Data Analyst-Tech Con-Data and Analytics - DG and C - FSO - Manager - Multiple Positions-1708266

About the role

Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions)

Responsibilities

• 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.
• 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 2 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.

Qualifications

• 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 2 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.

Skills

• Technical capabilities and professional knowledge.
• Leadership and management skills.
• Teamwork and collaboration.
• Problem-solving and analytical skills.
• Communication and interpersonal skills.

Benefits

• Comprehensive compensation and benefits package.
• Medical and dental coverage.
• Pension plan.
• 401(k) plan.
• Flexible vacation policy.
• Designated EY Paid Holidays.
• Winter/Summer breaks.
• Personal/Family Care.
• Other leaves of absence.

Pay

$157,414.00 per year

Schedule

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