AMVETS Jobs

Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

At Amazon, we're working to be Earth's most customer-centric Company and Earth's Best Employer. To get there, we need exceptionally talented, bright, and driven people. Within AWS, the Business Insights and Operations team serves as a central business operations and analytics function that supports the AWS Industries organization with actionable insights, data, and dashboards to gauge performance and refine our strategy. We also work closely with business operations and engineering teams in planning, designing, executing, and implementing reporting solutions, automating mechanisms, and driving business cadences. We are seeking an experienced Anaplan Developer to assist with the generation, standardization, and automation of forecasting models, planning processes, and reporting. Candidates should have advanced Anaplan skills and experience building models that can scale to hundreds and thousands of users. Besides Anaplan experience, the ideal candidate would also have broad technical skills including SQL expertise, user administration, report generation, and troubleshooting data issues within the Analplan ecosystem.

This role can be located in New York, NY or Seattle, WA.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Hybrid Work

We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.

Key job responsibilities

Develop a deep understanding of the business and identify/quantify levers that impact the business

Maintain existing Anaplan forecast models and ensure that the data is accurate, complete, and available in a timely manner

Identify forecasting feature gaps or planning process inefficiencies within the sales organization and translate those needs into model enhancements or new Anaplan model implementations

Develop back-end and front-end features in Anaplan following best practices (PLANS methodology)

Understand existing databases and warehouse structures in order best determine how to consolidate, aggregate, and utilize data in an efficient and scalable manner

Work with data engineering team to push data from/to Anaplan into existing data warehouses and reporting environments

Audit model calculations and provide support to end users

Develop user guides, training materials, and documentation for the end users

We are open to hiring candidates to work out of one of the following locations:

New York, NY, USA | Seattle, WA, USA

Basic Qualifications

-2+ years of relevant experience as an Anaplan model developer.

-5+ years of relevant experience as a business analyst, gathering data requirements, developing metrics and reports, using data insights to support business cases, planning, and decisions.

-1+ end-to-end Anaplan system implementation (requirements gathering, design, build/test, deploy, support).

-L1, L2, and L3 Anaplan Model Building Certified.

-Bachelor's degree in Business Administration, Finance, Computer Information Systems, Engineering, Operations Research, Mathematics or other business/analytical disciplines or equivalent experience.

Preferred Qualifications

-Master Anaplanner or Anaplan Solutions Architect Certification.

-Experience in BI design and development, UI/UX best practices.

-Experience using AWS technologies such as Redshift, GLUE, and S3.

-Experience with Tableau or other BI tools and developing dashboards.

-Experience writing and debugging SQL queries with large-scale, complex data sets in a business setting.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $108,400/year in our lowest geographic market up to $210,800/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. Applicants should apply via our internal or external career site.