SrAnlyst, Fin Plan&Analy

Job Description

Finance Chief Data Office is a newly formed team to establish the data governance framework across Finance. The team partners with the Data Strategy and Digital groups to execute the data disciplines. We supports data consumers to drive data quality across Finance functions, including accounting, regulatory and financial reporting, CFO teams and corporate treasury. We aim to provide transparency of our data asset and actively manage the asset to contribute to the fulfilment of regulatory requirements and creation of operational efficiency. The CDO function plays a critical role in the transformation of the organization by connecting data, technology, processes and controls.Data Modeling is one of the core capabilities of the Finance CDO team to support an efficient and effective Finance wide Data Strategy. The Senior Data Modeler is a critical role in translating business needs into the information required to deliver solutions. The role will be a key leader across multiple projects working with Data Architects in understanding architectural directions, gathering and analyzing business requirements, and developing the appropriate data structures. In addition, the role will have significant influence in Finance Data as a Service initiatives. This position will play a key role in the transition from traditional reporting to a more dynamic, real-time analytics environment ensuring a foundation to deliver information to internal consumers at all levels in the organizationKey ResponsibilitiesExpected to understand finance data flow model and multiple systems used for sourcing the data.Assist in performing root cause analysis for data quality errors, research and determine scope and complexity of issues and identify the steps for remediationCoordinate remediation with relevant teams (Sources, Technology, Business, Finance, etc.)Determine business impact level for the data quality issuesQuantify materiality for proper escalationsAssist in the analysis of customizing and enhancing the data quality dashboard based on stakeholder requestsMonitor the Finance CDO mailbox and direct the mailbox as the Single Point of Contact (SPOC) for data quality issues and data requests across FinanceMonitor and create Jira s based on Root Cause Analysis.Assign the data quality issues and requests to proper data analysts and data modelers on the CDO teamReport and monitor the progress of remediationProvide inputs, actively host and participate in user forums for faster issue resolutionsThe staff member will be expected to cultivate relationships with staff or contractors in: Technology, Data Strategy, Data Operations, Finance and Corporate Treasury to ensure efficient identification, collection, and use of data along with the management of the associated data governances processes.QualificationsBachelor Degree in a financial discipline such as accounting, finance, statistics, or degree in math, engineering, statistics, computational finance or economics preferred.Skills & Experience3+ years of total work experience preferredSelf-starter Should drive change on their own with minimal direction neededExperience with finance data set and process: Balance Sheet, P&L, Consolidations, Client Product Profitability, liquidity analytics and reporting, interest rate risk management, asset-liability management, regulatory reporting, is strongly preferred.Knowledge of the structuring of data environments and applications that use big data processes is a preferred.Superb communication skills - Strong written and oral communications skillsAnalytical Ability to easily dive into very arcane details on allocations and bring it up to the appropriate level of audience they are communicating withExcellent interpersonal and relationship management skillsConfident and calm demeanor with ability to perform under pressure and handle difficult situationsAdvanced Proficiency in MS Office (Excel, PowerPoint and Word).Basic SQL knowledge preferred or some experience competency with some leading data profiling tools (such as BI tools, etc.)Experience with leading reporting tools required (such as Power BI, QlikView, Tableau, Alteryx, OLAP tools (IBM TM1, Essbase, Analysis Service) Cognos, SharePoint, etc.)Knowledge of the structuring of data environments and applications that use big data processes is a preferred.Experience in Data Analysis, Data Architecture and/or Data Warehousing; preferably in a shared or enterprise data environment.BNY Mellon is an Equal Employment Opportunity Employer.Our ambition is to build the best global team one that is representative and inclusive of the diverse talent, clients and communities we work with and serve and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.Primary Location: India-Tamil Nadu-ChennaiJob: Finance/AccountingInternal Jobcode: 85066Organization: Finance-HR06599Requisition Number: 2011875,

Keyskills :
data as a serviceinterest rate risk managementroot cause analysisequal employment opportunitybig datapower bims officedata flowroot causedata qualitydrive changemusic makingdata analysis