Senior Data Analyst

CFMWS – Where Purpose Meets Passion!

At Canadian Forces Morale and Welfare Services (CFMWS), we’re more than just a workplace; we’re a proud community dedicated to supporting Canadian Armed Forces members, veterans and their families in their daily lives. We carefully curate and provide programs and services designed to meet their unique needs and enhance their mental, social, physical, financial and familial well-being. CFMWS employees deliver programs and services including recreation, sports and fitness programs, customized financial services, retail services, access to retail savings and discounts and offers family support and organizes charity events.

Our success stems from living our values. Our employees care about their role in supporting Canadian Armed Forces members, veterans and their families and act with integrity in all they do. Thriving in our close-knit environment, we act as one team with one mission. We constantly seek new ideas and creative ways to deliver the best possible programs and services.

As an employer, we offer a commitment to your health, wellness and growth. We provide a diverse range of roles across many locations and a career where you can make a meaningful impact.

The Role

Under the direction of Senior Manager, Data and Analytics Architecture, the Senior Data Analyst will implement analytics solutions to ingest data from various sources, analyze complex datasets, and enable dashboard creation for business teams. They will reverse engineer existing data models, assess data quality, and support migration initiatives. The Senior Data Analyst designs and develops data pipelines, performs ETL operations, and creates Power BI semantic models including business entities, relationships, and security requirements. They assist in implementing data governance frameworks while ensuring proper data mapping and transformation processes. Key responsibilities include data analysis to identify business insights, reverse engineering legacy systems, executing data migration strategies, developing ETL processes, creating Power BI semantic models, and developing dashboards and reports across development, testing, and production environments.

Qualifications Needed

Education, Certifications and Licenses

College diploma or certificate in Business Administration, Computer Science, Computer Engineering, Information Technology or a related field AND several years of experience in application development, data analysis, database design or a related field

Experience

• Data modeling methodologies (Star schema, Snowflake schema, …)
• Database platforms (SQL Server, Oracle, Azure SQL)
• Data quality frameworks and validation techniques
• Data profiling and data lineage documentation
• ETL/ELT processes and data transformation techniques
• Power BI semantic model development and DAX optimization
• Business intelligence and analytics solution implementation
• Reverse engineering of existing data systems and models
• Technical documentation and data mapping

Competencies

Client focus, organizational knowledge, communication, innovation, teamwork and leadership.

Skills And Abilities

Cross-functional team collaboration

Technical skills:

• SQL Server (advanced SQL, stored procedures, optimization), SSIS, SSRS, SSMS
• Oracle (advanced SQL, PL/SQL)
• Power BI (semantic modeling, DAX, Power Query M)
• ETL/ELT design patterns and best practices
• Azure Synapse Analytics
• Version control (Git) and DevOps CI/CD
• Lakehouse and Medallion Architecture

Language Requirements

English or French Essential, Bilingual (English and French) an asset

• Reading: Functional
• Writing: Functional
• Oral: Functional

Benefits Available

• Health Benefits: Drug coverage, healthcare spending account, virtual care (telemedicine), Employee and Family Assistance Program, mental health support, travel insurance, dental, vision, life insurance and disability insurance.
• Work Life Balance: Flexible work options and a wide range of paid/unpaid leave, including paid vacation, family related leave and personal days.
• Retirement Planning: Group Savings Plans.
• Learning and Development: Payment of professional association memberships, online learning opportunities including a LinkedIn Learning subscription and second language training.
• Perks: Discounts through CF One Member Appreciation.

Explore all the benefits CFMWS offers by visiting: https://cfmws.ca/Benefits

Other Information

This is a hybrid position with an assigned work location allowing the employee to work partly from a corporate office and partly from a home office in accordance with the CFMWS Flexible Work Options Policy, and with approval from the direct manager.

You may be eligible to receive a Scarce Skills Premium for this position as outlined in the attached IT Scarce Skills Compensation Agreement.

The selection process will be done virtually.

This position is a one-year term.

START DATE

As soon as possible

Inclusion and Accommodation

CFMWS is committed to providing an inclusive, equitable and accessible environment, where all employees feel valued, respected and supported. We welcome applications from all qualified candidates who can help us build a workforce that reflects the diversity of Canadian society. If contacted in relation to a job opportunity or assessment, you should advise the recruitment team in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner. Information received relating to accommodation measures will be addressed confidentially.

Ontario

Key skills/competency

• Data Analysis
• Data Modeling
• ETL Processes
• Power BI
• DAX Optimization
• SQL Server
• Azure Synapse Analytics
• Data Governance
• Business Intelligence
• Data Migration