Top Data & Analytics Jobs

Lead cross-functional analytics initiatives across product, marketing, audio development, and business operations. Build data models, dashboards, self-serve reporting tools, and actionable company-wide metrics. Analyze activation funnels, A/B tests, growth KPIs, and product health while optimizing the analytics infrastructure. Partner with executives, engineering, product, marketing, and data engineering teams to improve governance, data adoption, and decision-making.

Analyze onsite search behavior to identify gaps and opportunities, audit product data quality, recommend ranking and query improvements, build synonym libraries, monitor search KPIs, and partner across engineering, product, and marketing to improve relevance and conversion.

Provide senior-level functional and technical support for Army business and installation systems (GFEBS, eMH, ISR, RPLANS, ArcView GIS). Perform SQL-based data mining, validation, reconciliation, reporting, dashboarding, and geospatial analysis to ensure data integrity, audit readiness, regulatory compliance, and decision support for senior leadership.

Own enterprise analytics audits, implementations, data quality, attribution, segmentation, SQL analysis, BI dashboards, experimentation measurement, and client reporting. Serve as the senior analytics partner for major accounts, present insights to executives, train client and internal teams, and help define analytics and experimentation services. The role requires hands-on Adobe expertise, autonomous prioritization, technical collaboration, and the ability to connect organic and AI search performance to pipeline and revenue.

Supports the Dean’s Office by collecting, cleaning, analyzing, and presenting enrollment, faculty workload, academic program, and survey data. Builds Excel datasets, dashboards, visualizations, and recurring reports using university systems such as WebFOCUS and Banner. Administers Qualtrics surveys, validates and documents data, responds to analytical requests, identifies trends and inconsistencies, and communicates findings to college leadership while maintaining confidentiality and data security.

Processes, analyzes, validates, and quality-controls LiDAR, point cloud, aerial imagery, and other geospatial datasets. Produces maps, terrain and surface models, contours, orthomosaics, 3D models, and infrastructure-focused deliverables. Supports GIS data management, utility GIS, spatial analysis, schema development, web maps, field data solutions, and automation using Python and related tools. Collaborates with engineers, surveyors, GIS professionals, and project managers to troubleshoot data issues and improve repeatable geospatial workflows.

Analyze semiconductor materials pricing data, identify market trends, validate and standardize information, monitor data quality, investigate discrepancies, document analyses, and support data pipeline and ETL optimization. The role also involves communicating findings, improving data hygiene, and collaborating cross-functionally while learning new analytical tools and best practices.

Leads the Prospect Research and Analysis team supporting college advancement and fundraising strategy. Oversees prospect identification, data validation, research methodologies, deep-dive analysis, intelligence gathering, visualization, reporting, and briefing materials. Develops actionable recommendations, expands donor prospect pools, forecasts trends, improves research processes, and manages cross-functional initiatives. Supervises staff, partners with senior administration and fundraising leadership, and promotes data integrity, confidentiality, innovation, and collaboration.

Develop and maintain Power BI dashboards and reporting tools for government contract cost, schedule, and performance tracking. Integrate financial, schedule, and contract data into secure automated pipelines and centralized data models. Build KPI visualizations with role-based access and drill-down capabilities, validate data accuracy, conduct user acceptance testing, document procedures, and train government users.

Own end-to-end analytics across marketing, revenue, product, and partnerships. Build reliable data models and semantic layers in a lakehouse, maintain dashboards and monitoring, investigate anomalies, conduct experimentation, and translate complex analyses into recommendations for senior stakeholders. The role requires advanced SQL, Python, data modeling, stakeholder communication, autonomy, and mentoring, with responsibility for improving data quality and building analytical standards in a high-growth startup.