Top Data & Analytics Jobs

Develops marketing dashboards, reports, and measurement capabilities to analyze customer behavior, campaigns, promotions, media, and demand. Uses SQL, BI tools, segmentation, forecasting, scenario modeling, and media mix modeling to optimize marketing spend and improve conversion, loyalty, revenue, and ROI. Collaborates with marketing leadership and cross-functional stakeholders to deliver actionable insights, automate KPIs, and support strategic planning.

Designs and maintains enterprise conceptual, logical, and physical ESG data models supporting sustainability, risk, finance, and treasury functions. Collaborates with data architects, technology teams, sustainability stakeholders, and enterprise architecture to align models with data governance, regulatory, and architectural standards. Defines data flows and sources, supports development projects, establishes ownership processes, and translates business requirements into scalable data solutions using SQL, UML, and data modeling tools.

Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts.

Supports Facilities Services by analyzing business processes, translating operational needs into system requirements, developing reports, assisting with automation and AI solutions, and providing hardware and software support. The role collaborates with multiple divisions to improve efficiency, maintain systems, troubleshoot technology, and support reliable IT services across the university.

Develop, test, and deploy reporting and data management applications supporting 24/7 semiconductor manufacturing operations. Transform complex manufacturing data into actionable reports and logistics information using BI tools, SQL, Java, and data-mining techniques. Collaborate with production control, manufacturing, engineering, and value-stream teams, drive continuous improvement, and provide periodic off-shift or on-call support.

Designs scalable data and AI architectures, data pipelines, warehouses, and integrations. Advises clients on secure, resilient, flexible, and cost-effective cloud data solutions; translates business needs into technical requirements; evaluates emerging technologies; and connects technology decisions to measurable outcomes. Requires expertise in data modeling, governance, quality, security, ETL, cloud platforms, and big data tools.

Enters, reviews, cleans, and maintains driver and vehicle test data in customer databases and tracking files. Analyzes data for errors, duplicates, outliers, patterns, and trends; communicates findings and maintains documentation. Collaborates with drivers, test engineers, and project managers while following customer policies, safety procedures, and deadlines. The role also includes administrative recordkeeping, including labor and expense reports.

Leads digital experimentation and decision science across the organization, including opportunity sizing, hypothesis development, test design, metrics selection, analysis, reporting, and implementation. Serves as the experimentation subject matter expert, manages testing tools and governance, trains internal teams, supports user research, and translates findings into recommendations and testing roadmaps that improve donor and supporter engagement and conversion.

Conducts quantitative and qualitative consumer research, manages seasonal style and color testing, analyzes survey and sales data, and translates findings into dashboards, reports, presentations, and communications. Coordinates qualitative research logistics, maintains research documentation, identifies consumer trends, and partners with cross-functional teams to improve product, merchandising, marketing, and business decisions.

Analyzes customer support operations data to support digital transformation initiatives. Collects and validates data, develops dashboards and recurring reports, defines metrics, identifies trends and risks, and translates findings into recommendations. Partners with program managers, IT, operations leaders, and stakeholders to evaluate digital support tools, monitor performance, measure customer experience and containment outcomes, and improve support efficiency. Supports requirements gathering, documentation, business reviews, and special analysis projects.