Top Entry Level Data & Analytics Jobs

Analyzes finalized volunteering, giving, and HP LIFE datasets to identify trends, answer business questions, and develop visualizations, recommendations, and reusable analytical tools. Translates social impact data into evidence for commercial teams and customer opportunities. Documents methods and assumptions, explains findings to technical and nontechnical audiences, and collaborates with stakeholders. Military experience in intelligence, logistics, operations, or mission-performance analysis is directly applicable.

Supports manufacturing business systems by monitoring data integrity, analyzing SQL databases, developing queries and reports, and identifying operational improvements. Collaborates with plant leadership and cross-functional teams to resolve data issues, gather requirements, document workflows, and support system enhancements. The role also creates process maps, presents technical findings, maintains system documentation, and assists with continuous improvement, reporting, and manufacturing data collection initiatives.

Analyzes client data to identify patterns, trends, exceptions, and process improvement opportunities. Responsibilities include compiling daily reports, collecting and cleaning data, reviewing performance indicators, resolving data issues, recommending improved data-management methods, and presenting findings to company leaders. The role requires strong analytical ability, attention to detail, communication skills, proven data analyst experience, and advanced Microsoft Word and Excel proficiency.

Processes incoming data, scans forms, enters information into spreadsheets, and prepares production and return-mail reports for clients. Supports gift card fulfillment and inventory management, mail sorting, record retention, and production-helper duties. Maintains accurate paperwork, time records, confidentiality, and compliance with safety, mailing, and company procedures. Assists across departments as needed.

Teach undergraduate and graduate business technology courses, including Excel, data analytics, statistics, and AI in business. Develop curriculum, integrate digital tools and ethical technology use, mentor students, support professional certifications, and contribute to scholarship, service, accreditation, and university activities within a Christian higher-education environment.

Analyzes and validates compensation survey data, reviews anomalies and outliers, supports client job matching and survey participation, interprets data, and responds to client inquiries. The role also involves preparing client presentations, leading discussions about results, maintaining data integrity, communicating findings, and recommending process improvements. Occasional travel may be required for client meetings in the United States or Canada.

Supports bibliographic metadata workflows by researching, entering, validating, correcting, and enhancing title records. Updates Oracle datasets with cataloging classifications, subject headings, genres, and other coding details. Contacts publishers for missing information, verifies records, supports Collection Development, tracks data issues, participates in cross-functional problem-solving, and assists with departmental projects and workflow activities.

Collects, analyzes, and reports qualitative and quantitative data for internal teams, grantors, partners, and the community. Maintains client data systems, performs data mining, monitors grant outcomes, supports grant writing, and trains staff on data management. Oversees compliance with accreditation, state, and internal standards, coordinates audit documentation, identifies process improvements, and reports non-compliance to leadership.

Owns customer analytics data foundations across North America by building reliable datasets, pipelines, integrations, automated workflows, semantic models, dashboards, and reporting products. Performs customer segmentation, lifecycle, behavioral, and commercial analysis; validates data quality; resolves production issues; and applies automation and AI where valuable. Partners with CRM, e-commerce, retail, customer care, marketing, finance, and technology teams to translate business needs into scalable, maintainable self-service solutions.

Develop and maintain data pipelines, integrations, data models, and enterprise data platforms for the City of Philadelphia. Use Python, SQL, Airflow, databases, cloud tools, and related technologies to connect diverse systems, improve data quality and governance, support open-data initiatives, and document technical solutions. Collaborate with technical and nontechnical stakeholders to enhance public data accessibility and city services.