Senior Planning Analytics (TM1) Developer

SUMMARY:
WE ARE HIRING

POSITION INFO:

• Have knowledge of and able to:
• Design, build, test and deploy multidimensional cubes, rules and ETL processes; to name a few.
• Maintain existing TM1 Models.
• Develop user interfaces for capturing data; development of PAW reports and maintenance thereof.
• Post deployment support and maintenance; along with creation of technical and ‘how to’ documentation.
• Integration of new sources of data so that it can be included in relevant processes and pushed to the necessary tool as determined by our clients.
• User & Permission Management
• Monitor Server Performance
• User Training
• Continually searching for new and useful ways to obtain, integrate and analyse data that is relevant to the company’s business model.
• Find ways to, on a continuous basis, improve processes within current systems. Taking a proactive, rather than reactive approach.
• Troubleshooting and problem-solving of problematic and complex user queries.
• Translating client requests into technical requirements - creating comprehensive project roadmaps and ensuring this is executed as effectively and efficiently as possible.
• Be involved in defining development best practices and applying them to the larger team.
• Teach and mentor colleagues and junior members within the team - upskill and invest time in their skill set and success.

• Support end users with the IBM Planning Analytics (TM1,PAX,PAW) system.

Essential Criteria:

• At least 5 or more years of IBM Planning Analytics (TM1) development experience in a Finance environment.
• Undergraduate degree (or substantial progress towards one) with majors in Information Systems/Technology, Mathematics, Statistics, Engineering or similar. Alternatively, at least 5 years work experience in a business intelligence role will be considered.
• Considerable knowledge and experience with cube technology.
• Proficient in Excel (including pivot tables, graphs, Get Data from different source).
• Conceptualizing new solutions based on business requirements.

• Considerable knowledge and experience with dimensional modeling.
• Considerable knowledge and experience with PA, PAW and PAX.
• Considerable knowledge and experience with OLAP tools.

Advantageous Criteria:

• Strong understanding of the fundamentals of financial accounting
• SQL Knowledge
• VBA Knowledge
• Python knowledge
• Experience solving complex problems using data analysis

• Willingness to learn a new software tool