OPENTEXT - THE INFORMATION COMPANY

OpenText 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 OpenText, 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

The OpenText Cloud Services organization is seeking a skilled Data Analyst to work within the Cloud Services & Enablement team – responsible for applying modern statistical and data analysis techniques to business challenges and opportunities, and specifying, designing, and deploying modern, effective, and AI/ML-assisted data solutions and associated capabilities.

 

This role supports operational excellence, acceleration, optimization, and transformation, in the enablement and delivery of OpenText’s suite of industry-leading and AI-enabled SaaS applications to our valued global customers, ultimately helping to support our vision to be the best Information Management company in the world where information elevates every individual and every organization to be their best.

 

Opentext has been named One of the World's Best Companies by TIME Magazine for the second consecutive year, was recognized by Forbes as one of the World's Best Employers for three consecutive years, including ranking within the top 20% of all global companies in 2023, and was also recognized by Forbes among the World's Top Companies for Women for the first time in 2023.

 

 
WHAT THE ROLE OFFERS

• Interpreting business and technical data, analyzing results using statistical techniques
• Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality (intersecting business and technology domains)
• Acquiring data from primary or secondary data sources and databases
• Using automated tools to extract data from primary and secondary sources
• Removing or correcting corrupted data and related problems
• Developing and maintaining databases and business reporting
• Performing analysis to assess the quality and meaning of data
• Managing own backlog of data analysis requests
• Working with diverse and cross-functional teams on cloud-related data projects
• Identifying and specifying data products and data sources
• Improving and managing data quality (in conjunction with data owners)
• Continually learning and applying new techniques to solve new and existing problems
• Demonstrating flexibility to undertake additional projects/responsibilities if needed
   

 

WHAT YOU NEED TO SUCCEED

 

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field
• Proficiency in SQL, Python, R, PowerBI, and data visualization tools.
• Familiarity with machine learning techniques highly desirable
• Proficient working with structured and unstructured data
• Strong data modelling, analysis, and problem-solving skills
• Skilled at selecting and applying appropriate statistical techniques
• Skilled at interpreting statistical results and drawing relevant and accurate conclusions
• Skilled at producing clear and appropriate recommendations from conclusions
• Skilled at creating impactful reports and presentations suitable for varied audiences
• Experience cleansing, exporting, transforming, and loading, varied and complex datasets
• Familiarity with hyperscaler cloud services (AWS, GCP, Azure) desirable
• Understanding of Master Data Management (MDM) principles desirable
  • Good written and verbal communication skills
  • Growth mindset
  • Experience in a rapid-paced environment and willingness to undertake new challenges

 

 

One Last Thing 
OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned. 
Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

 

 

 

 

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at [email protected]. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

 

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. A summary of those benefits can be found on our Why Join Us page. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

Salary Range: $60,000 - $90,000; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.