Top Hybrid Data & Analytics Jobs

Analyzes, cleans, and interprets large datasets to identify trends, errors, anomalies, and data gaps. Creates reports, dashboards, and presentations using data visualization tools; communicates findings and recommendations to support data-driven decisions. Monitors contractual performance outcomes, coordinates with departments and providers to improve data quality, and supports organizational quality-improvement initiatives. Requires approximately five travel trips per month and relevant background-check clearances.

Own the end-to-end architecture for a contact-center data platform using Genesys, Verint, Snowflake, Databricks, and Delta Lake. Design Medallion and Kimball models, ingestion and orchestration strategies, data integrity controls, API and file integrations, incremental processing, and high-volume pipelines. Lead migration from legacy CCARS pipelines through parallel validation and decommissioning. Write production-grade SQL and PySpark, optimize performance and cost, and communicate architectural decisions to technical and business stakeholders.

The Senior Data Analyst analyzes commercial contracting, pricing, rebate, chargeback, customer, and government pricing data to produce insights, dashboards, KPIs, and reports. The role supports data governance, quality validation, documentation, root-cause analysis, automation, AI enablement, and enterprise data management. Responsibilities include defining requirements, testing and validating solutions, improving processes, and partnering with business, project, product, technology, and external teams across the commercial contracting ecosystem.

Analyzes sales and distribution channel performance, develops Power BI dashboards and executive reports, evaluates sales incentive plans, and provides data-driven recommendations. Partners with Sales, Finance, Human Resources, and product stakeholders to define metrics, monitor trends, assess compensation outcomes, and improve strategic decision-making. Ensures accurate, accessible reporting and translates complex data into actionable business insights.

Designs and manages enterprise contact center business intelligence, data engineering, reporting, and AI-enabled analytics solutions. Responsibilities include SQL development, data integration, warehousing, dimensional and semantic modeling, ETL/ELT pipelines, Power BI dashboards, KPI frameworks, forecasting, trend analysis, data governance, and reporting administration. The role partners with operations, IT, application teams, vendors, and executives to deliver actionable insights, automate analytics workflows, and implement AI-powered natural-language reporting.

The Business Analyst gathers and validates requirements, maps processes, analyzes data, and translates business needs into actionable solutions. The role partners with stakeholders, product teams, project managers, developers, and QA throughout delivery. Responsibilities include facilitating workshops, documenting requirements and user stories, assessing business value and risks, supporting testing and implementation, managing changes, and communicating recommendations. The position also contributes to process improvement, change management, and measuring business outcomes.

Build and operate enterprise integrations and production data pipelines across Salesforce, NetSuite, Workday, Snowflake, and other business systems. Responsibilities include API-led integrations, SQL and Python transformations, data modeling, order-to-revenue workflows, testing, monitoring, data quality, security controls, and production support. Own projects end to end, partner with stakeholders, mentor engineers, and establish reusable engineering practices.

Own the technical design and operation of Palmetto’s governed data platform. Build trusted data products, semantic models, ingestion and transformation pipelines, secure access interfaces, and agent-ready data services. Establish governance, masking, authorization, observability, CI/CD, and audit readiness. Partner with finance, operations, product, and engineering teams while mentoring engineers and setting cross-team technical direction.

Design and lead scalable Snowflake data architectures, models, ETL/ELT pipelines, integrations, and governance strategies. Optimize query performance, resource utilization, and cloud data warehouse costs. Implement Snowpipe, Streams, Tasks, and Dynamic Tables for batch and real-time processing. Ensure security and compliance across cloud environments, translate business requirements into data solutions, and establish engineering standards while providing technical leadership to data engineering teams.

Maintains a SQL Server sales database, consolidates and validates distributor data, and supports sales commission calculations and territory changes. Develops reports, dashboards, and analytical tools using SQL, Excel, and Power BI to monitor KPIs and sales performance. Performs business analysis, resolves data discrepancies, automates processes, supports continuous improvement, and partners with management and cross-functional teams on operational requests.