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Description

As part of the Worldwide Operations team, you will be given the tools and the environment to drive change in one of the fastest growing, largest and most complex supply chains in the world.

This role provides the perfect opportunity for a seasoned TM1/Planning Analytics developer or consultant 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.

Key job responsibilities

Design and implementation of next generation financial solutions based on a wide array of technologies with TM1 in its core.

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability

Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes

Architect finance solutions with a mindset of using all technologies that are at your disposal

Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture

Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements, and create detailed recommendations for solutions to problems that impact code owned by another group

Identify process improvement opportunities to drive innovation

Basic Qualifications

Bachelor's degree in Finance, Accounting, Engineering, Mathematics or other technical discipline

7+ years of relevant IBM Cognos TM1/Planning Analytics experience including system configuration, model building and developing reports or dashboards with TM1

TM1 technical skills: Rules and TI coding, security setup, report development, ongoing maintenance of existing models

TM1 soft skills: gathering requirements for new projects, providing user training

Experience with writing SQL queries and stored procedures

Experience with data modelling, data warehousing, and building ETL pipelines

Corporate finance experience exhibiting knowledge of financial planning, budgeting and forecasting functions and processes

Proficiency with MS Excel

Bachelor's degree in Finance, Accounting, Engineering, Mathematics or other technical discipline

Preferred Qualifications

Experience in design and optimization of data-processing systems using AWS services (S3, EMR, Lambda, Glue, Athena, SNS, Cloud Watch, Redshift, Aurora/RDS)

Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts, VBA and MS Excel

Working experience with TM1Py, REST API

Relevant corporate finance experience exhibiting knowledge of financial planning, budgeting and forecasting functions and related processes.

Familiarity with other IBM software products

Experience with design & delivery of formal training curriculum and programs

Proficiency with Microsoft Project, Visio, and SharePoint

Project management, scoping, reporting, and scheduling experience a plus

Bachelor's and/or Master's degree in Finance, Accounting, Engineering, Computer Science, Statistics, Mathematics or other technical discipline

Excellent written and verbal communication skills with a customer focused, professional demeanor

Able to work on a diverse team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $104,300/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.