Intermediate Business Intelligence Specialist

Cynet Systems Inc; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Strategist to align business goals with data requirements. The role involves mapping data flows across Azure, conducting data analysis, and ensuring compliance with governance standards. The ideal candidate will have extensive experience in data analysis, strong SQL and Power BI skills, and the ability to communicate effectively with senior stakeholders.

Qualifications

• 6+ years of experience in data analysis or analytics consulting.
• Proven experience with Azure data services at scale.

Responsibilities

• Act as a data strategist translating business goals into data requirements.
• Lead mapping of complex data flows across Azure components.
• Conduct high-value data investigations and deliver advanced dashboards.

Skills

Data Analysis

SQL

Power BI

Executive Communication

Leadership

Education

Bachelor’s or Master’s degree in Data Science

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Information Systems

Tools

Azure Data Factory

Azure Synapse Analytics

Data Lake

SQL Databases

Azure DevOps

Jira

Job description

Job Description:

Responsibilities:

Strategic Business And Data Alignment:

• Act as a data strategist and trusted advisor to senior business stakeholders, translating business goals into data requirements and actionable solutions.
• Lead Client sessions and stakeholder interviews to deeply understand business drivers, KPIs, and analytical needs across departments.

Data Mapping And Azure Ecosystem Leadership:

• Lead the mapping of complex data flows across Azure components, including Azure Data Factory, Azure Synapse Analytics, Data Lake, and SQL Databases.
• Work closely with data architects to ensure business requirements are aligned with data models, pipelines, and architectural standards.
• Develop and maintain robust documentation, including data lineage, flow diagrams, and interface mapping.

Change Request And Implementation Governance:

• Own the lifecycle of high-impact change requests: from impact analysis and prioritization through to deployment and post-implementation review.
• Collaborate with product owners, developers, QA teams, and DevOps to ensure changes are implemented with minimal disruption.
• Manage change control boards, sprint planning sessions, and delivery timelines for data platform initiatives.

Data Governance, Quality, and Compliance:

• Partner with data governance and compliance teams to ensure data solutions adhere to enterprise standards, privacy policies, and security frameworks.
• Define data quality metrics and collaborate on anomaly detection and resolution processes.

Advanced Data Analysis And Reporting:

• Conduct high-value data investigations and complex queries across structured and unstructured datasets.
• Deliver advanced dashboards and reporting solutions in Power BI, ensuring consistent performance, reliability, and stakeholder satisfaction.
• Provide insights and recommendations to executive stakeholders using robust analytical storytelling.

Minimum Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related technical discipline.
• 6+ years of experience in data analysis, business analysis, or analytics consulting within enterprise environments.
• Proven experience working with Azure data services at scale, with strong familiarity with data pipelines, transformation layers, and storage components.
• Advanced proficiency in SQL, Power BI.
• Demonstrated success in managing complex data projects, including multi-stakeholder coordination, technical translation, and delivery oversight.

Preferred Qualifications:

• Experience with Agile methodologies, sprint planning, and backlog management (e.g., Azure DevOps, Jira).
• Certifications in Azure Data Fundamentals.

Key Competencies:

• Executive Communication: Ability to engage and influence senior leaders with data-driven storytelling.
• Systems Thinking: Holistic understanding of how data flows through people, processes, and technology.
• Leadership: Self-starter with the ability to lead cross-functional initiatives with minimal oversight.
• Attention to Detail: Precision in requirements documentation, quality assurance, and delivery hand-offs.