Principal Data Analyst

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're hiring talent that AI can't replace to help us shape the future of information management. Join us.

As a Principal Data Analytics Engineer within the Sales Analytics team, you will be instrumental in building the data infrastructure and analytical solutions that empower our Sales organization to operate more intelligently and efficiently. This role sits at the intersection of data engineering and analytics, where you'll transform raw data into scalable models, automate manual processes, and deliver insights that drive measurable business outcomes. A core responsibility of this role is partnering with the Account Master Data team to manage and optimize our account hierarchy and account master data systems. You will maintain and enhance the current data models, improve applications used by the team, and ensure data integrity across our global Sales organization.

You will work closely with Sales leadership and cross-functional stakeholders to understand their challenges, then architect and implement robust data solutions that provide clarity, speed, and confidence in decision-making. Your work will directly impact revenue operations—from pipeline visibility to territory optimization to performance forecasting.

WHAT THE ROLE OFFERS

Account Master Data Management & Modeling

• Build and improve applications and tools used by the Master Data team to manage account data quality, validation, and governance processes.

• Design and implement data models that ensure consistency, accuracy, and scalability of account master data across systems.

• Develop automated workflows to streamline account data maintenance, hierarchy updates, and data quality monitoring.

Data Engineering & Model Development

• Design and build dimensional data models that support Sales reporting, analysis, and operational workflows across the organization.

• Develop and maintain efficient SQL queries and data pipelines that ensure data accuracy, consistency, and accessibility for downstream analytics.

• Create reusable data assets and frameworks that accelerate insight delivery and reduce technical debt.

Process Automation & Optimization

• Identify repetitive manual processes within Sales operations and build automated solutions using Python, SQL, and other automation tools.

• Develop scripts and workflows that streamline data collection, transformation, and distribution to key stakeholders.

Analytics Solutions & Insights

• Translate business requirements into technical specifications, building analytics solutions that address critical Sales questions around pipeline health, win rates, forecasting accuracy,