Top Entry Level Data & Analytics Jobs

Develop and manage data pipelines, integrations, analytics solutions, ontologies, business object models, and enterprise data architectures using Palantir Foundry. The role supports data governance, quality, lineage, operational workflows, technical solution design, and cross-functional collaboration with technical and business stakeholders. Federal or Department of Defense experience and Agile experience are preferred. A DOD Secret clearance is required.

Owns dataset strategy and quality for physical labor AI data. Defines the ideal dataset, objective functions, taxonomy, golden sets, acceptance criteria, audits, and incremental data value. Converts these frameworks into collection strategies, operational standards, and vendor requirements while optimizing information gain over unnecessary fidelity or volume. Partners with marketplace, software, research, and evaluation teams to connect dataset quality with model capability.

Prepares, reviews, validates, and completes client data packages and electronic data deliverables from laboratory testing. Processes deliverables according to client specifications, corrects routine errors, verifies software output, troubleshoots nonconformances, maintains records, meets deadlines, and identifies workflow and data-quality improvements. The role is primarily administrative and office-based, with occasional laboratory exposure.

Supports the eDiscovery Legal Team by managing litigation holds, document collection, subpoenas, legal databases, reporting, and data discovery workflows. Maintains databases and custom scripts, develops dashboards and reports, improves data quality and operational processes, evaluates legal technologies, and documents technical procedures. The role requires collaboration with legal and technical teams, analytical problem-solving, secure data handling, and administration of legal technology tools.

Participate in AHEAD’s associate development program, completing technical training, certifications, and project shadowing before supporting client data solutions projects. Responsibilities include collaborating across teams, solving complex problems, managing priorities, meeting deadlines, and developing consulting expertise. Candidates should have programming experience, SQL or NoSQL knowledge, willingness to travel extensively, and existing U.S. work authorization. Data platform and cloud experience are preferred.

Build and maintain full-stack data engineering solutions supporting BioIntelliSense’s remote patient monitoring and clinical intelligence platform. The role likely involves processing health-monitoring data, enabling analytics, and supporting reporting for clinicians, patients, and employers. Specific responsibilities and qualifications are not provided in the description.

Build and operate data pipelines that integrate customer financial data from ERPs, warehouses, and payment systems. Develop AI agents that automate ERP implementations, partner with implementation teams to understand and transform customer data, and contribute to shared AI platform capabilities. The role requires strong full-stack engineering fundamentals, autonomous execution, and comfort working in an ambiguous, fast-moving environment.

Serves as the technical and client-facing link between Inca Digital’s data engine and high-stakes financial and government clients. Conducts OSINT, web scraping, enhanced due diligence, blockchain and crypto investigations; analyzes large datasets; audits and synthesizes technical findings into intelligence reports; briefs executive stakeholders; and coordinates cross-functional teams to align products with client needs.

Conduct quantitative research to identify trading opportunities and develop trading strategies. Analyze financial datasets using statistical and probabilistic methods, distinguish signal from noise, and investigate market dynamics and microstructure. Build and use research frameworks, apply coding skills in languages such as C++ and Python, and collaborate across projects to improve the firm’s trading capabilities and profitability.

Analyzes product, sales, orders, pricing, inventory, profitability, and market data to generate actionable insights for strategic and operational planning. Develops forecasts, competitive analyses, pricing recommendations, dashboards, reports, and presentations for senior leadership and cross-functional teams. Supports product configuration databases, inventory optimization, and customer and sales discussions using advanced analytics and visualization tools.