Data Analyst

Responsibilities

• Validate data sources, transformations, and analysis against reference data to ensure quality, accuracy, and completeness of derived reports.
• Complete data discovery and mapping of shipyard enterprise applications.
• Develop documentation of business requirements, data sources, infrastructure, and reports to provide clarity and context for data consumers throughout the shipyard.
• Develop dataflows and datasets using Power Query, M, DAX & SQL.
• Build dataset requirements, metrics, data/report definitions and establish reporting governance processes.
• Optimize and standardize all stages of the data analysis process, from extraction through to modelling & visualization.
• Collect, validate, interpret, and organize various types of data into relevant metrics and reports and/or summaries for designated business objectives.
• Collaborate with and support training and knowledge transfer to business end users of data sources.
• Act as a Business Intelligence Subject Matter Expert (SME) supporting team members in the use and interpretation of data and understanding of metrics and reporting requirements.
• Understand business objectives and provide ad hoc data extracts by working with business partners.
• Effectively interpret diverse data sources and extract meaningful information while maintaining expert knowledge of all these data sources.

• Minimum bachelor’s degree in Computer Science, Statistics, Business, or a relevant field. An equivalent combination of education and/or work experience will be considered.
• Minimum 4 years of experience with business analytics, statistical analytics, KPI development and metrics reporting, preferably in a Program & Project Management environment with quantitative, financial or metric analysis on multiple large‑scale data warehouses.

• Experience with ground‑up/full stack analytics solutions, including development of data sources, loading/transformation, analysis/modelling, reporting, and end‑user experiences.
• Well-developed understanding of database structure, business object models, and large‑scale data processing techniques.
• Significant experience with Microsoft Power Query, M, DAX & SQL.
• Proven experience working with data and databases, including programming languages and BI tools such as SQL, Power BI, to build dataflows, datasets and analytical solutions and create visual insights and dashboards.
• Familiarity and understanding of KPI analysis, performance measurement, financial systems and project scheduling/controls systems.
• Demonstrated data analytic skills including ability to merge multiple data sources into meaningful information, review incomplete data, problem solve to fill gaps and provide recommendation for meaningful solutions.
• Strong technical communication ability, including the ability to clearly and concisely document and communicate complex data structures and process maps.
• Robust analytical and problem‑solving skills.
• Excellent verbal and written communication and interpersonal skills for effectively communication.
• Well‑developed organizational skills, including ability to prioritize a variety of work assignments.
• Experience with Azure Analytics Services, including Azure Analysis Services, is an asset.
• Ability to work independently with minimal supervision and superior time management skills.
• Experience with Microsoft Power Platform, including Power Apps and Power Automate (Flow), is an asset.
• Proficiency in SQL for querying and analyzing data from relational databases.
• Experience with data visualization tools such as Tableau, Power BI, or Looker to create interactive dashboards and reports.
• Knowledge of programming languages such as Python or R for data analysis and manipulation.

$42.00 - $57.00 per hour.