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Cognos TM1/BI Application Engineer

Cognos TM1/BI Application Engineer

Job ID 
607502
Location 
IN-KA-Bangalore
Posted Date 
08-01-2018
Company 
ADCI - Karnataka
Recruiting Team 
..

Job Description

Amazon’s Corporate Financial Planning and Analysis (FP&A) team is looking for an accomplished Application Engineer! With a unique vantage point into everything happening within Amazon, 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 TM1 and BI, 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 building 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!

Responsibilities include:
· Deliver and maintain reliable, scalable, and efficient Cognos TM1 solutions by managing all phases of the software development life cycle (SDLC), including requirements gathering, modeling & design, development, testing, deployment, integration, documentation, and post-implementation maintenance.
· Manage ongoing user support according to priority (including rotational on-call availability for critical systems support) and coordinate change requests with development teams.
· Identify process improvement opportunities to drive innovation, and develop solutions that accelerate timelines and automate manual processes.
· Administer user permissions and system security settings.
· Assist with training delivery and detailed process documentation.
· Collaborate with 3rd party software vendors on issue resolution and product enhancement requirements.

Basic Qualifications

Basic Qualifications:
· 2+ years of experience building Cognos TM1 analytic solutions, including model building and/or using TM1 as a data source in Cognos BI.
· Demonstrated experience working with users in a support capacity, including trouble ticket resolution and ability to serve as member of on-call rotation for critical off-hour support requests.
· Quick learner with a positive attitude, professional demeanor, and strong analytical and troubleshooting skills.
· Knowledge of Data Warehouse, BI, OLAP, and dimensional modeling concepts.
· Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams.
· Proven ability to succeed in a dynamic, results-oriented environment.
· Bachelor's Degree (BS/BA) in Information Systems, Accounting, Finance or related business/technical field required.

Preferred Qualifications

Preferred Qualifications:
· Direct experience using Business Intelligence (BI) reporting tools, preferably Cognos v10x (Report Studio, Analysis Studio, Workspace, Framework Manager), or similar technology (OBIEE, Business Objects, Tableau, MicroStrategy, SAP, etc.).
· Experience with dimension management software processes and MDM tools (Oracle DRM)
· Familiarity with other IBM software products, including Command Center, SPSS, and Disclosure Management.
· Familiarity with AWS solutions such as EC2, DynamoDB, S3, Redshift, and Aurora.
· Experience with ETL processes and 3rd party tools (IBM Data Stage, Informatica).
· Experience with SQL authoring and RDBMS database interaction.
· 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.
· Master’s degree in Computer Science, Engineering, Math, Finance, Statistics, or a related discipline.