Business Data Analyst

OVERVIEW

We are seeking a highly analytical and self-directed Business Data Analyst to support data research, data mapping, and curation activities across the Data Analytics Center of Excellence. The successful candidate will work closely with cross-functional partners — including data engineering, analytics, and business teams — to research data sources, translate business needs into technical data requirements, and support the development of scalable data platforms.

This role is ideal for a curious, detail-oriented data professional who excels in structured environments and is comfortable mining data warehouses, building source-to-target mappings, and collaborating on data-driven solutions.

Location: Remote, Ontario

Contract Length: 6 Months (Extension Likely; Potential for FTE Conversion TBD)

Hours: 9 AM–5:30 PM EST (7.5 hrs/day + lunch)

Experience Level: Intermediate to Senior (5–7+ years)

RESPONSIBILITIES

• Mine, profile, and curate data from enterprise data warehouses to support diverse business reporting needs.
• Elicit, document, and validate data requirements by collaborating with business stakeholders and analytics teams.
• Translate high-level business concepts into actionable requirements, detailed data maps, and transformation logic.
• Develop source-to-target mapping specifications for new and existing data integrations.
• Perform advanced SQL queries, data profiling, and validation to ensure data completeness and accuracy.
• Prepare clear and concise documentation to support development of new data platform components and integrations.
• Collaborate with data engineering teams to ensure proper implementation of mappings and transformation rules.
• Ensure adherence to data quality, governance, compliance, and proper handling of sensitive data (including masking).
• Support testing efforts by validating datasets, identifying issues, and driving remediation.
• Maintain knowledge repositories, tracking issues, data definitions, and mapping updates.
• Work effectively in a self-directed environment with evolving requirements and shifting priorities.
• Partner with cross-functional teams to deliver high-quality, timely, and well-structured data solutions.
• Anticipate business questions and proactively design data views or reporting frameworks to support insight needs.

QUALIFICATIONS

• 5–7+ years of progressive experience in data analysis, business data mapping, or data research roles.
• Strong ability to understand business reporting requirements and determine associated data needs.
• Demonstrated experience writing complex SQL, performing data mining, and profiling structured data sources.
• Proven ability to design source-to-target mappings and document transformation specifications.
• Experience preparing data documentation, requirements, and mapping artifacts for development teams.
• Strong analytical, critical thinking, and problem-framing skills.
• Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.
• Comfortable working independently in self-directed scenarios with flexible or evolving requirements.
• Proficiency with relational databases and SQL-based data analysis workflows.
• Understanding of data quality, compliance requirements, and sensitive data handling practices.
• Bachelor's degree in Information Systems, MIS, Data Analytics, Computer Science, Engineering, Mathematics, or a related discipline.

Preferred

• Experience with modern data platforms or ETL/ELT tools.
• Familiarity with data governance frameworks and data management best practices.
• Exposure to BI/reporting tools (e.g., Power BI, Tableau, Looker).

Notes for applicants:

Resumes must clearly detail hands-on experience with SQL, data profiling, and source-to-target mapping. Candidates should demonstrate experience working with enterprise data environments and supporting data documentation for technical teams.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.