Sr. Data Analyst to lead the design and implementation of an information management and technology solutions for the enterprise data platform

Our valued client is looking Sr. Data Analyst to lead the design and implementation of information management and technology solutions for the enterprise data platform.

This is a remote opportunity, based in EST time-zone

Tasks include:

• Collecting, documenting, and analyzing information management requirements.
• Developing a plan/approach for data quality analysis, and on-going data quality monitoring.
• Conducting data quality analysis on an on-going basis, and identifying issues, and options for resolutions.
• Communicating requirements, issues, and options for resolutions to various stakeholders and tailoring messages to the audience.
• Creates reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
• Proposes standards, rules, guidelines, and principles for information analysis for the enterprise.
• Designs, creates and optimizes data model and derives conversion and migration methods for existing data.
• Maintains an enterprise view of data across various systems. Works collaboratively with information governance analysts to ensure that data models and structures are compliant with governance standards.
• Works with members of the Enterprise Architecture team to provide technical leadership and communicate closely with management about deliverables, schedule, possible risk and appropriate contingencies.

Must haves

• Eligible for reliability clearance with the Federal Government
• Knowledge and demonstrated experience of Oracle Enterprise Data Quality (OEDQ) tool is required
• Well-rounded experience in the whole data lifecycle management and hands-on experience in the following data management domains: dimensional and relational data modeling, data quality, SQL programming, ETL development, metadata management and master data management, business intelligence and database administration.
• Experience with Azure Data Platform technologies or other public cloud offerings
• Experience with IBM: Data Manager, InfoSphere DataStage
• Experience with Spark SQL

Nice to Have:

• Programming experience: SQL, R, Python
• Experience with Power BI report development
• Understanding of Denodo platform
• Experience working in an Agile environment/team
• Bilingualism in both official languages (English and French)