Data Analyst TC - Data and Analytics - DAE - FSO - Senior Manager - Positions

Position: Data Analyst  TC - Data and Analytics - DAE - FSO - Senior Manager - Multiple Positions - 1684076
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At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
The exceptional EY experience. It's yours to build.

** Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) - Financial Services Office (Senior Manager) (Multiple Positions) (1684076), Ernst & Young U.S. LLP, New York, NY.*
* 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.

Lead and direct teams of professionals with diverse skills and backgrounds by providing constructive on-the-job feedback/coaching to team members. Develop and maintain long-term client relationships and networks. Manage risk in the delivery of quality client services. Generate and manage new business opportunities.

Full time employment, Monday - Friday, 40-45 hours per week, 8:30 am - 5:30 pm.

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* MINIMUM REQUIREMENTS:

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* Must have a Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 8 years of related work experience (of which 5 years must be progressive, post-baccalaureate). Alternatively, must have a Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 7 years of related work experience.

Must have 6 years of experience in one or a combination of the following: the banking, capital markets, insurance, and/or wealth and asset management industry.

Must have 5 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 5 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 5 years of experience with Next-Gen platforms including one or a combination of the following:
Hyperscaler (AWS, GCP, and/or Azure), Snowflake, Data Bricks, and/or distributed databases.

Must have 5 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 5 years of combined experience in at least 2 of the following:

- Traditional RDBMS (MS SQL Server, Oracle, MySQL or Postgre

SQL)

- MPP (Redshift, Synapse, Teradata, Vertica or Netezza)

- No

SQL (Mongo

DB, Dynamo

DB, Cassandra, Neo4J, Titan or Elasticsearch)

- Streaming Platform and Applications (Spark streaming, Kafka, Confluent or Storm)

- Dev Ops (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.

Employer will accept any suitable combination of education, training or experience.

** Please apply on-line at  and click on "Careers - Job Search", "See All", then "Experienced Professionals" (Job Number - 1684076).*
* ** What we offer*
* We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $ per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.…