IBM TM1 Developer - Planning Analytics

IBM PLANNING ANALYTICS DEVELOPER - TORONTO (HYBRID ROLE) Overview We are seeking an experienced Senior IBM Planning Analytics (TM1) Developer to design, develop, and support enterprise planning, budgeting, forecasting, and reporting solutions using IBM Planning Analytics (TM1). This role is ideal for a hands-on developer with deep expertise in TM1, Planning Analytics Workspace (PAW), and Planning Analytics for Excel (PafE) who enjoys building scalable, high-performance Enterprise Performance Management (EPM) solutions. Key Responsibilities Design, develop, and maintain IBM Planning Analytics (TM1) models, including cubes, dimensions, rules, feeders, security, and Turbo Integrator (TI) processes. Build scalable planning, budgeting, forecasting, financial reporting, and analytics solutions. Develop and optimize multidimensional data models for enterprise performance management. Design interactive dashboards, scorecards, reports, and visualizations using Planning Analytics Workspace (PAW). Create self-service analytics solutions through PAW books and workspaces while optimizing performance and user experience. Develop and maintain reporting, planning, and financial models using Planning Analytics for Excel (PafE). Build dynamic Excel reports and input templates, support advanced Excel integrations, and migrate legacy Perspectives reports to PafE where appropriate. Design and maintain ETL processes using Turbo Integrator (TI), including data loads, transformations, reconciliations, and validations. Integrate IBM Planning Analytics with ERP systems, data warehouses, and other enterprise applications. Ensure data quality, consistency, integrity, and optimal system performance across planning solutions. Required Qualifications 5+ years of hands-on experience with IBM Planning Analytics (TM1) development. 5+ years of experience developing solutions with Planning Analytics Workspace (PAW). 5+ years of experience using Planning Analytics for Excel (PafE). Strong experience designing multidimensional data models and enterprise planning solutions. Experience with Planning Analytics administration, security, and performance tuning. Understanding of Planning Analytics REST APIs and enterprise integrations. Strong SQL and data analysis skills. Preferred Qualifications Experience integrating IBM Planning Analytics with IBM Cognos Analytics. Experience working in IBM Planning Analytics Cloud environments. Experience working in Agile development environments. Industry experience in one or more of the following: Banking, Financial Services, and Insurance (BFSI) Retail Manufacturing Healthcare Preferred Certifications IBM Certified Planning Analytics Developer IBM Certified Planning Analytics Analyst IBM Cognos Analytics or related IBM Analytics certifications If you're passionate about building high-performance planning and analytics solutions that drive business decision-making, we'd love to hear from you.

Design, develop, and maintain enterprise planning, budgeting, and forecasting solutions using IBM Planning Analytics (TM1). Create interactive dashboards in PAW and dynamic reporting templates in PafE while managing ETL processes via Turbo Integrator.

Requires over 5 years of hands-on experience with IBM Planning Analytics, PAW, and PafE. Candidates should possess strong SQL skills and experience in multidimensional data modeling and enterprise integrations.

• SQLPreferred
• REST APIsPreferred
• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• IBM Planning Analytics
• TM1
• Planning Analytics Workspace (PAW)
• Planning Analytics for Excel (PafE)
• Turbo Integrator (TI)
• Multidimensional Data Modeling
• Enterprise Performance Management (EPM)
• SQL
• Data Analysis
• REST APIs
• ETL Processes
• Performance Tuning
• IBM Cognos Analytics
• Agile Development
• Financial Reporting
• Budgeting and Forecasting

• Data & Analytics
• Software
• Finance & Accounting
• Consulting
• Technology

Minimum experience

5+ years

Apply by

Sep 6, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available