We are currently seeking a fully-remote Data Analyst to join our client's team, supporting their ongoing digital transformation and data analytics strategy. The ideal candidate will play a key role in the design and implementation of an enterprise data platform on Azure cloud. Responsibilities include collecting and analyzing information managem
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ent requirements, conducting data quality analysis, and creating data models that align with governance standards. The successful candidate will have strong experience in data quality analysis, SQL programming, data modeling, and metadata management. Familiarity with Azure Data Platform technologies, Spark SQL, and Power BI development is required. Additionally, experience in Agile environments and with Master Data Management tools is a plus. If you have over 7 years of experience in SQL and data lifecycle management, this is a great opportunity to contribute to a cutting-edge project.
*** Fully remote ***
*** Candidates must be eligible for Government of Canada Reliability Security Clearance (having lived in Canada for 5+ years) ***
*** 12 month contract to start ***
Advantages
Remote Work: Enjoy the flexibility of working from anywhere.
Cutting-Edge Tech: Gain experience with advanced tools like Azure Data Platform and Power BI.
Responsibilities
Primary Responsibilities
•Collecting, documenting, and analyzing information management requirements.
•Developing a plan/approach for data quality analysis, and on-going data quality monitoring.
•Conducting data quality analysis on an on-going basis, and identifying issues, and options for resolutions.
•Communicating requirements, issues, and options for resolutions to various stakeholders and tailoring messages to the audience.
•Creates reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
•Proposes standards, rules, guidelines, and principles for information analysis for the enterprise.
•Designs, creates and optimizes data model and derives conversion and migration methods for existing data.
•Maintains an enterprise view of data across various systems. Works collaboratively with information governance analysts to ensure that data models and structures are compliant with governance standards.
•Works closely and collaboratively with management, stakeholders, team members, development team, DBA and infrastructure teams to optimize the overall data management delivery.
Qualifications
Specific Project Requirements
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Knowledge and demonstrated experience of Data Quality tool is an assets.
•Strong knowledge and demonstrated experience in Data Quality Analysis is required.
•Understand systems data elements, and existing data structures.
•Set up the data quality analysis framework (activities, process, requirements, and level of effort) to hand off to a business resource.
•Import source data files and save to an internal file location for review, analysis and auditing purposes.
•Validate source files for completeness and quality of format, content location and values.
•Identify qualified/approved records for system upload.
•Identify and resolve discrepancies (format, content, values).
•Work with business team members on resolving quality issues.
•Deliver data analysis reports that clearly articulate the data quality dimensions.
•Generate status reports to stakeholders on a weekly basis, and liaison with Business Lead on data analysis results and reporting.
•Over 7 years of demonstrated experience in SQL programming and refactoring
Top Skills Required:
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Well-rounded experience in the whole data lifecycle management and hands-on experience in the following data management domains: dimensional and relational data modeling, data quality, SQL programming, ETL development, metadata management and master data management, business intelligence and database administration.
•Experience with reverse engineering the source to target mapping to gain data insights
Other Skills Required:
•Experience with Azure Data Platform technologies or other public cloud offerings
•Experience with Spark SQL
•Programming experience: SQL, Python
•Experience with Power BI report development
•Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.
•Ability to understand and interpret requirements and design documents
•Ability to write and maintain documentation
Assets:
•Experience working in an Agile environment/team
•Understanding of Denodo platform
•Experience with IBM: Data Manager, InfoSphere DataStage
•Experience working on Master Data Management tool
Summary
If you're qualified and interested please submit your resume and one of our experienced Recruiters would be happy to give you a call. Thank you.
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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We are currently seeking a fully-remote Data Analyst to join our client's team, supporting their ongoing digital transformation and data analytics strategy. The ideal candidate will play a key role in the design and implementation of an enterprise data platform on Azure cloud. Responsibilities include collecting and analyzing information management requirements, conducting data quality analysis, and creating data models that align with governance standards. The successful candidate will have strong experience in data quality analysis, SQL programming, data modeling, and metadata management. Familiarity with Azure Data Platform technologies, Spark SQL, and Power BI development is required. Additionally, experience in Agile environments and with Master Data Management tools is a plus. If you have over 7 years of experience in SQL and data lifecycle management, this is a great opportunity to contribute to a cutting-edge project.
*** Fully remote ***
*** Candidates must be eligible for Government of Canada Reliability Security Clearance (having lived in Canada for 5+ years) ***
*** 12 month contract to start ***
Advantages
...
Remote Work: Enjoy the flexibility of working from anywhere.
Cutting-Edge Tech: Gain experience with advanced tools like Azure Data Platform and Power BI.
Responsibilities
Primary Responsibilities
•Collecting, documenting, and analyzing information management requirements.
•Developing a plan/approach for data quality analysis, and on-going data quality monitoring.
•Conducting data quality analysis on an on-going basis, and identifying issues, and options for resolutions.
•Communicating requirements, issues, and options for resolutions to various stakeholders and tailoring messages to the audience.
•Creates reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
•Proposes standards, rules, guidelines, and principles for information analysis for the enterprise.
•Designs, creates and optimizes data model and derives conversion and migration methods for existing data.
•Maintains an enterprise view of data across various systems. Works collaboratively with information governance analysts to ensure that data models and structures are compliant with governance standards.
•Works closely and collaboratively with management, stakeholders, team members, development team, DBA and infrastructure teams to optimize the overall data management delivery.
Qualifications
Specific Project Requirements
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Knowledge and demonstrated experience of Data Quality tool is an assets.
•Strong knowledge and demonstrated experience in Data Quality Analysis is required.
•Understand systems data elements, and existing data structures.
•Set up the data quality analysis framework (activities, process, requirements, and level of effort) to hand off to a business resource.
•Import source data files and save to an internal file location for review, analysis and auditing purposes.
•Validate source files for completeness and quality of format, content location and values.
•Identify qualified/approved records for system upload.
•Identify and resolve discrepancies (format, content, values).
•Work with business team members on resolving quality issues.
•Deliver data analysis reports that clearly articulate the data quality dimensions.
•Generate status reports to stakeholders on a weekly basis, and liaison with Business Lead on data analysis results and reporting.
•Over 7 years of demonstrated experience in SQL programming and refactoring
Top Skills Required:
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Well-rounded experience in the whole data lifecycle management and hands-on experience in the following data management domains: dimensional and relational data modeling, data quality, SQL programming, ETL development, metadata management and master data management, business intelligence and database administration.
•Experience with reverse engineering the source to target mapping to gain data insights
Other Skills Required:
•Experience with Azure Data Platform technologies or other public cloud offerings
•Experience with Spark SQL
•Programming experience: SQL, Python
•Experience with Power BI report development
•Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.
•Ability to understand and interpret requirements and design documents
•Ability to write and maintain documentation
Assets:
•Experience working in an Agile environment/team
•Understanding of Denodo platform
•Experience with IBM: Data Manager, InfoSphere DataStage
•Experience working on Master Data Management tool
Summary
If you're qualified and interested please submit your resume and one of our experienced Recruiters would be happy to give you a call. Thank you.
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.
show more