Position Summary

The Senior Data Analyst role is responsible for translating data requirements into applications that employ appropriate data models and ETL solutions (including multi-cloud integration) as well as analyzes, defines, develops, and maintains complex database structures and a viable integration ETL architecture. and applications.

Primary Success Factors

Translates data requirements into applications that employ appropriate data models and ETL solutions. Analyzes, defines, develops, and maintains complex database structures and ETL architectures and applications. Creates data flows and ETL models defining the data transformation needs of projects. Ensures effective and efficient utilization of ETL processes when accessing, integrating, and delivering data between systems.
Develops and implements data validation, auditing, reconciliation, testing methodologies, and integration processes. Coordinates with business/data analysts on data cleansing and data profiling activities to improve quality of data.
Works closely with DBA Team and Operations to establish ETL job workflow with reliable error/exception handling and rollback framework, including scheduling, error management, restartability, email notifications, and information publishing.
Develops and maintains accurate system documentation including information about attributes, lineage, and business rules. Assists in the gathering of metadata and maintenance of repositories and data dictionaries.
Helps set standards and complies with Bank and data governance policies, procedures, and regulations to ensure safe and sound business operations. Recognizes and identifies potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding the security of financial data.
Works with IT groups to implement a disaster recovery and business continuance solutions for ETL processes, including the installation, configuration, and testing of software.
Participates in the development and maintenance of strategic, architectural, and tactical plans for the Bank's data integration technologies. Conversant with and cognizant of the future direction of systems, how that direction impacts the Bank, and how future and current systems can be exploited for the benefit of the Bank.
Maintains understanding of data modeling and data integration technology trends and best practices and uses this knowledge to bring solutions to business units and IT; makes recommendations on buy vs. build decisions. Mentors Team members and is a technical resource on data integration and ETL technologies.
Maintains understanding of information flows and the data integration technology to support the documentation of the all of the banks structured data flows.
Provide production support for the banks integrated batch processing.
Provides periodic reports on activities, accomplishments, issues and their solutions, as well as assisting in forecasts of future utilization, tools, and resource requirements.
Ensures compliance with applicable policies, procedures and regulations to ensure safe and sound business operations.
Prefer to be knowledgeable in Data Warehousing and Change Data Capture lifecycles and methodologies. Performs modeling of data sources and flows and works with Data Services staff to identify, design, and implement data warehouse objects – star schemas, multidimensional tables, and BI Universes – using best practices. Designs and develops prototypes, data classifications, and database tables and views to aggregate data as required for reporting optimization.

Required Experience

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. Or equivalent work experience that includes knowledge of Data Warehousing, Data Integration, Data Transfer methodologies, and Database Management
Seven or more years leveraging Informatica Cloud toolset (IICS/IDMC) to build and orchestrate data pipelines, ensuring secure and efficient data exchange between cloud and/or on-premise platforms
Design, develop, and maintain scalable RESTful APIs to support data integration and application interoperability across enterprise systems
Prefer at least three years of experience in Data Modeling, or Data Integration, including experience using relational, star-schema, and multidimensional data models. Knowledge of current practices, theories, and approaches to performance tuning and optimization, collection of metadata, table partitioning, materialized views, and parallel processing. Proficiency in PL/SQL, SQL, and UNIX scripting
Prefer three or more years of experience as ETL Architect/Designer, including experience installing and configuring database and ETL software. Advanced-level experience in designing, developing, and maintaining data transfer maps and processes and database structures, including measure, dimension, and hierarchy objects. Ability to analyze and interpret financial information and data to implement business/transformation rules, data profiling, data cleansing, and reconciliation processes to ensure data quality
Knowledge of operating systems hardware and software, relational databases, and software development tools including but not limited to Linux, Windows, Oracle, SQL-Server, Erwin, MS-Access, and MS-Excel
Strong interpersonal, communication, and writing skills; able to work independently or in a team environment
Experience with Agile methodologies to effectively participate in cross functional teams.

It is the policy of the Federal Home Loan Bank of Pittsburgh to ensure equal employment opportunity (EEO) for all employees and applicants for employment without regard to race, religion, color, sex, national origin, age, disability status, genetic information, veteran's status, ancestry, sexual orientation or status as a parent as defined by applicable law. It is the Bank's policy to comply with applicable laws concerning the employment of persons with disabilities, including reasonable accommodation for applicants and employees with disabilities.

FHLBank Pittsburgh

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Senior Data Analyst