Reporting to the Manager, Quality, the Quality Data Analyst II is responsible for transforming Quality raw data into actionable insights that contribute to strategic decision-making.
Designs, develops, and maintains interactive and strategically informative Power BI dashboards and reports tailored to the unique requirements of the shipbuilding industry.
Creates data models and data structures within Power BI to ensure efficient data organization and retrieval; implement data transformations, calculations, and aggregations to support analysis and reporting needs.
Integrates data from various sources into Power BI, ensuring data accuracy and consistency.
Generates regular reports and ad-hoc analyses using Power BI; customizes reports based on users’ requirements to provide insights to support decision-making processes.
Analyzes complex data sets related to Quality processes and their interaction with processes from other disciplines; designs performance metrics reports to identify trends, patterns, and areas for improvement.
Provides insights into the Quality measures of processes.
Collaborates with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Communicates findings and insights to both technical and non-technical interested parties.
Proactively identifies opportunities for process improvement and automation.
Ensures the integrity, security, and quality of data through effective data governance practices; establishes and enforces data standards and best practices within the Quality and shipbuilding data environment.
Other duties as required by the Quality group and the business.
Requirements
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or related discipline.
Minimum of 3 years of experience as a data analyst.
Proven experience as a Data Analyst or in a similar role.
Ability to identify and understand business and leadership needs to source the right data and translate them into useful metrics.
Capability of inquisitive approach to ask critical questions to fully understand requirements.
Proficient critical thinking to identify valid sources of data, evaluate and challenge processes, ask key questions, assess alternative options, and test hypotheses against relevant criteria.
Proficiency in DAX (Data Analysis Expressions).
Proficient in data analysis tools and languages (e.g., SQL, Databricks, Python, R) is a plus.
Experience with data visualization tools such as Power BI.
Experience with Co-Console is preferred.
Excellent communication skills with the ability to convey complex findings simply to non-technical interested parties.
Familiarity with database management and Quality concepts.
Ability to work independently and collaboratively in a demanding environment.
May require security clearance through the Canadian Controlled Goods Program (Controlled Goods Regulations) and Defense Production Act; must maintain security clearance throughout employment.
Benefits
Free on-site gym
Parking is included
Extended health care (paramedical services for massage therapy, speech therapy, mental health coverage, physiotherapy, and more)
Dental care
Vision care
$500 personal spending account
Employee Family Assistance Program (EFAP)
Annual bonus
Pension plan matching
Very competitive salary in line with experience
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata modelingdata transformationDAXSQLDatabricksPythonRdata visualizationperformance metrics
Soft skills
critical thinkingcommunicationcollaborationinquisitive approachproblem-solvingindependenceadaptabilityattention to detailanalytical skillsbusiness acumen