
Data Quality Analyst
- Toronto, ON
- Permanent
- Temps-plein
- Provide insights into the quality of Citylitics data, including causes of data issues, explanations of anomalies, and approaches to remedy data inaccuracies
- Leverage your understanding of existing data pipelines to propose opportunities for improvement in data collection, coverage and comprehensiveness
- Uphold the integrity of our data sources by proactively identifying root causes of data quality issues and developing resolution plans that mitigate downstream impacts
- Collaborate with customer-facing teams in investigating incoming data quality requests, then developing and implementing resolution plans that deliver customer value and satisfaction
- Collaborate with backend teams on projects centered around improving quality processes, including data retrieval, enrichment, and labeling
- Participate in discussions with internal and external (client) stakeholders to understand needs and inform decisions related to data quality
- Communicate findings through concise summary reports and storytelling decks for a range of audiences, incorporating a combination of both technical and plain language as well as visualizations where required
- Inform the Citylitics data roadmap and contribute to both the planning and execution of expansion projects to grow our data universe
- Other duties as assigned
- Bachelor's Degree in Computer Science, Engineering, or Data Analytics. A background in a relevant field such as Environmental Science or Urban Planning will also be considered.
- 2 to 4 years of experience in a data analysis or data modelling role
- Advanced skills in Microsoft Excel and SQL with experience using data warehousing tools like BigQuery, Snowflake, etc
- Exceptional attention to detail with an ability to identify inconsistencies in data and distinguish anomalies from regular patterns or trends
- Experience with identifying opportunities for process improvements (i.e. automated workflows)
- Strong visual, written and verbal communication skills including summarizing and presenting technical information to non-technical audiences
- Experience collaborating with internal and/or external stakeholders to uncover data-related challenges and develop impactful, scalable solutions
- Ability to manage competing priorities and deadlines
- Familiarity with data visualization tools such as Looker Studio, Tableau,
- Experience with unstructured datasets and/or qualitative analytics
- Previous consulting or client-facing experience
- Previous experience in the public sector or municipal infrastructure industry
- This is a rare opportunity to influence positive change within one of the biggest societal challenges of our generation: sustainable public infrastructure.
- You get to support a disruptive solution with a compelling value proposition into an industry that is eager to hear from you and in a market with no direct competition.
- We live at the cross section of infrastructure, scaleup and data science/AI. There is no other team like us in Toronto.
- There is no corporate bureaucracy here. You will accomplish more here in a few months than what you would in a few years at a large, entrenched technology company.
- We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their productivity and encourage innovation through experimentation.
- We are proud to offer every CityZen an internal mentorship program, in-role professional growth, skill-based development & learning, and internal promotion opportunities.
- We work hard, we play together, we win as a team! We are on a mission to solve infrastructure while savoring the moment and celebrating the little details along the way.
Nous sommes désolés mais ce recruteur n'accepte pas les candidatures en provenance de l'étranger.