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Job Description
Role: Data Analyst (Data Transformation & Reconciliation)
Work location: Halifax, NS (Remote)
Type: Contract
Day to Day Job Duties: (what this person will do on a daily/weekly basis)
- Perform detailed data analysis to support large-scale transformation and migration initiatives.
- Analyze complex data structures across multiple source and target systems.
- Develop and maintain data mapping documents (source-to-target mappings).
- Write complex SQL queries for data validation, reconciliation, and impact analysis.
- Conduct system reconciliation between legacy and new platforms to ensure data integrity.
- Identify data gaps, inconsistencies, and quality issues and recommend remediation strategies.
- Partner with business stakeholders to gather data requirements and translate them into technical specifications.
- Support ETL validation, data migration testing, and production data verification.
- Create data dictionaries, metadata documentation, and business rule documentation.
- Develop dashboards and reports to communicate findings and transformation progress.
- Collaborate with engineering, QA, and business teams to resolve data-related issues.
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
- Minimum 6+ years of experience in data analysis within enterprise environments.
- Minimum 4+ years of hands-on experience writing complex SQL queries.
- Strong experience in data mapping, data modeling concepts, and source-to-target documentation.
- Experience performing system reconciliation during large transformation or migration programs.
- Experience working with relational databases (Oracle, SQL Server, Snowflake, etc.).
- Experience supporting data migration, ETL, or cloud transformation initiatives.
- Strong analytical and problem-solving skills with attention to detail.
- Experience working in Agile or hybrid delivery environments.
Degree:
Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field.
Nice to Have; (But not a must)
- Experience with data visualization tools (Power BI, Tableau, OBIEE).
- Experience with big data platforms (Hadoop, Spark).
- Experience with cloud data platforms (AWS, Azure, Snowflake).
- Knowledge of data governance, data quality frameworks, and regulatory reporting.
- Experience in financial services, insurance, or other regulated industries.
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