AMVETS Jobs

Description

Within Amazon’s Corporate Financial Planning & Analysis team (FP&A), we enjoy a unique vantage point into everything happening within Amazon. As part of that, our team designs, builds & maintains an integrated planning & reporting platform that enables hundreds of finance representatives across the globe.

In addition to requiring a high level of technical expertise within Cognos this role is about understanding the needs of the business, the data behind it, and how to transform this information into technical solutions that allow the business to make swift, informed decisions. Ideal candidates will have expertise in all phases of the software development life cycle in managing a team to build models that scale over time while balancing accuracy, flexibility and speed.

The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!

Key job responsibilities

• Deliver reliable, scalable, and efficient Cognos solutions by managing 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 utilizing to ensure consistent design & integration.

• Work with cross-functional teams to develop solutions that accelerate cycle times, alleviate cumbersome manual processes, and ensure financial results are accurate.

• Identify process improvement opportunities to drive innovation

• Support dimension management, metadata design/maintenance, ETL development, and data validation processes.

• Rotational on-call availability for critical systems support

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

Bangalore, KA, IND

Basic Qualifications

• 15+ years of relevant finance or financial systems experience in developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting.

• Bachelor’s Degree (or foreign equivalent) in Computer Science, Finance, Accounting, Economics or other closely related fields.

• Demonstrated history of managing cross-functional projects, problem solving, financial acumen, and business partnering skills

• Relevant corporate finance experience exhibiting knowledge of financial planning functions and related processes.

• Quick learner with a positive attitude, professional demeanor, and strong analytical and troubleshooting skills

• Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams

• Quick learner with a positive attitude and professional demeanor, and strong analytical and troubleshooting skills.

Preferred Qualifications

• Ability to work independently and self-motivate in a fast-paced and rapidly changing environment.

• Experience architecting business solutions that leverage the right technology

• Experience advocating and proliferating best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation

• Direct experience using Business Intelligence (BI) reporting tools, preferably Cognos v10x (Report Studio, Analysis Studio, Workspace, Framework Manager), or similar technology (OBIEE, BusinessObjects, Tableau, MicroStrategy, SAP, etc.).

• Experience with dimension management software processes and MDM tools (Oracle DRM) - Advanced knowledge of SQL, Oracle, OLAP, and data warehousing concepts.

• Familiarity and development experience with web services technologies is a strong plus (e.g. HTTPS, REST, XML, JSON, etc.).

• JAVA/PERL/Ruby/Python scripting language experience.

• Experience with third-party ETL tools (IBM DataStage or Data Manager, Informatica, etc.).

• Familiarity with AWS solutions such as EC2, DynamoDB, S3, Redshift, and Aurora.