Position Description:

Develops and manages curated data repositories in an enterprise analytics platform. Analyze complex datasets from several sources, such as demographics and investments, using SQL, Python, and analytics front end (Tableau). Writes design documentation and updates them using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Recommends design changes to complex, interrelated systems designs to meet complicated requirements, improve performance, or reduce costs of ownership.

• Designs new systems based on requirements gathered during the requirements analysis phase.

• Leads other analysts in the documentation of large and complex projects.

• Monitors the quality and progress of documents created by other systems analysts.

• Documents formal specifications describing solutions to meet requirements.

• Serves as an industry subject matter expert.

• Masters data held within transactional, warehouse, and data lakes possessing the ability to communicate findings to the squad leader, data engineers, and business partners.

• Analyzes information processing and computation needs and plans and designs computer systems, using structured analysis, data modeling, and information engineering.

• Develops, documents, and revises system design procedures, test procedures, and quality standards.

• Consults with management to ensure agreement on system principles.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analytics and data management within a financial services environment.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analytics and data management within a financial services environment.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) designing data architecture and data models; developing and implementing technology applications to identify data anomaly and patterns; and implementing data virtualization techniques to stream data from data sources and vendors using data engineering.

• DE analyzing complex datasets from multiple sources — demographics and investments — and merging complex datasets by writing complex SQL and PL-SQL queries in DB2, Oracle, Microsoft SQL server, Snowflake and NOSQL datastores – Cassandra or Mongo DB – using Toad and DB Visualizer; and using database federation mechanism for data virtualization with stored procedures to accelerate and provide advanced analytics, availability and query performance.

• DE performing Extract Transform Load (ETL), Enterprise Data Lake (EDL), Extract Load Transform (ELT), SQL tuning and optimization with on-prem and cloud technologies – AWS- S3, EC2, and cloud databases; and integrating cross functional business units data within a micro-service based application using Splunk and Kafka leveraging event based, reactive, and stateless architecture in a financial services environment.

• DE writing stored procedures, jobs automation, UNIX, and LINUX shell scripts to perform data analytics on OLTP, OLAP data warehouses, and Data Lake; and generate KPI’s and enhanced digital experience using Tableau and Oracle BI tools.

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