Key skills
Data ArchitectureData EngineeringCloud Data ModernizationData ProductsData MeshData FabricBig DataEvent-driven ArchitectureMaster Data ManagementOperational Data AnalyticsCustomer Data HubData WarehousingHyperscaler AWSHyperscaler GCPHyperscaler AzureSnowflakeDataBricksDistributed DatabasesData Platform ArchitectureData Warehouse ArchitectureStreaming ApplicationsData Ingestion PipelinesData Storage PatternsData Integration PipelinesMS SQL ServerOracleMySQLPostgreSQLRedshiftSynapseTeradataVerticaNetezzaMongoDBDynamoDBCassandraNeo4JTitanElasticsearchSpark StreamingKafkaConfluentStormGithubKubernetesJenkinsTerraformData ModelingData VaultStar SchemaSnowflake SchemaCanonical Data ModelingClient relationship managementBusiness developmentSQLNoSQLAnalyticsDatabricksSparkAWSAzureGCPVaultSQL ServerNeo4jGitHubLeadership
About this role
EY is a global leader in assurance, consulting, law, strategy, tax, and transactions, committed to building a better working world. They are seeking a Data Analyst in Technology Consulting to address business challenges through data architecture and engineering solutions, transforming how clients use and manage data while enhancing their data supply chain and risk control.
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
Requirements:
- 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