Senior Data Analyst

Title: Senior Data Analyst

Employee Working Location: Partially Virtual / Hybrid (Canada)

Employment Status: Permanent Full-time

The Canadian Red Cross (Red Cross) - an inspirational not for profit organization, helps people and communities in Canada and around the world in times of need and supports them in strengthening their resilience. As a Canada's Best Employers 2026 , we are committed to having an accessible, diverse, inclusive, and barrier-free work environment.

The Senior Data Analyst, reporting the Lead, Data and Analytics, in Humanitarian Services plays a critical role in driving data-informed decision-making by performing advanced data analysis, developing reports, and optimizing data processes. This position works with large datasets, designs dashboards and other visualizations, and provides analytics results to support business strategies. They collaborate with cross-functional teams, ensure data quality, provide meaningful insights, and contribute to the development of best practices in data management and analytics.

In this role, you will:

• Collaborate with leaders to identify data requirements and ensure data deliverables are accurate, efficient and align with

  business objectives

• Lead and coordinate data analysis, reporting, and audit activities for assigned clients or projects
• Apply advanced analytical techniques to identify trends, insights, and areas for improvement.
• Develop sophisticated visualizations and dashboards to communicate data insights to stakeholders and make data accessible
• Design and implement data-driven solutions to optimize processes, performance and leverage technology.
• Create and maintain accurate and up-to-date documentation of data processes, requirements, and specifications.
• Perform source system data analysis in order to manage source to target data mapping and ensure that mapping is up to date.
• Collaborate to rationalize and standardize cross-platform data analysis.
• Support the development of performance indicators.
• Manage assigned risks and monitor potential impacts.
• Develop reports and presentations to communicate findings and insights to partners and leadership.
• Act as a data ambassador, promoting a data-driven culture across the organization and implementing best practices for data governance, data quality assurance, and documentation based on established organizational standards
• Provide coaching and mentorship to team members and technical review of the work of others.
• Provide technical expertise to clients and colleagues in data analysis methodologies and tools
• Build relationships with clients and partners and collaborate to identify and solve problems and implement solutions.
• Work with vendors, internal and external partners to exchange information on processes, data usage, enhancements, etc.
• Partner with TG data engineers to optimize data structures and improve accessibility. Coordinate on SaaS product updates

  including support to testing.

• Ensure a seamless user experience for the platforms and systems with their areas of responsibility
• Stay current on, and ensure compliance with relevant legislation, policies, and regulations related to data management and

  privacy.

• Identify emerging trends and opportunities in the data analytics field and provide recommendations on how to leverage these to enhance the organization's data analytics capabilities.
• Identify opportunities for continuous improvement and provide recommendations to automate data processes, improve quality and efficiency.
• Actively participates in and contributes to data governance and management forums

What we are looking for:

• Qualifications include a minimum of 6-9 years experience and a 3-year college diploma or university degree and/or an

  equivalent combination of education and experience

• Requires expertise in a specialized discipline or broad experience across fields, along with an understanding of interconnections between processes and business units.
• Deep understanding of basic statistical concepts and data analysis techniques.

  Proficiency in standard computer applications (Microsoft Office Suite) and Excel (e.g. macros, VBA, functions, pivot tables,

  formulas, and charts).

• Advanced proficiency in SQL for data extraction, transformation, and optimization.
• Advanced experience and skills in data visualization techniques and software (e.g., Power BI or similar)
• Experience using Python or R for data manipulation, automation, and statistical analysis.
• Knowledge of cloud-based data platforms (e.g., Azure, AWS).
• Understanding of ETL (Extract, Transform, Load) processes and data pipeline automation.
• Experience with and understanding of best practices around data management concepts, including data quality, data cleansing, standardization, metadata management, privacy, and security governance
• Knowledge of the business area, to inform design of meaningful and focused analytics, KPIs and visualization
• Ability to identify complex problems, analyze interrelated factors, assess and mitigate risks, and develop solutions using

  specialized skills.

• Communication and influence skills to gather perspectives, understand needs, and present information to reach consensus, often in somewhat sensitive situations.
• Ability to provide guidance to others and ensure work is completed in compliance with applicable data and privacy policy and legislation
• Lived and/or professional experience with First Nations, Inuit and/or Métis Nations or communities is an asset.

Working Conditions:

• Requires significant attention to detail and concentration and ability to mentally process large amounts of information.
• The work pace is often unpredictable with significant time pressures.
• Ability to adapt to frequent and often urgent changes in priorities, and make decisions under pressure, work at an unpredictable pace.
• Work will be conducted in an office-like setting.
• May require travel to safe locations; limited exposure to adverse conditions.
• Work requires the ability to work to deadlines.
• Work requires interactions with dissatisfied clients and the resolution of complex client issues.
• In a large-scale emergency, where staff numbers are compromised or additional resources are required provide disaster relief and/or emergency field operational support