. You will collaborate with the technical lead, project lead, and team members to design and implement optimized processes and data pipelines.
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Position: Data Analyst
Shift: Standard: 9-5, 7.5 hours daily, 37.50 weekly
Location: Toronto ON 12th Floor (Hybrid - Work from Home)
Advantages
Enjoy the benefits of a hybrid work environment, collaborating with a team of 30 in a supportive and dynamic setting. Contribute to a significant, multi-year project with opportunities for growth and development.
Responsibilities
Attend agile ceremonies, work on assigned user stories, and collaborate with business partners. Analyze and document existing processes within a legacy system; uncover and map out workflows, dependencies, and data flow. Design and implement new, optimized processes and data pipelines. Visually depict and explain technical findings to the team. Work with ETL objectives analysis/mappings. Translate findings into actionable solutions. Support business partners by transforming data into useful information and delivering insights.
Qualifications
Minimum 5-7 years of experience in Business Acumen. Minimum 3-5 years of proven SQL knowledge. Minimum 2-4 years of SAS knowledge. Minimum 4-6 years of OBIEE OAS Reporting Suite Experience. Minimum 3-5 years of proven analytical capabilities. Proficient in SQL and relational database concepts and design. Ability to independently data mine across various data sources. Excellent communication (written and verbal), time management, analytical thinking, information seeking, and achievement motivation skills are essential. Experience with Tableau, Microsoft Reporting Services, Oracle BI, or Power BI is a plus. A background in BI reporting, banking, and/or education in Business and Technology, Computer Science, or IT is beneficial. Python knowledge is a nice-to-have.
Summary
If you are a highly analytical and detail-oriented Data Analyst with extensive experience in SQL, SAS, and OBIEE, and a passion for transforming data into actionable insights, we encourage you to apply. This is an excellent opportunity to make a significant contribution to a large-scale project
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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Join our team of 30 dedicated professionals as a Data Analyst, contributing to a multi-year project transforming a legacy system into a modern reporting and infrastructure solution. This 6-month contract offers a hybrid work environment, allowing you to work from home. You will be deeply involved in analyzing and documenting existing processes within a legacy system, uncovering workflows, dependencies, and data flow. You will collaborate with the technical lead, project lead, and team members to design and implement optimized processes and data pipelines.
Position: Data Analyst
Shift: Standard: 9-5, 7.5 hours daily, 37.50 weekly
Location: Toronto ON 12th Floor (Hybrid - Work from Home)
Advantages
Enjoy the benefits of a hybrid work environment, collaborating with a team of 30 in a supportive and dynamic setting. Contribute to a significant, multi-year project with opportunities for growth and development.
Responsibilities
...
Attend agile ceremonies, work on assigned user stories, and collaborate with business partners. Analyze and document existing processes within a legacy system; uncover and map out workflows, dependencies, and data flow. Design and implement new, optimized processes and data pipelines. Visually depict and explain technical findings to the team. Work with ETL objectives analysis/mappings. Translate findings into actionable solutions. Support business partners by transforming data into useful information and delivering insights.
Qualifications
Minimum 5-7 years of experience in Business Acumen. Minimum 3-5 years of proven SQL knowledge. Minimum 2-4 years of SAS knowledge. Minimum 4-6 years of OBIEE OAS Reporting Suite Experience. Minimum 3-5 years of proven analytical capabilities. Proficient in SQL and relational database concepts and design. Ability to independently data mine across various data sources. Excellent communication (written and verbal), time management, analytical thinking, information seeking, and achievement motivation skills are essential. Experience with Tableau, Microsoft Reporting Services, Oracle BI, or Power BI is a plus. A background in BI reporting, banking, and/or education in Business and Technology, Computer Science, or IT is beneficial. Python knowledge is a nice-to-have.
Summary
If you are a highly analytical and detail-oriented Data Analyst with extensive experience in SQL, SAS, and OBIEE, and a passion for transforming data into actionable insights, we encourage you to apply. This is an excellent opportunity to make a significant contribution to a large-scale project
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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