Drive the completion of data projects and deliverables, including the execution of highly complex data solutions.
Demonstrate best practices, processes, and standards for user story development, data analysis, architecture, modeling, design, coding, and testing.
Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables.
Design principles, models, and mappings for transactional and analytical systems, serving both strategic and tactical needs.
Work closely with the business, mapping their most pressing business problems to data and analytic solutions.
Develop data models and data transformation logic.
Work with data engineers to implement data pipelines.
Prototype data solutions to enable the measurement or monitoring of key performance indicators.
Collaborate with senior management to understand data needs in support of departmental goals.
Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue\/risk management.
Become the subject matter expert in multiple data domains.
Define company standards around data quality.
Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily, and accurately.
Enable the data science team to build ML models by designing and providing high-quality data.
Establish and maintain effective and positive relationships with internal and external customers.

BS degree in Computer Science, Engineering, Mathematics, or a related field and 8 years of work experience.
Advanced knowledge in translating business rules to technical data requirements.
Advanced SQL knowledge.
Expertise in building data warehouses.
Advanced knowledge of user story development, data warehouse design and modeling (3rd normal form and dimensional modeling), data integration design and development, and\/or performance tuning.
Excellent skills in coordination with multiple teams for project execution and issue resolution.
Demonstrated oral\/written communication and presentation skills to effectively communicate complex technical information while inspiring and motivating others.
Advanced problem-solving and troubleshooting skills.
Advanced knowledge of work estimation, design review, code review, and data testing techniques.
Willingness to play multiple roles for different projects, e.g., data analyst, developer, tester, etc.
Advanced knowledge of big data platforms (e.g., Data Bricks, Delta Lake, Apache Spark, Snowflake, Redshift).
Experience with Relational Database Management Systems (e.g., Azure SQL, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB).
Knowledge of ETL processing tools (e.g., DBT, Databricks, Python).
A commitment to data security and privacy.

Location: Remote - Canada, Mexico

Skills required for this job:

Senior Enterprise Data Analyst

Resume Keywords to Include