Data Analyst-Tech Con-Data and Analytics-Data Arch and Eng-FSO-Manager-Multiple Positions-1707627

About the role

Data Analysts within Technology Consulting - Data & Analytics (Data Architecture & Engineering) at Ernst & Young U.S. LLP, Philadelphia, PA, are responsible for understanding business challenges and addressing remediations through data architecture and engineering solutions. They work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces, focusing on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence through the use of advanced technologies.

Responsibilities

• 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

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).
• 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 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).

Skills

• Technical capabilities and professional knowledge
• Leadership and influence skills
• Strategic thinking and problem-solving abilities
• Team management and coaching skills
• Ability to propose and drive new technologies
• Thought leadership and innovation

Benefits

• Comprehensive compensation and benefits package including medical and dental coverage, pension, and 401(k) plans
• Flexible vacation policy allowing you to decide how much vacation time you need based on your personal circumstances
• Continuous learning opportunities
• Transformative leadership experiences
• Diverse and inclusive culture fostering personal and professional growth

Pay

$218,230.00 per year

Schedule

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