Data Analyst – Manager, Data and Analytics, Data Architecture and Engineering

Role Overview

• 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
• Provide end-to-end solutions focusing on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence
• Solve complex issues and drive growth across financial services
• Define data and analytic strategies by performing assessments
• Recommend remediation strategies/solutions based on aggregated view of identified gaps
• Design/implement future state data and analytics solutions
• Manage and coach diverse teams of professionals with different backgrounds
• Manage cross functional teams, ensuring 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, points 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
• Maintain long-term client relationships and networks
• Cultivate business development opportunities

Requirements

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

Tech Stack

• Amazon Redshift
• AWS
• Azure
• Cassandra
• Cloud
• DynamoDB
• ElasticSearch
• Google Cloud Platform
• Jenkins
• Kafka
• Kubernetes
• MongoDB
• MS SQL Server
• MySQL
• Neo4j
• NoSQL
• Oracle
• Postgres
• RDBMS
• Spark
• SQL
• Terraform
• Vault

Benefits

• medical and dental coverage
• pension and 401(k) plans
• wide range of paid time off options
• flexible vacation policy
• designated EY Paid Holidays
• Winter/Summer breaks
• Personal/Family Care leave
• support for physical, financial, and emotional well-being