Top Data & Analytics Jobs

Leads business intelligence and quantitative analysis projects for Federal government clients. Develops data methodologies, financial performance reports, dashboards, KPIs, and analytical recommendations using Oracle, Tableau, Power BI, Python, and related tools. Translates stakeholder requirements into reporting solutions, manages data processes, presents findings, oversees quality assurance, coordinates project tasks, manages client relationships, and trains less experienced team members.

Owns discovery and requirements for complex, cross-functional data, automation, and AI initiatives. Structures ambiguous problems, creates requirements and process artifacts, facilitates senior stakeholder alignment, evaluates tradeoffs, supports prioritization, and anticipates integration and downstream impacts. The role also mentors business analysts, reviews their work, improves analysis standards, and promotes knowledge sharing. Experience with data platforms, analytics, workflow automation, AI initiatives, requirements management, and stakeholder facilitation is required.

Leads Allegion’s Data & Analytics team, overseeing data warehouse and lakehouse architecture, Power BI semantic models, self-service BI, and data management services. Manages Analytics and Data Engineers while providing hands-on technical direction. Responsibilities include roadmap development, master data management, data lifecycle and archival solutions, stakeholder collaboration, code governance, process improvement, and team development.

Part-time, temporary grant observer responsible for conducting accurate visual observations of oncoming traffic, gathering and documenting data, identifying risks, recommending corrective actions, and supporting compliant grant implementation. Work occurs outdoors during daylight hours in Oklahoma from October through December 2026.

Build and maintain ETL pipelines, integrate data from multiple sources into warehouses, automate data collection, and perform cleansing, validation, and quality monitoring. The role supports on-premises and cloud analytics platforms, documents technical processes, and collaborates with Agile teams under the guidance of senior data engineers and data scientists.

Provides Tier 1 and Tier 2 remote technical support for hardware, software, peripherals, networks, VPN, and MFA issues. Configures and ships laptops and equipment for new hires, manages accounts and permissions across Google Workspace, Microsoft 365, Slack, and internal systems, and develops knowledge-base documentation and training guides. Supports the company’s North American expansion and remote workforce.

Analyzes, cleans, validates, and visualizes healthcare data to produce reliable reports and dashboards. Collaborates with stakeholders to translate business needs into analytical tasks, identifies trends and opportunities, improves data quality and reporting processes, and presents dashboards to field executives. The role focuses on behavioral health and clinical data across multi-site healthcare operations.

Leads enterprise data governance across ERP, engineering, manufacturing, finance, and operations. Establishes governance policies, ownership models, standards, and data quality metrics; oversees master and reference data in SAP and Oracle; governs product, BOM, routing, specification, ECR, and ECO data; supports SOX compliance, audits, access controls, system integrations, and engineering software licensing data. Partners cross-functionally to resolve data issues and improve processes without direct authority.

Leads the U.S. Housing analytics function across Single-Family and Multifamily portfolios. Manages and develops an analytics team, owns the analytics roadmap, establishes Power BI and KPI standards, and partners with Product, Technology, Engineering, and business leaders. Remains hands-on with SQL, Python, Redshift, Power BI, predictive analytics, forecasting, and segmentation. Drives AI-assisted analytics, data quality, reporting adoption, cross-functional delivery, and integration of previously separate analytics teams and processes.

Summer interns support functional departments through data gathering, process improvement, problem-solving, and operational efficiency initiatives. They complete a core assignment and special project, communicate progress and results, collaborate across teams, and present outcomes to leadership. Responsibilities may span HR, manufacturing, quality, supply chain, commercial, engineering, or IT. Interns must work full-time during the internship and demonstrate professionalism, accountability, continuous improvement, and safe work practices.