Business Data Analyst

What You’ll Do: As the Business Data Analyst, you will provide structured transparency and management of our data assets. By focusing on data sourcing, integration, data quality and governance principles, the Business Data Analyst will ensure we know where our data comes from, is stored, is going and how it is being used and transformed along the way. The Business Data Analyst will enable a collaborative data environment where all stakeholders have access to the data they need, understanding, confidence and trust in the data they use and support for the data they steward. Promote and contribute to the development and continuous improvement of data governance and data management standards, policies, procedures and controls Continuously assess the current state of our data environment to identify process improvement opportunities such as inefficient table structures, ineffective load processes, R.O.T. or metadata and reference data enhancements Proactively monitor data, metadata and reference data and support the data stewardship community in resolving identified data quality and data integrity concerns Maintain data models as well as metadata and documentation such as data glossaries and catalogs, data mappings, data lineage and data classifications Participate in data integrations as the liaison between I.T., business data owners\stewards and subject matter experts and conduct data profiling and data discovery to support these efforts Maintain open communication between all data stakeholders, from data producers to consumers, and remain an active enabler of the data governance structure of the Bank   What You Bring: Post-secondary education in Computer Science or related program Proficient in PL/SQL and confident working in a structured data environment Exposure to some of the following tools or technology: Oracle, Databricks, IKC, Azure, GCP, Big Query, Hadoop, Hive, Python, R, Shell Scripting, SAS, basic Linux commands Experience working with data in a corporate environment and supporting cross-functional data governance including monitoring data quality, recommending improvements in data, data modeling, data classification and data governance capabilities Clear understanding of data management concepts: Big data/Hadoop, data lake, data warehouse, data mart, relational databases, data ingestion/ETL, master data Analytical mindset and critical thinking skills Advanced working knowledge of Microsoft tools including Visio, PowerPoint and Excel Good understanding of emerging data technologies Experience with data governance or curation platforms considered an asset CDMP certification considered a strong asset   Location : Oakville, Ontario (Hybrid: In-office 4 days a week)   We’re always looking for great talent! In addition to competitive pay, we offer: Comprehensive benefits and retirement programs Performance incentives, Continuing Education Programs Other perks to support your well-being Career growth opportunities…