Data Analyst - Tech Con - Data and Analytics - Data Arch and Eng - FSO - Mgr - Mult Pos - 1677754 jobs in United States
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EY · 1 day ago

Data Analyst - Tech Con - Data and Analytics - Data Arch and Eng - FSO - Mgr - Mult Pos - 1677754

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. The Data Analyst role involves understanding business challenges and providing data architecture and engineering solutions to enhance clients' data management and supply chains.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
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Growth Opportunities
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Responsibilities

Understand business challenges and address remediations through data architecture and engineering solutions
Work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies
Solve complex issues and drive growth across financial services
Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions
Manage and coach diverse teams of professionals with different backgrounds
Manage cross functional teams, to ensure project task and timeline accountability
Propose and drive new technologies to enhance or replace existing business processes
Initiate and build thought leadership through white papers, point of views, and proof of concepts
Develop strategies to solve problems logically using creative methods
Engage and influence large teams and functional leaders
Manage and motivate teams with diverse skills and backgrounds
Consistently deliver quality client services by monitoring progress
Demonstrate in-depth technical capabilities and professional knowledge
Maintain long-term client relationships and networks
Cultivate business development opportunities

Qualification

Data ArchitectureCloud Data ModernizationData EngineeringData WarehousingBig Data InitiativesData ProductsData MeshData FabricHyperscaler PlatformsStreaming ApplicationsDevOps ToolsClient Relationship ManagementTeam ManagementProblem SolvingCommunication Skills

Required

Must have a bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience
Alternatively, must have a Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience
Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry
Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture
Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
Must have 3 years of experience with Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases
Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines
Must have 3 years of combined experience in at least 1 of the following: Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL), MPP (Redshift, Synapse, Teradata, Vertica or Netezza), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch), Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm), DevOps (Github, Kubernetes Jenkins or Terraform), Data Modeling (Data Vault, Star, Snowflake, or Canonical)
Requires domestic and regional travel up to 60% to meet client needs

Benefits

Medical and dental coverage
Pension and 401(k) plans
Paid time off options
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Funding

Current Stage
Late Stage

Leadership Team

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Jonathan Williamson
Chief Operating Officer
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Abhishek Sen
Partner
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Company data provided by crunchbase