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RQ00456 - Business Analyst - Senior

Source Code

Toronto

Hybrid

CAD 80,000 - 100,000

Full time

Today
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Job summary

A healthcare analytics firm is seeking a Senior Business Analyst for a 1-year contract in Toronto. The role involves leading business analysis to support complex I&T initiatives, engaging with stakeholders to gather requirements, and translating them into actionable specifications. Key responsibilities include advising on data assets, managing project progress, and resolving data quality issues. Preferred qualifications include over 5 years of experience in data analysis and strong communication skills. This role supports a hybrid work model, requiring up to 2 days onsite per week.

Qualifications

  • 5+ years of experience in data analysis.
  • Experienced in handling various data formats and data models.
  • Strong communication and stakeholder engagement abilities.

Responsibilities

  • Advise business and analytics teams on data assets.
  • Identify data gaps and opportunities for projects.
  • Support project planning and risk management.
  • Translate technical concepts for business users.
  • Collaborate to define data sources and roles.
  • Investigate and resolve data quality issues.

Skills

Data related analyst experience
Working with various data formats
Communication and stakeholder engagement skills
Project management skills

Tools

Azure Data Hub
Job description

RQ00456 - Business Analyst - Senior

Hybrid -525 University Avenue - Up to 2 days onsite (subject to HMs discretion)

1-year contract

Ontario Health -Strategy, Planning, Privacy & Analytics

1 Position

Ontario Health requires a Sr. Business Analyst to lead end-to-end business analysis in support of complex I&IT initiatives. The resource will work with business stakeholders and subject matter experts to gather, document and translate requirements into clear specifications that enable fit-for-purpose analyses and data solutions. The analyst will support strategy development, business cases, end-user training, and feasibility assessments, while applying industry best practices, standard methodologies, and IM standards. Responsibilities include facilitating requirements sessions, developing process and data models, supporting traceability, advising on business analysis standards, and preparing high-quality documentation such as briefings and presentations.

This resource will be critical to support the delivery of the successful design and implementation of the CCSO data collection, analysis and reporting activities within the Ontario Health's analytic infrastructure; being transitioned from UHN and ultimately being retired within UHN.

Responsibilities
  • Advise business and analytics teams on available data assets and suitability for project needs.
  • Identify data gaps and opportunities by comparing requirements to existing sources.
  • Support project planning, progress monitoring, and risk/issue management.
  • Ensure analytic assets comply with legal, regulatory, and privacy standards.
  • Translate technical concepts into clear guidance and documentation for business users.
  • Collaborate with stakeholders to define data sources, usage processes, and roles.
  • Review reporting templates and scripts for accuracy and actionable insights.
  • Participate in requirements gathering to ensure analytics needs are captured.
  • Investigate and resolve data quality issues, providing recommendations for improvement.
  • Work with Data Engineering to configure pipelines and support analytic asset production in the Azure Data Hub (ADH).
  • Document analytic assets, including updates to asset dictionaries and product catalogues.
Must Haves
  • 5+ years experience of data related analyst experience
  • 5+ years experience working with various data formats, data models, data dictionaries, data pipelines and governance processes across the data lifecycle
  • 5+ years experience Communication and stakeholder engagement skills
  • 5+ years experience Project management skills, with proven ability to manage deadlines, monitor progress, resolve issues, and promote effective, cost-efficient service delivery.
Nice to Have
  • Health data experience
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