Top Data & Analytics Jobs

Design, develop, and implement analytics and reporting solutions. Collaborate with a small cross-functional team to identify opportunities, build and maintain SQL Server-based reports and ETL, debug stored procedures and complex queries, document technical designs, create process flow diagrams, and support automation testing infrastructure.

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.

Design, build, and maintain ETL pipelines and big-data workflows from ingestion to consumption. Troubleshoot data/system issues, work in an agile team, handle structured/unstructured data and security logs, and support government data acquisition and sharing while meeting quality assurance and testing standards.

Design, build and scale a 500+ TB Audience Management Big Data platform. Own data ingestion, validation, transformation and storage pipelines. Write server-side Spark/Scala code, perform R&D on new technologies, mentor engineers, and partner with product managers to meet roadmap and business needs.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

Contract Big Data Architect to design and stand up a Hortonworks/Hadoop stack on Azure (HDInsight/HDP). Ingest XML files via a Hadoop listener into HDFS, process with Spark or MapReduce into Hive/HBase, and expose data for Informatica-based ETL into an on-prem data warehouse.

Design, implement, and maintain data governance frameworks and policies; monitor and improve data quality; classify and manage metadata; ensure privacy/HIPAA compliance; evaluate governance tools; report to stakeholders; drive process improvements and remediation.

Senior ETL Data Developer to design, build, test, and support Epic Clarity and enterprise ETL solutions using SSIS (and DataStage). Develop and optimize ETL workflows, implement standards, troubleshoot complex integration issues, document designs, and collaborate with reporting, analytics, and business teams to deliver data warehouse solutions and integrations.

Support implementation of consumer credit segmentation, operationalize customer-level metrics, perform large-scale data management, quality analysis, and data mining. Advise on internal data mart design, identify internal/external intelligence, and translate analytic insights into business actions for retail banking customer analytics.

Design, implement, and maintain scalable data infrastructure and real-time processing for analytics platforms. Migrate systems from AWS to on-prem Kafka/Spark, implement data transformations, support production, optimize pipelines, query and analyze data, and build scripts and APIs to operationalize data science work.