Top Data & Analytics Jobs

Consultant will produce requirement specifications and design details, develop Hadoop-based ETL solutions (HDFS, Hive, Pig, Sqoop), work with Teradata and BI/analytics tools, perform automation and performance tuning, coordinate projects, and support a management-consulting environment with regular travel.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

The Pricing Manager will develop and maintain pricing frameworks, ensure compliance with regulations, conduct pricing analyses, and collaborate with various teams to optimize pricing solutions and strategies.

As a Data Scientist, you'll analyze credit risk, monitor portfolios, develop strategies, and collaborate across teams to transform findings into actionable recommendations.

Design and customize Sage Intacct, develop financial reports, support data migration, and train users while ensuring compliance with GAAP.

Meet with business customers to gather and document traceable requirements, model processes (UML, use cases), plan JAD sessions, define data requirements and dictionaries, design dashboards and reports, identify integrations, develop and execute system test plans, support QA, and mentor junior analysts.

The Lead Management Analyst will manage connectivity opportunities, transition marketing qualified leads, and draft proposals while collaborating with a virtual team.

As a Business Systems Analyst, you will gather and analyze requirements, design systems, optimize processes, and collaborate with teams to enhance business solutions.

Design, develop, debug and tune Hadoop-based ETL using HDFS, Pig, Hive, HBase, Sqoop and Java. Provide technical oversight to the Hadoop team, write/modify shell or Python scripts, liaise with application teams, perform performance tuning and troubleshooting, and provide on-call weekend support.

Designs and models data for distributed reporting, ensures security and metadata standards, validates ETL mappings, supports Qlik Sense development, assists data governance, and optimizes data delivery performance.