Business Data Analyst

Canadian Tire Corporation•Oakville, ON

4d•CA$53,000 - CA$88,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Experience with data governance or curation platforms considered an asset
CDMP certification considered a strong asset

Responsibilities

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