Data Analyst -Tech Cons- Data&Analytics-Data Arch&Eng-FSO - Manager - Multiple Positions - 1716686

About the position This role is for a Data Analyst within Technology Consulting, focusing on Data & Analytics, specifically in Data Architecture & Engineering for the Financial Services Office. The position is at the Manager level and involves understanding business challenges and addressing them through data architecture and engineering solutions. The analyst will work with clients to transform their data usage and management by architecting modern data platforms, data products, and data marketplaces. The goal is to provide end-to-end solutions that improve data supply chains, reengineer processes, enhance risk control, and enable information intelligence using advanced technologies. The role requires solving complex issues and driving growth within financial services. This includes defining data and analytic strategies, performing assessments, recommending remediation strategies, and designing/implementing future state data and analytics solutions. The position also involves managing and coaching diverse teams, ensuring project task and timeline accountability, proposing new technologies, and initiating thought leadership through white papers and proof of concepts. The analyst will develop logical and creative problem-solving strategies and engage with large teams and functional leaders.

Responsibilities

• 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

• 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, OR Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience.
• 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.
• 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.
• 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.
• 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.
• 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.
• 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).
• Domestic and regional travel up to 60% to meet client needs.

Benefits

• Medical coverage
• Dental coverage
• Pension plans
• 401(k) plans
• Flexible vacation policy
• Paid holidays
• Winter/Summer breaks
• Personal/Family Care leave
• Other leaves of absence
• Continuous learning opportunities
• Tools and flexibility for meaningful impact
• Coaching and confidence building for leadership
• Diverse and inclusive culture