
Data Analyst – Manager, Data and Analytics, Data Architecture and Engineering
EY
full-time
Posted on:
Location Type: Office
Location: McLean • Virginia • United States
Visit company websiteExplore more
Salary
💰 $210,579 per year
Tech Stack
About the role
- 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)
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
- other leaves of absence
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata engineeringcloud data modernizationdata productsdata meshdata fabricbig dataevent-driven architecturedata warehousingdata integration
Soft Skills
problem solvingteam managementcoachinginfluencingclient relationship managementbusiness developmentthought leadershipproject managementcommunicationcreativity