Responsibilities
Translate business and user requirements into detailed data designs via feasibility studies, data profiling and deep analysis. Effectively host bi-directional communication and reviews with stakeholders on design modifications and requirement fulfillment. Complete all support documentation on assigned projects, including creating and updating all profiling and analysis documentation, data design documentation, and archival of all related project documentation.
Develop expertise in all systems, processes and data relating to the assigned business or project. Leverage domain expertise and analyst practice expertise to provide the most effective solutions to the business partners in the most efficient means possible. Educate business partners on systems capabilities and the feasibility of developing specific solutions.
Leverage technical knowledge and business acumen to manage effective working relationships with technology teams and business partners. Work effectively in a team environment to ensure that solution delivery is on-time, within cost estimates and meets business needs. Negotiate technical and non-technical solutions that both satisfy the business users and conform to the technical architecture.
Actively contribute to the continuous improvement of data analysis best practices, using innovative ideas to increase effectiveness of the overall analyst organization. Provide subject matter expertise in areas including strategy/approach, domain/data knowledge, use cases and other areas of expertise based on established data analysis tools and techniques.
Partner with data governance and analytical domain owners, ensuring attribute logic/design is appropriately logged and reviewed as required. Document metadata, including business and technical details, for each attribute being created or updated.
Strive for quality data by documenting data quality issues found during profiling and analysis activities. Partner with the development team for resolution on quality issues, including root cause analysis when required.
Required Qualifications
Bachelors degree in Computer Science or similar field; or equivalent work experience.
7-10 years of relevant experience required.
4+ years of demonstrated experience in business and functional requirements elicitation, translation and documentation.
Strong analytic skills including ability to identify patterns, potential issues and then translate those into functional and test requirements.
Solid understanding of business functional areas and business management issues as well as the IT organizations systems and capabilities.
Knowledge of and ability to effectively use the appropriate modeling methodologies and tool-sets, requirements management methodologies and tool-sets, requirements visualization methods and tool-sets, and artifact version tools.
Preferred Qualifications
Expert level understanding of industry concepts, terminology and related data in the financial industry.
Experience in dimensional (star schema) data modeling, reporting (PowerBI/QuickSight preferred) and metadata management.
Big data or cloud data integration and analytics experience (AWS preferred).
About Our Company
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you’re talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.
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