Job Location: Bengaluru
When you work with the world’s most innovative companies, you know you’re making a difference.
Our clients are the game changers, leaders and investors who fuel the global innovation economy. They’re the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work.
SVB Financial Group (NASDAQ SIVB) and its subsidiaries have helped innovative companies and their investors move ambitious ideas forward, fast. SVB Financial Group’s businesses, including Silicon Valley Bank, operate at the intersection of innovation and capital, and provide a comprehensive range of financial services including commercial banking, investment solutions, research and insights, funds management and private banking and wealth advisory. SVB helps high growth companies in the technology, life science and healthcare, private equity and venture capital, and premium wine industries navigate at every stage. In addition, the company focuses on encouraging positive relationships with firms within the private equity and venture capital community worldwide, many of which are also the firm’s clients and may invest in the firm’s corporate clients.
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Responsible for exploring relevant data sources, generating business understanding of the data, and developing the logic to transform the data into insights that can be leveraged for this endeavor, connect the dots to different aspects of building connections/graphs of the venture ecosystem
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Build, design, and develop a robust data model to accomplish the goals of this connections program as well as assist in building out analytical tools/solutions. Document the data transformation logic and understanding for other analysts to follow.
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Developing efficient, scalable, and repeatable processes to transform data on a regular basis
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Partnering with other data scientists/business analysts to make them familiar with the transformed information so that it can be appropriately used by other analysts and data scientists
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Using best practices framework to ensure data quality and reconciliation checks are in place and are transparent to our users
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Leveraging communication skills to collaborate effectively with analysts across SVB
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Solid understanding of writing and understanding of complex SAS codes
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Extensive knowledge and experience in SAS macros, SAS procedures and functions
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Demonstrated experience with the data mining tools SAS/Anaconda.
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Experience in transforming business specifications and requirements into well documented and scripted SAS processes.
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Ability to develop and enhance complex SAS scripts, macros and procedures.
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Proven Documentation (technical and user documentation) and Verbal and written Communication skills
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Good understanding of BI Methodologies and Practice
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Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing
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Knowledge of Data Governance and DQ framework is a plus
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Background in data management in Banking/Finance industry is preferred
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Experience with ETL and data modeling tools is a plus
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Strong analytical and problem-solving skills
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Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment
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Effective time management and organizational skills
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Flexibility to work/manage variety of projects
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Bachelor/master’s in computer science, Finance, Accounting, Economics, Statistics, or operational research
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Working knowledge with Tableau is a plus
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10+ years of experience in analytics and/or business intelligence space
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