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Business and Data Analyst - Officer

AT State Street
State Street

Business and Data Analyst - Officer

Bangalore, India

Job Description

The Data Operations and Solutions Team (DOST), serves as a techno-functional team that drives data related projects and the overall data strategy for Finance. DOST owns key data aggregators that support numerous downstream processes across both Risk and Finance, drives data solutions to ensure consistent use of authoritative sources of data, and implements effective governance and controls for management of data across the data supply chain. Lastly, the team represents Finance in Enterprise Data Governance initiatives and forums; provides oversight over data governance in Finance.

This role will join a group of Business and Data Analysts within DOST that will cover the following areas:

Data projects in Finance and Treasury (FP&A, Accounting and Regulatory Reporting)

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This role will provide extensive visibility to senior leaders and thus require experience across numerous functions such as Front Office Teams, Risk, Regulatory Reporting, Accounting and Controllers, namely in how business activities generate data requirements and needs. It is the role of DOST to guide Finance and Treasury teams to the appropriate strategic data solution and to leverage existing capabilities and authoritative sources where possible.

The following are skills/ experience the individual must possess:

  • Assess complex business problems and formulate data solutions
  • Serve as a liaison between business users and various development teams
  • Document project requirements using clear, concise language, consistent with the appropriate methodologies
  • Run meetings/workshops to explain and walk through business needs - assist in translating into business requirements
  • Define and deliver test strategy, plans, and acceptance criteria
  • Lead data projects from start to finish with ownership of the work plan, resourcing, issue/risk management.
  • Ability to translate data solutions to executable steps and requirements
  • Utilize BI tools to assess complex data problems and prepare prototype solutions
  • Identify and understand relationships among problems, issues, and data.
  • Prepare top notch PowerPoints that translate complex data projects and problems into execute storyline
  • Responsible for problem solving and issue resolution
  • Must be able to work under minimal direction
  • Lead and train talent
  • Lead operational activities that drive adherence to our operating culture - resource growth and development, inclusivity and diversity in our workforce and acceptance of differences across our workforce, standardized processes that help drive operational effectiveness and enabling a workplace that is viewed as best-in-class across State Street.

Qualifications

  • 6-8 years of experience in working with finance or in the financial service industry
  • Expertise in business analysis, data analysis, data operations or other related fields
  • Bachelor's Degree in technology, finance, business or equivalent, MBA preferred
  • Knowledge of balance sheet financial products
  • Knowledge of SDLC and Project Management methodologies
  • Knowledge of data warehousing, data mart, database design, ETL, and BI tools
  • Attention to detail and problem solving a must
  • Excellent system and functional testing capabilities
  • Excellent (clear and concise) verbal and written communication and presentation skills
  • Proven ability to work cooperatively and effectively with business and systems personnel
  • Experience with Microsoft Office tools Word, Excel, Project, and Visio is required
  • Strong collaboration and partnership behavior with a bias toward action.
  • Proficiency with SQL and Business Intelligence tools (Spotfire, Power BI and Tableau) is a must
  • Experience with Data Virtualization tools (TIBCO Virtualization / CISCO Information Server) is preferred

State Street's Speak Up Line

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: StateStreet-R-762195
Employment Type: Full Time