ABOUT MORGAN STANLEY Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com. ABOUT PARAMETRIC Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what is important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings. This role is part of Parametric's hybrid working model, which includes working in the office 2-3 days a week and choosing to work remotely or in the office the remaining days of the week. ABOUT THE TEAM ARC (Automation, Reinvention & Collaboration) team is part of Parametric Operations. This team is core to success of Parametric Operations and is inclined with vision of Ops2.0. This team works on identifying opportunities, developing prototype, building custom solutions and its implementations. This team also works with core technology team as SME from Operation. ABOUT THE ROLE As part of the Global Operations Team, the Senior Operations Data Analyst is a hands-on contributor who plays a critical role in building an ecosystem and culture of data-driven decision making in Operations. PRIMARY RESPONSIBILITIES - Understand existing legacy data flow process for multiple systems, then leverage that knowledge to propose, develop and implement an optimized data flow pipeline using Alteryx / Python - Using in-flight and existing data sets / data lake, develop required transformational & curated data sets which can be used for more than one data pipeline - Infuse creativity in creating and reducing manual ways of data reconciliation by developing reconciliation ETL model Increase efficiencies and reduce manual processes by Developing an ETL model for data reconciliation - Think outside the box to design and develop complex dashboards - Create quick reporting dashboards in Tableau/ powerBI for senior leaders in Operations - Replace manual reporting process in Excel and use available data sets to enrich existing reports - identify different techniques available for data enrichments - Leverage a deep understanding of operations data in all aspect of work
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