Top Entry Level Analytics Jobs

Leads AI-enabled pricing and commercial excellence initiatives for John Deere Construction & Forestry. Applies analytics, competitive intelligence, pricing models, and scalable processes to improve deal quality, decision speed, revenue, and margins. Partners with pricing, sales, marketing, finance, revenue management, dealers, and leadership to translate complex data into actionable guidance and drive adoption of advanced pricing capabilities.

Participate in a three-year rotational development program across three John Deere business areas. Apply data science, data engineering, statistical modeling, predictive modeling, visualization, and analytics techniques to business problems. Manage large datasets, support analytics projects, collaborate with stakeholders, and develop expertise with analytics technologies. Assignments are onsite in Illinois or Iowa and require domestic relocation.

Participate in a three-year rotational development program across John Deere business areas. Apply data science, data engineering, statistical analysis, predictive modeling, visualization, and programming techniques to solve business problems. Manage large datasets, support analytics projects, collaborate with stakeholders, and build expertise in analytics technologies while completing three one-year assignments.

Maintains and validates financial and securities reference data for clients, ensuring accuracy, completeness, and compliance. Responsibilities include monitoring investment data, evaluating vendors, documenting workflows, supporting data solutions, analyzing accounting and custody information flows, performing basic SQL tasks, and collaborating with clients, data providers, and internal teams. The role requires developing knowledge of fixed income, equities, corporate bonds, derivatives, and related investment processes.

This co-op develops analytical solutions for fulfillment performance reporting. Responsibilities include understanding fulfillment processes, consulting on data pipelines, developing data models and dashboards, analyzing trends, and providing insights and recommendations. The role collaborates with product managers, visualization analysts, data scientists, IT, technical teams, and fulfillment operations.

Collaborate with product managers, analysts, data scientists, IT, technical teams, and fulfillment teams to develop analytics solutions. Analyze fulfillment processes and data, consult on data pipelines, build data models and dashboards, and provide reporting to help fulfillment and brand operations teams improve performance and decision-making.

Develop market intelligence, forecasting, statistical models, scenario analyses, and automated reporting for supply chain decisions. Integrate internal and external datasets using Python, R, SQL, and other tools; build dashboards; support data governance; and translate analytical findings into recommendations for procurement, planning, and executive stakeholders.

Collects, validates, analyzes, and reports data using GA4, GTM, Looker, and other analytics tools. Supports measurement plans, quality assurance, digital marketing campaign optimization, client analytics needs, and cross-functional collaboration. The role also involves learning AI tools, documenting methodologies, developing consultative skills, and contributing to process improvements while supporting diverse client accounts.

Manages data operations for approximately 25 perinatal clinical research studies. Responsibilities include designing research databases, maintaining data dictionaries and documentation, extracting and cleaning complex datasets, developing dashboards and monitoring systems, conducting analyses, ensuring data quality and regulatory compliance, supporting reporting and publications, training research staff, and improving EHR, AI, and data-management workflows.

Build and maintain dashboards, automate reports, manage and QA marketing data, integrate sources, and support campaign analysis. The role validates datasets, monitors tracking and taxonomy, identifies performance insights, and helps prepare client-facing deliverables. It is designed for an early-career analyst developing expertise in media platforms, visualization tools, data querying, attribution, and marketing performance measurement.

Own revenue forecasting models, pipeline analytics, and commercial performance insights across a global flexible-workspace network. The role integrates data from Salesforce, Looker, Snowflake, and spreadsheets; analyzes pricing, conversion, sales velocity, unit economics, and marketing and sales efficiency; partners with Finance and commercial leaders on budgets and planning; and communicates findings through actionable memos and presentations.

Co-op supporting supply chain analytics initiatives through data engineering pipelines, business dashboards, predictive analytics, and forecasting models. The role involves working with large datasets, translating business needs into Power BI dashboards and analytical models, and helping deliver projects that improve operational decision-making. Candidates should understand machine learning, forecasting, cloud technologies, SQL, Python, relational databases, and supply chain operations.

Teaches undergraduate and graduate business analytics courses in hybrid formats. Develops syllabi, lesson plans, course materials, assignments, and exams aligned with learning objectives. Facilitates student learning through face-to-face and online instruction, grades consistently, provides timely feedback, and integrates responsible AI use into teaching. Participates in faculty training and ongoing professional development.

Analyze and resolve pricing control exceptions involving fees, interest, refunds, and servicing activities. Review processes, build automated analytical workflows, develop reporting, and apply anomaly detection and responsible generative AI concepts. Partner with analysts, managers, product, operations, analytics, and technology teams to improve monitoring, documentation, and controls. Communicate findings clearly, manage multiple workstreams, and drive continuous improvement across card pricing operations.

Teaches undergraduate and graduate business intelligence and analytics courses in a blended learning environment. Responsibilities include developing syllabi and lesson plans, preparing and updating course materials, using online technologies, setting course expectations, designing and grading assessments, providing timely student feedback, and integrating responsible AI practices. Faculty also participate in required training and ongoing professional development.

Develops automation, data pipelines, databases, analytics, machine learning models, reporting tools, and web applications for package technology quality assurance. Analyzes manufacturing, product, and reliability data to support risk assessment and root-cause investigations. Collaborates with engineering teams, communicates findings, trains users, maintains software and reports, and shares analytics best practices across global teams.

The job description is unavailable. The role title indicates responsibility for analyzing originations data and producing insights, reports, or recommendations related to lending originations.

Supports sales teams through pricing analytics, reporting, financial analysis, data quality monitoring, and ad hoc analysis. The role gathers and analyzes complex data from multiple platforms, creates customer-facing presentations, manages stakeholder expectations, resolves issues, and serves as a subject matter expert for assigned categories. It requires advanced Excel skills, strong communication, analytical problem-solving, and familiarity with Tableau, Alteryx, and Salesforce.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Leads content analytics by designing reporting systems, analyzing performance across digital platforms, generating data-driven insights, advising content teams, automating data collection and analysis, and presenting findings to senior and non-analytical audiences. The role also uses experimentation, data science techniques, LLM prompting, and agentic AI tools to improve content performance.

Own end-to-end analytics for a live-service game, including SQL analysis, A/B testing, metric reconciliation, dashboards, pipelines, simulations, forecasting, and applied ML. Translate findings into product, monetization, live-ops, and economy decisions. Use AI coding agents while validating their outputs, build reliable internal tools and services, maintain reporting, and communicate practical recommendations to technical and nontechnical stakeholders.

Leads executive-facing analytics for Home Lending Product Strategy, framing hypotheses, measuring impact, evaluating tradeoffs, and delivering recommendations and business cases. Coordinates analysts across matrixed teams, partners with Strategy, Product, Marketing, Finance, Originations, and Technology, conducts market and competitor research, and translates complex analysis into concise insights for senior decision-makers.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Analyze and maintain manufacturing data systems, develop KPI dashboards, ensure reporting accuracy, and provide data-driven insights for engineering projects and cause investigations. Collaborate with operations, process engineering, quality, and manufacturing associates, occasionally collecting data on the shop floor and supporting compliance with quality standards.

Tenure-track faculty member responsible for teaching undergraduate data analytics courses, developing curriculum, advising and mentoring students, conducting a focused research program, and contributing service to the program, university, and profession. The role emphasizes interdisciplinary instruction, inclusive pedagogy, experiential learning, and collaboration across academic disciplines.