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Data Analyst - TC - Data and Analy - Data Gov and Controls - FSO - Manager - Mul Pos - 1684038

Work from home Full-time role Hiring

About the position 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. Work with clients to transform the way they use and manage data by architecting data strategies, 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.

Responsibilities

  • 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

  • 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.
  • Must have 4 years of experience in the banking, capital markets, insurance or asset management industry.
  • Must have 3 years of experience in at least 1 of the following:- Distributed Processing (Spark, Hadoop, or EMR);- Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL);- MPP (AWS Redshift, or Teradata);- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan);- Cloud Platforms (AWS, Azure, Google Platform, or Databricks);- Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID.
  • Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
  • Must have 3 years of experience in managing teams through a product and/or project management life cycle including requirements, design, development and testing.
  • Must have 3 years of experience quantifying improvement in business areas resulting from optimization techniques through use of business analytics and/or statistical modeling.
  • Requires domestic and regional travel up to 60% to meet client needs.
  • Employer will accept any suitable combination of education, training or experience.

Benefits

  • comprehensive compensation and benefits package
  • medical and dental coverage
  • pension and 401(k) plans
  • paid time off options
  • flexible vacation policy
  • time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being
  • Continuous learning
  • Success as defined by you
  • Transformative leadership
  • Diverse and inclusive culture

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