Application Engineer - TM1Planning Analytics Financial Reporting Insights
Application Engineer - TM1Planning Analytics Financial Reporting Insights
Posted on :
18-04-2025
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1 Vacancy
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Job Description
As part of the brand new Worldwide Amazon Stores FinTech Reporting team you will be given the tools and the environment to drive change in one of the fastest growing largest and most complex retail orgs in the world.
This role provides the perfect opportunity to take on a wide variety of green fields projects and expand the skill set into data engineering with the AWS stack Python and TMPy.
Responsibilities:
Work with business customers developers and TM1 Support to research document and resolve TM1 system issues
Work with crossfunctional teams to develop and continuously improve solutions that accelerate cycle times alleviate cumbersome manual processes and ensure financial results are accurate
Interact with business customers to understand and document their business processes and requirements
Manage ongoing user & system support activity according to priority (including rotational oncall availability for critical systems support) and coordinate largescale change requests with development teams
Able to code with any python or any such programming language to calculate and present data.
Key job responsibilities
Deliver reliable scalable and efficient business solutions by supporting all phases of the software development life cycle (SDLC) including requirements gathering modeling & design development testing deployment integration and documentation.
Partner with peer Finance teams to discover new development opportunities and identify bestpossible innovative solutions.
Work with crossfunctional teams to develop solutions that accelerate cycle times eliminate cumbersome manual processes and ensure financial forecasts become increasingly more accurate.
Provide support and improvement across series of internally development models systems and tools.
Bachelors Degree in Information Systems Computer Science Engineering Math Finance/Accounting or a related discipline
1 year experience working in financial planning/budgeting business analysis or a related analytics field that includes financial modeling problem solving and gathering/translating business requirements
1 year experience working with IBM Cognos TM1 (Planning Analytics) solutions or related Performance Management technologies (Hyperion SAP Anaplan or similar)
Experience with dimension management software processes and MDM tools
Experience with Python particularly TM1Py.
Project management & reporting experience and familiarity with software development methodologies
Familiarity with AWS solutions such as S3 and Redshift Knowledge of SQL authoring RDBMS database interaction data warehousing concepts or thirdparty ETL tools
Successful experience working in a fastpaced resultsoriented environment
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104300/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
This role provides the perfect opportunity to take on a wide variety of green fields projects and expand the skill set into data engineering with the AWS stack Python and TMPy.
Responsibilities:
Work with business customers developers and TM1 Support to research document and resolve TM1 system issues
Work with crossfunctional teams to develop and continuously improve solutions that accelerate cycle times alleviate cumbersome manual processes and ensure financial results are accurate
Interact with business customers to understand and document their business processes and requirements
Manage ongoing user & system support activity according to priority (including rotational oncall availability for critical systems support) and coordinate largescale change requests with development teams
Able to code with any python or any such programming language to calculate and present data.
Key job responsibilities
Deliver reliable scalable and efficient business solutions by supporting all phases of the software development life cycle (SDLC) including requirements gathering modeling & design development testing deployment integration and documentation.
Partner with peer Finance teams to discover new development opportunities and identify bestpossible innovative solutions.
Work with crossfunctional teams to develop solutions that accelerate cycle times eliminate cumbersome manual processes and ensure financial forecasts become increasingly more accurate.
Provide support and improvement across series of internally development models systems and tools.
Bachelors Degree in Information Systems Computer Science Engineering Math Finance/Accounting or a related discipline
1 year experience working in financial planning/budgeting business analysis or a related analytics field that includes financial modeling problem solving and gathering/translating business requirements
1 year experience working with IBM Cognos TM1 (Planning Analytics) solutions or related Performance Management technologies (Hyperion SAP Anaplan or similar)
Experience with dimension management software processes and MDM tools
Experience with Python particularly TM1Py.
Project management & reporting experience and familiarity with software development methodologies
Familiarity with AWS solutions such as S3 and Redshift Knowledge of SQL authoring RDBMS database interaction data warehousing concepts or thirdparty ETL tools
Successful experience working in a fastpaced resultsoriented environment
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104300/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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