Top Hybrid Data & Analytics Jobs

Supports Program Manager clients by documenting program processes, analyzing business metrics, establishing reporting and data analytics processes, preparing reports and presentations, and monitoring operational and risk-related issues. Researches requirements for new partners, products, and regulatory changes, develops processes, and collaborates across departments to address issues and communicate findings to senior management.

Conduct quantitative research using STATA, R, Excel, and Qualtrics. Responsibilities include developing data collection and reporting procedures, validating statistical tools and analyses, implementing quality assurance protocols, monitoring surveys, cleaning and weighting datasets, supporting survey instrument improvements, analyzing research data, and organizing historical data. The role collaborates with the Quantitative Research Director and requires strong attention to detail, critical thinking, and communication skills.

Supports credit underwriting and pricing strategies for lending products. Responsibilities include designing A/B tests, analyzing loan performance, building KPI dashboards, identifying risk and revenue opportunities, evaluating alternative data sources, recommending mitigation strategies, and partnering with technology teams to implement strategies accurately.

Designs, builds, and maintains scalable cloud and on-premises data architectures and ETL/ELT pipelines. Ensures data quality, security, lineage, reliability, and performance while integrating structured and unstructured sources. Prepares datasets for AI/ML, semantic search, analytics, and mission applications. Collaborates with analysts, AI engineers, software engineers, and business teams to deliver production-ready data, automate workflows, troubleshoot pipelines, and optimize delivery costs.

Analyzes maritime HR, payroll, crew, training, compensation, and operational data; builds Power BI dashboards and predictive models; reviews work and rest-hour compliance; improves data quality; automates reporting with Microsoft tools and AI; and delivers recommendations for workforce planning, compliance, retention, compensation, and ship operations.

Designs, develops, optimizes, and maintains ETL workflows that extract, transform, and load data into data warehouses. Responsibilities include data profiling, validation, reconciliation, quality monitoring, troubleshooting, documentation, security controls, and performance optimization. The role collaborates with analysts, engineers, and stakeholders, stays current with ETL practices, and mentors junior developers. Required expertise includes ETL tools, SQL and databases, programming, data modeling, warehousing, governance, and large-scale data processing.

Supports client-facing portal data, reporting, dashboards, and visualizations. Translates business needs into requirements, mappings, user stories, and acceptance criteria; validates Power BI and Snowflake data; performs reconciliation and root-cause analysis; supports production incidents, releases, testing, and documentation; and coordinates offshore support partners across time zones.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Build and maintain scalable Snowflake data pipelines and dbt-based ELT workflows using SQL and Python. Integrate multiple source systems, implement Medallion Architecture patterns, monitor pipeline reliability, resolve data quality issues, and support performance and cost optimization. Collaborate with analytics, product, and business teams to deliver trusted datasets while contributing to data modeling, governance, testing, documentation, lineage, code reviews, and deployment practices.

Analyzes business requirements and defines functional specifications for small to moderate projects. Translates requirements into functional designs, test plans, documentation, and user materials. Coordinates with IT to resolve issues and improve business processes. Supports application testing through traceability analysis, test preparation, script writing, and functional test execution. May guide less experienced colleagues.