Top Data & Analytics Jobs

Collects, cleans, analyzes, and validates manufacturing data from Plex, ERP, MES, sensor, and inventory systems. Builds predictive models, automated reports, and KPI dashboards covering yield, OEE, scrap, inventory, production, and financial performance. Performs root-cause, variance, forecasting, and ROI analyses to improve efficiency and reduce costs. Maintains data pipelines, supports operational and financial planning, ensures accurate inventory and COGS reporting, and trains production personnel on data collection and dashboard usage.

Support users with business intelligence and OLAP tools for database queries, data extraction, and report generation. Review and optimize queries, help design and document systems, monitor and upgrade enterprise reporting tools, ensure front-end interoperability and security, and maintain metadata and production systems.

Develop and deploy business intelligence solutions, dashboards, data structures, and visualizations using Tableau and Power BI. Partner with sales, finance, IT, and business stakeholders to turn complex data into actionable insights, enable self-service analytics, consolidate data, and establish analytics standards. Present findings to senior leadership, support forecasting and planning processes, train business teams, and provide ongoing analytics support.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Leads the design and delivery of enterprise analytics data products, Tableau dashboards, AI-generated narratives, and conversational analytics experiences. Architects SQL-based data sources using Redshift and S3, develops Python reporting tools, governs semantic layers and data quality, and partners with engineering and data science teams. Advises senior stakeholders, translates ambiguous business questions into actionable insights, drives self-service analytics adoption, evaluates AI tooling, and manages cross-functional analytics workstreams.

Maintains databases and data documentation, performs audits and validation, analyzes data from multiple sources, and develops reports, dashboards, and visualizations. Collaborates with departments to deliver reporting solutions, identifies trends and improvement opportunities, presents findings to stakeholders, and supports process improvements. The role requires strong analytical, communication, and data-quality skills, along with familiarity with reporting tools, SQL, scripting, and ETL processes.

Analyzes sales, distribution, pricing, profitability, and operational data to identify growth and efficiency opportunities. Develops KPIs, dashboards, scorecards, forecasts, and executive reports; evaluates sales and marketing performance; supports planning, budgeting, inventory management, and process improvement. Ensures data integrity, improves reporting capabilities, and translates complex findings into actionable recommendations while partnering cross-functionally with leadership, suppliers, sales, marketing, operations, finance, and IT.

Maintains databases, documentation, data dictionaries, and reporting processes. Performs data audits, validation, and analysis across multiple sources; creates reports, dashboards, and visualizations; identifies trends; presents recommendations; and improves data collection and reporting efficiency. The role also tracks state documents, adjuster renewal licenses, and internal claim audits while collaborating with departments to meet reporting needs.

As an Analyst in Finance Analytics & AI, you will develop AI agents to automate finance workflows, build data models, and create user-friendly applications for stakeholders, ensuring accurate financial analysis and reporting.

Owns governance, quality, mastering, and lifecycle management of client and intermediary data across Salesforce, MDM platforms, and external data sources. Oversees data feeds, reconciliations, reporting workflows, vendor relationships, matching logic, survivorship rules, documentation, and issue resolution. Partners with Distribution, Marketing, Product, Technology, and leadership to improve data integrity, reporting automation, platform integration, and client intelligence capabilities.