Data Analyst-Da - Canada

Role: Data Analyst-DA

Location: Alberta-Onsite

Duration: 6-12+ Months

Roles, Responsibilities and Qualifications

Role Description

A Data Analyst provides expertise in instrumentation and data collection, data-driven storytelling, statistical analysis, modelling and data visualizations, developing data policies and governance standards, and developing service analytics standards and practices (inclusive of both digital and non-digital service implementation).

Responsibilities

• Works to implement develop, and share service metrics and service performance dashboards for internal and public use.
• Creates data statistical analysis and data visualizations leveraging data querying languages within available data management technologies.
• Other responsibilities as required or requested.
• Facilitates and informs program area workshops about current data and performance practices.
• Supports corporate priorities based upon data-driven evidence by leveraging existing and new analytics, data visualizations, data modeling and storytelling.
• Creates plans and strategies that will identify the various linkages between new and existing data forms, resulting in the integration of data models, development of data policies, and presentation of statistical analysis and data visualizations to help understand and improve service delivery online and offline.
• Researches best practices and makes recommendations for the direction of data-driven governance policies to support the adoption of digital services, and service delivery information management.
• Mentors team members and others to develop and grow their analytics fluency.
• Supports governance based on the service data model, service analytics standards, and the development of analytics tools, inclusive of both digital and non-digital service implementation.
• Uses the service journey to frame future measurement models.

Qualifications a) Experience leading data science and analytics work, including digital and non-digital services.

• Experience with leadership, communications, relationship building, and planning.
• Experience developing and maintaining relationships with multiple clients and stakeholders, including negotiating agreements and resolving conflicts.
• Experience with current methodologies in analytics, data visualizations, data modeling and storytelling.
• Experience working in a complex enterprise environment (10,000 employees or greater).
• Experience with agile projects in a public sector organization.
• Experience working with cross-functional teams to understand detailed requirements and align these requirements with product vision and user needs.
• Experience with quantitative research methods such as surveys.
• Experience with web development and digital product design.
• Experience providing analytics support to user experience, customer experience, or service design teams.