Data and Analytics Specialist

Altis Technology; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading analytics firm in Toronto is seeking a Data & Analytics Specialist to enhance decision-making through data strategies. The role involves designing scalable data solutions, implementing governance frameworks, and collaborating with IT and business teams. The ideal candidate will have a Bachelor's degree in Data Science and a minimum of 3 years' experience in data analytics or engineering. This position offers a dynamic workplace focused on innovation with opportunities for growth in the public or non-profit sector.

Benefits

Collaborative workplace

Opportunities for professional growth

Hands-on work with modern analytics platforms

Qualifications

• Minimum 3 years of experience in data analytics or engineering.
• Demonstrated experience in data strategy and governance.
• Hands-on experience with BI tools and programming languages.

Responsibilities

• Support the development of data strategy and governance framework.
• Design and build data pipelines from internal and external sources.
• Develop clean datasets and self-service analytics tools.

Skills

Data visualization

Data governance

Statistical analysis

Data pipelines

Collaboration

Problem-solving

Education

Bachelor’s degree in Data Science or related field

Tools

SQL

Python

Power BI

Tableau

Azure

Job description

About the Opportunity

This opportunity plays a key role in supporting an organization’s digital transformation and innovation strategy. As the Data & Analytics Specialist, you’ll leverage data to inform strategic decision-making, improve operational efficiency, and enhance member engagement across the organization.

Working closely with IT, leadership, and business teams, you’ll design scalable data solutions, deliver trusted analytics, and implement strong governance frameworks. Your work will help embed a culture of ethical, data-driven decision-making and position data as a strategic asset within a complex, member-focused organization in the public or non-profit sector.

What’s In It for You

You’ll be part of a collaborative and accountable workplace that values learning, innovation, and continuous improvement. This role offers exposure to enterprise-wide initiatives, hands‑on work with modern analytics platforms, and the opportunity to directly influence how data and AI enable organizational growth and impact.

Key Responsibilities

Data Strategy & Governance (20%)

• Support the development and continuous enhancement of the Institute’s data strategy, governance framework, and analytics roadmap, aligned with organizational goals and digital transformation priorities.
• Establish and maintain data governance policies, including access control, retention, and data quality standards.
• Ensure compliance with privacy, security, and ethical standards, including PCI, CASL, PIPEDA, and GDPR.
• Monitor and improve data quality, integrity, and interoperability across all systems.
• Champion best practices for data stewardship, ethics, and accountability across the organization.
• Develop and maintain metadata management and master data management processes, including data dictionaries, to ensure consistent data standards.
• Implement and oversee data catalog initiatives to improve data accessibility and understanding.
• Conduct regular Data Privacy Impact Assessments to ensure compliance with privacy regulations and proactively manage potential risks.

Data Infrastructure & Architecture (30%)

• Design and build data pipelines to ingest, transform, and prepare data from internal and external sources.
• Develop and manage scalable data environments, including data lakes, warehouses, or lakehouses, to support analytics, reporting, and system integration.
• Automate data workflows to improve efficiency, consistency, and reliability.
• Collaborate with the IT team to ensure the sustainability, scalability, and security of the data architecture.
• Research, evaluate, and pilot emerging data, analytics, and AI tools to advance organizational capabilities.

Analytics Development (35%)

• Develop clean, well‑modeled datasets and self‑service analytics tools for use across departments.
• Build and deploy dashboards, reports, and analytical models that enable data‑driven decision‑making.
• Apply statistical and machine learning techniques to uncover trends, predict outcomes, and support strategic initiatives.
• Translate analytical findings into clear, impactful recommendations for decision‑makers.

Collaboration & Strategic Enablement (15%)

• Partner with business units to understand data needs, define requirements, and co‑design solutions that address strategic and operational challenges.
• Contribute to the Institute’s data and AI strategy by identifying opportunities for innovation and value creation.
• Support change management and capability‑building initiatives to enhance data literacy across the organization.
• Stay current with emerging tools and methodologies in data engineering, analytics, and AI.
• Design and deliver training programs and workshops to advance staff data literacy and analytics skills.
• Serve as a liaison between IT, business units, and leadership to translate business challenges into actionable data solutions.

Skills and Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field
• Cloud or data engineering certifications (e.g., Azure, AWS, GCP) are an advantage
• Minimum 3 years of experience in data analytics, business intelligence, or data engineering
• Demonstrated experience in data strategy, governance, and analytics delivery within a complex organization
• Hands‑on experience in data pipelines, data architecture, and scalable analytics solutions
• Proficiency with BI tools and programming or analytics languages such as SQL, Python, and R
• Experience working with CRM or enterprise systems
• Ongoing training or certifications in data analytics, data engineering, business intelligence, AI/ML, or cloud platforms (e.g., Power BI, Tableau, AWS, Azure, Google Cloud) are valued
• Experience using modern analytics tools and collaborating across cross‑functional teams
• Familiarity with association management systems (e.g., iMIS), API integrations (e.g., D2L Brightspace, Informz), and member‑based data environments is considered an asset

Note from the Hiring Manager

“We’re looking for someone who takes ownership of their work, brings curiosity to problem‑solving, and enjoys partnering across teams to turn data into meaningful insights.”