Top Data & Analytics Jobs

Maintains and standardizes Plex manufacturing data, monitors KPI and inventory metrics, analyzes order and supply chain performance, prepares recurring reports, supports MRP/PRP accuracy, improves data processes, develops work instructions, and tracks departmental action items and corrective measures.

Analyzes syndicated, customer, shipment, and market data to deliver category, consumer, trade, pricing, and promotional insights. Develops reporting solutions, business reviews, selling stories, and strategic recommendations for clients and sales teams. Manages analytics projects, maintains data integrity, improves reporting processes, and mentors junior analysts while serving as a subject matter expert in category insights.

Supports CRM, data management, BIO, and business teams by assessing impacts, documenting implementation-ready requirements, resolving dependencies, and prioritizing delivery. Performs data profiling, discrepancy investigation, mapping validation, reporting impact analysis, and business-rule documentation. Facilitates stakeholders, coordinates delivery, and works with Salesforce and Veeva Vault CRM specialists using SQL, Python, Jira, and Confluence.

Provides hands-on technical leadership for data analytics support across enterprise customers. Responsibilities include resolving complex SQL, cloud platform, ELT, data pipeline, data warehouse, and BI issues; optimizing analytics solutions; conducting root cause analysis; reviewing SQL and BI changes; mentoring analysts; automating support processes; and advising customers on Tableau, Power BI, and modern analytics architecture.

Develops and oversees data strategies and architectures for Tech Ops IT. Translates business requirements into technical solutions, supports data modeling and warehouse integration, establishes standards for BI and advanced analytics, ensures data quality and integrity, coordinates warehouse changes with reporting teams, and recommends technology and process improvements.

Designs and leads enterprise database architectures, data models, integrations, governance, and performance initiatives. The role supports scalable and secure SQL Server environments, cloud platforms, data warehouses, ETL processes, reporting, analytics, and transportation safety data systems. Responsibilities include optimization, security, backup and recovery, documentation, technical standards, and collaboration with software engineering and business teams. The position requires strong relational database, SQL development, administration, and enterprise data modeling expertise.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

Leads enterprise analytics platform governance, architecture, roadmap, support, and continuous improvement. Translates business requirements into scalable analytics solutions, oversees BI and reporting tools, prioritizes backlogs, ensures security and data quality, and coordinates cross-functional delivery. Mentors analytics professionals, supports self-service analytics, standardizes solution patterns, manages stakeholder priorities, and provides technical guidance across projects and business units.

Analyzes business and system requirements, translates them into functional designs, and supports technology enhancements and quality initiatives. Collaborates with stakeholders on project scope, timelines, testing, demos, and implementation. Monitors system usage, investigates errors and exceptions, assists with UAT, tracks project progress, communicates risks, and serves as a technology subject matter expert within the mortgage and secondary market domain.

Designs and maintains scalable data pipelines, ETL/ELT processes, metadata repositories, data catalogs, and governance solutions. Responsibilities include data integration, modeling, lineage, quality monitoring, cloud data platform engineering, automation, and support for analytics and AI/ML workloads. Partners with architects, analysts, scientists, governance teams, and business stakeholders to improve data discoverability, compliance, and self-service analytics.