Data Analyst

Duration: 12 Months

Mandatory: GoC Reliability Clearance Required

We are seeking a Data Anlyst with manager experience for one of our client. The client has embarked on a digital transformation journey to become a more customer focused digital organization. Key to achieving the digital transformation is the data and analytics strategy. Over the last year, to enable the Digital transformation and data analytics strategy, the client has invested in developing a consolidated enterprise data platform on Azure cloud.

The Data Analyst will lead the design and implementation of data and technology solutions for the enterprise data platform. The selected candidate will be responsible for analyzing information requirements, recommending options for business and technology solutions, deliver blueprints for design, and implement them so they are aligned with client's information strategies and governance standards. The individual is experienced in information requirements collection and analysis, data modeling, and data integration. The data analysis service provider needs to quickly come up to speed on current state information architecture and familiarize themselves with client's information management context.

Primary Responsibilities

• Collecting, documenting, and analyzing data requirements through document analysis and reverse engineering legacy ETL builds.
• Designs and implements data solutions using client's data platform technologies
• Creates, reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
• Designs, creates and optimizes data flows for migration methods of existing data.
• Works collaboratively with information governance analysts and data architects to ensure that data models and structures are compliant with governance standards.
• Communicates requirements, issues, and options for resolutions to various stakeholders and tailors messages to the audience.

Project Requirements

• Understand existing applications, data stores and structures, data flows and elements.
• Reverse engineer legacy ETL to modernize it for the enterprise data platform
• Design and implement future state architectures and data solutions
• Over 7 years of demonstrated experience in SQL programming and refactoring
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with reverse engineering legacy ETL builds (Data Manager) and source-to-target mappings to design and build future data assets
• Well-rounded hands-on experience in the following data management domains: dimensional and relational data modeling, SQL programming and ETL development.
• Experience implementing medallion architecture in Databricks
• Programming experience in SQL, Python and Apache Spark
• Validation/ testing of developed data solutions by comparing to existing or proxy datasets
• Experience with Microsoft Azure or other public cloud offerings
• Experience in Agile delivery
• Experience in IBM Data Manager
• Ability to understand, interpret, develop and maintain requirements and design documents
• Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.

Assets

• Experience with ERWIN or similar data modelling tool
• Experience with Denodo data virtualization
• Experience with Power BI report development
• Bilingualism in both official languages (English and French)

We thank you for visiting the job page. Only candidates closely matching the requirement will be contacted for interview. Wishing you all the best in your job search.