Top Entry Level Data & Analytics Jobs

Generates and evaluates market intelligence to identify contracts, grants, funding streams, and growth opportunities. Researches commissioners, funders, competitors, procurement activity, policies, and market conditions; conducts market sizing and opportunity assessments; and produces concise briefs, alerts, market maps, and executive summaries. Maintains intelligence repositories, calendars, source records, and competitor profiles while supporting pipeline development, market positioning, and strategic decision-making.

The Business Systems Analyst bridges business and IT by documenting objectives, eliciting and validating requirements, analyzing systems and processes, supporting automation, conducting data analysis, and developing recommendations and reports. The role collaborates with project stakeholders, creates and executes test plans, supports users through training and documentation, and ensures solutions align with business strategies.

Supports economic research, data collection, model maintenance, and analysis of macroeconomic factors, used vehicle markets, residual values, and portfolio performance. Develops databases, monitors projections, conducts ad hoc research, prepares reports and presentations, and communicates recommendations to leadership. The role applies econometrics, predictive analytics, market data, and responsible AI practices to inform business strategy and risk decisions.

Analyze CRM campaigns, customer behavior, conversion trends, and call center performance to generate actionable insights. Develop dashboards, KPIs, and repeatable reporting tools using Excel and analytics platforms. Combine and validate data from multiple sources, troubleshoot discrepancies, support marketing initiatives, and communicate findings to stakeholders. The role also involves improving analytical processes and standardizing marketing performance measurement.

Build and scale programmable data infrastructure supporting Vesalius Therapeutics’ human cellular biology platform. The role contributes to large-scale genetics, genomics, stem cell, cellular phenotyping, and artificial intelligence initiatives designed to uncover causal biology and identify therapeutic intervention points.

Analyzes supplier deal performance, revenue opportunities, forecasts, and commercial risks for global travel partnerships. Supports supplier negotiations, models deal structures, develops strategic reporting and optimization plans, and translates complex data into actionable recommendations for leadership, Sales, Pricing, and Client Management. The role requires strong analytical, commercial, communication, stakeholder engagement, and strategic thinking skills.

Develops and prioritizes digital and analytics initiatives across Power Systems. Builds dashboards and reports, defines business requirements and performance measures, improves data quality, coordinates application implementations and integrations, supports testing and rollout, and trains users. Partners with department leaders, IT, Caterpillar resources, and technology providers to improve workflows, application adoption, decision-making, and customer experience. Monitors results and recommends continuous improvements.

Designs, deploys, and maintains Oracle Fusion Cloud business intelligence and reporting solutions. Gathers stakeholder requirements, develops reporting frameworks and dashboards, manages data warehousing and analytics solutions, and ensures data accuracy, integrity, and security. Troubleshoots reporting issues, improves reporting processes, and recommends enhancements that support business decision-making.

Leads logistics analytics and the Infor Nexus supply chain visibility platform. Owns platform configuration, reporting, backlog prioritization, agile delivery, data quality, governance, and stakeholder requirements. Oversees Power BI dashboards, semantic models, logistics KPI reporting, and EDW data partnerships. Manages analysts and matrixed IT and vendor resources while improving shipment visibility, carrier performance insights, ETA accuracy, and decision-making.

Analyze complex datasets to identify trends, risks, and opportunities; develop reports, dashboards, and scorecards; perform ad hoc and advanced analytics; manage data extraction, transformation, validation, and governance; design and measure business initiatives; and present actionable recommendations to stakeholders and leadership.