Data Quality Analyst

The salary range for this position is $83,000 to $114,000. The final offer will be determined based on the successful candidate’s skills, experience, and internal equity considerations. Please note that the offer may fall anywhere within the posted range and is not necessarily at the top end.

Transportation Investment Corporation (TI Corp) is a public crown corporation dedicated to delivering major infrastructure projects in British Columbia on behalf of the Ministry of Transportation and Infrastructure. With over $19.5 in major infrastructure developments, we are committed to upholding the highest standards of construction oversight.

At TI Corp, you’ll be part of a dynamic and innovative team driving transformative infrastructure projects that make a real difference in communities. We pride ourselves on fostering a collaborative and inclusive work culture where your ideas are valued. Enjoy competitive compensation and comprehensive benefits, along with opportunities for professional growth and development. Here, your contributions will not only shape your career but also the future of our infrastructure landscape.

Join us and be a part of something impactful!

The Data Quality Analyst is responsible for ensuring the accuracy, reliability and consistency of information classified by organizational business processes using a structured taxonomy. This position provides expert advice and knowledge on how to use machine learning to automate processes for assessing, cleaning, and validating classifications to meet data quality standards and support business objectives.

• Vacation starts at five weeks and with an additional one day per year of service to a maximum of six weeks.
• TI Corp is dedicated to professionally growing staff and building internal capacity, through mentorship, active succession planning, learning and development financial assistance, and membership dues.
• Extended health and dental benefits plus a $1000 Health Spending Account annually.
• We are part of the BC Public Sector Pension Plan – if you join us from other Public Service or Public Sector organizations who are part of this pension plan, your pension will continue seamlessly.
• Hybrid work arrangement with the ability to work from home one day a week following an orientation period.
• Top-up allowance for maternity and parental leave.
• Free travel insurance for full-time employees.
• Transit subsidy program.

• Import construction documents to OnBase (TI Corp’s electronic document and records management system) and conduct metadata quality checks on imported files.
• Oversees the application of data science taxonomies for the management of information including reviewing, updating and recalling documents to monitor, update and standardize classifications.
• Leads the development of standards, procedures and protocols for the operational application of taxonomy classifications within the TI Corp information repository.
• Provides advice on the operational use, approach, evaluation, and assessment of information taxonomies.
• Coordinates and facilitates the use of taxonomy classifications for information in the custody and control of TI Corp.
• Provides advice and assistance to Projects and corporate business units regarding the classification and disposition of government information in the corporate information repository.
• Collaborates with Project and Corporate Business Units to assess the use and implementation of a corporate information repository and associated taxonomies.
• Supports the development of information management policies, guidelines, and standards.
• Develops and uses key performance indicators to improve automated document classification.
• Develops training data to create automated classification processes using machine learning.
• Supports the efficient use of automated classification processes to assign, update and manage information repository classification taxonomies. This includes identifying issues discovered during the course of using, training, configuring, and/or testing automated classification processes.
• Provides education and awareness of information taxonomy management to the organization and stakeholders.
• Represents the organization on multi-partner committees and working groups.
• Keeps current on emerging trends, issues, technologies, and approaches relating to machine learning and data science taxonomy management and application.

• Degree or diploma in data science, computer science,…