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Sr. Business Analyst

Job in Richmond Hill, Ontario, L2C, Canada
Listing for: OpenText
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 72000 - 108000 CAD Yearly CAD 72000.00 108000.00 YEAR
Job Description & How to Apply Below

Opentext
- The Information Company

Open Text is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At Open Text, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.

Opentext
- The Information Company

Open Text is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At Open Text, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.

YOUR IMPACT

Open Text is seeking a naturally curious and analytical professional to join the Cash Flow Planning & Analysis team in Richmond Hill. This is an opportunity for someone who enjoys solving complex problems, working with data, and uncovering insights that drive better business decisions. Whether your background is in finance, accounting, economics, engineering, computer science, or another quantitative discipline, success in this role comes from your ability to ask the right questions, connect the dots, and uncover answers that others might miss.

In this role, you'll work with large and complex datasets across multiple business systems to explain financial performance, improve forecasting accuracy, and identify opportunities to enhance business results. You'll investigate trends, determine root causes, challenge assumptions, and transform data into actionable insights that influence strategic decision-making. If you're energized by turning data into meaningful stories and enjoy making a measurable impact in a global organization, you'll thrive at Open Text.

What

The Role Offers
  • An analytical thinker who enjoys breaking down complex problems and understanding how things work.
  • Ability to work quickly in a fast-paced environment, work comfortably with ambiguous requirements, and work with large data sets from multiple systems.
  • Self-starter who takes ownership, demonstrates initiative, and is motivated by continuous learning and improvement.
  • An effective communicator who can translate complex analysis into clear, actionable business insights.
  • Strong interest in technology, automation, AI tools, data analytics, process design, and innovation.
  • Data analysis and forecasting of receipts, disbursements, and other cash flow activity to identify trends, explain variances, and deliver meaningful business insights.
  • Support quarterly financial results by investigating outcomes, validating data, and providing analysis to Finance leadership.
  • Lead investigations into unexpected results, operational issues, and data anomalies, identifying root causes and recommending corrective actions.
  • Identify opportunities to improve reporting, analytics, processes, and data quality through automation, coding, and continuous improvement initiatives.
  • Contribute to special projects and strategic initiatives that require strong analytical thinking and sound business judgment.
What You Need To Succeed
  • Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, Economics, Finance, Accounting, Business, or an equivalent combination of education and experience.
  • 3+ years of experience in business analysis, financial analysis, data analysis, consulting, operations, corporate finance, accounting, or a related analytical discipline.
  • Proven ability to analyze complex datasets, identify patterns, investigate issues, and develop data-driven recommendations.
  • Hands-on experience with ERP systems and at least one data analytics, programming, or business intelligence technology such as Power BI, SQL, Python, Alteryx, Tableau, or Power Query is strongly preferred.
  • The successful candidate should be comfortable using…
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