Senior Data Analyst, Data and Analytics

Role Overview

• understand business challenges and address remediations through data architecture and engineering solutions
• work with clients to transform data usage and management by architecting modern data platforms, products, and marketplaces
• provide end-to-end solutions focusing on improving 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, perform assessments, and recommend remediation strategies/solutions
• 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 view, and proof of concepts
• develop strategies to solve problems logically using creative methods
• engage and influence large teams and functional leaders
• lead and direct diverse teams by providing constructive on-the-job feedback/coaching

Requirements

• Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field and 8 years of related work experience (5 years must be progressive, post-baccalaureate)
• Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or related field and 7 years of related work experience
• 6 years of experience in banking, capital markets, insurance, and/or wealth and asset management industry
• 5 years of experience in strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture
• 5 years of experience with traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
• 5 years of experience with Next-Gen platforms including Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases
• 5 years of experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines
• 5 years of combined experience in at least 2 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), or Data Modeling (Data Vault, Star, Snowflake, or Canonical)
• Requires domestic and regional travel up to 60% to meet client needs

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
• other leaves of absence when needed to support your physical, financial, and emotional well-being
• continuous learning opportunities
• tools and flexibility for meaningful impact
• insights, coaching, and confidence for leadership
• diverse and inclusive culture