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Maplesoft implements TimeLive for Electronic time tracking. Please view the demo below on how to enter and approve time. Do you want to work in a dynamic environment where your contributions count? At Maplesoft, we value the contributions of all our employees and contractors. We listen and act upon suggestions, advice, and innovative ideas to further our strategic vision. In turn, Maplesoft contributes to the communities where we live and operate. We think globally, but act in our own backyards. Build your future with Maplesofts exciting technologies, deep partnerships, personal approach to consulting services, professional development opportunities and exciting company culture. If you are interested in any of following job openings, please apply directly to [email protected], citing the position titleandjob id in the email subject line. Location Hybrid - Guelph, Burlington or Mississauga, ON Job Title: Senior Data Analyst/Modeller Contract Length: 12 Months Location: Hybrid in Guelph, ON Federal Government Clearance Level Required: None Vacancy Type: New Position About Us Maplesoft Group is currently seeking a hybrid Senior Data Analyst/Modeller for our client. Position Summary We are seeking a Senior Data Analyst / Data Modeler with 8+ years of experience supporting the delivery of client data products for our client. The role focuses on capturing business requirements, translating them into logical and physical data models, and partnering closely with data engineers to enable scalable client centric data solutions. Key Responsibilities - Lead the elicitation and documentation of business, analytical, and data requirements from cross-functional stakeholders. - Translate business needs into well-structured conceptual, logical, and physical data models. - Design and maintain client-centric data models (Customer, Household, Account, Interaction, Relationship hierarchies). - Develop and enhance data structures supporting a 360 client view. - Partner closely with data engineers to ensure scalable, performant implementation of data models. - Contribute to enterprise data foundations, ensuring consistency, reusability, and scalability. - Apply best practices in data modeling, data governance, and data quality management. - Ensure alignment with enterprise standards, naming conventions, and metadata management practices. - Support Master Data Management (MDM) initiatives and customer data harmonization efforts. - Provide subject matter expertise in client data domains across platforms and initiatives. Required Qualifications - Experience with Master Data Management (MDM) platforms and principles. - Strong Salesforce experience. - 8+ years of experience in data analysis and data modeling within enterprise or client-facing data environments. - Proven experience designing Customer 360 / Client 360 data models. - Strong handson experience building conceptual, logical, and physical data models. - Strong working experience with Salesforce data structures and integrations. - Deep understanding of data modeling methodologies (3NF, dimensional modeling, canonical modeling). - Experience with data quality frameworks. - Experience with data governance and stewardship concepts. - Experience working with enterprise data platforms and modern data ecosystems. - Strong stakeholder engagement and communication skills. Preferred Qualifications - Experience supporting largescale customer data transformations. - Experience with Databricks and Pyspark. - Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS, GCP). - Familiarity with data catalog and metadata tools. - Financial services, retail, or customercentric industry experience is a plus. Compensation Salary Range: $65.00 $90.00 per hour Application Submission Details Submission Deadline: Thursday, February 19 2026 3:00pm EST How to Apply Submit your resume to: [email protected] or https://www.maplesoftgroup.com/Careers/Career-Opportunities Maplesoft is an equal opportunity employer and welcomes applications from all qualified candidates. Accommodations are available upon request throughout the recruitment process. Ready to Excel? Think you're a great fit for our team? Explore our Job Opportunities page. #J-18808-Ljbffr