Top Entry Level Data & Analytics Jobs

Build and deploy governed data warehouse, BI, and data products supporting healthcare business workflows. Responsibilities include data acquisition, cleansing, validation, reconciliation, modeling, lineage, documentation, ETL/ELT, scalable pipelines, curated datasets, data quality, governance, and integration of multiple source systems. The role collaborates with product, application development, BI, security, architecture, and business teams to support dashboards, automation, AI-enabled workflows, agentic products, and decision support.

Manage customer master data by creating and onboarding accounts in SAP, linking web users to corporate accounts, merging duplicates, correcting records, and enriching data with validated external sources. Assign customer pricing tiers, conduct database audits, manage account-related request queues, and support data migrations, system updates, and other special projects while maintaining high accuracy and efficiency.

Analyzes customer account data, SLA performance, service metrics, and escalations across delivery hubs. Builds Excel dashboards, pivot tables, scorecards, trackers, and leadership reporting materials. Partners with Operations to validate data, identify root causes, detect risk patterns, and support issue resolution. Maintains data integrity and governance while contributing to reporting standardization and process improvements.

Develop and maintain enterprise data architecture, data and API strategies, standards, integration approaches, governance frameworks, and roadmaps for the Judiciary. Assess data sources, storage, APIs, security, privacy, compliance, analytics, and interoperability. Guide data warehouse and data lake solutions, data quality metrics, migration from on-premises to cloud, dashboard development, emerging technology evaluations, and stakeholder collaboration across technical and nontechnical teams.

Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.

Engage stakeholders to identify business needs, elicit and document functional and non-functional requirements, facilitate workshops and process mapping, support solution design, and collaborate with delivery teams through testing and change management. Maintain business cases, process flows, and requirements documentation while helping align technology solutions with business objectives.

Produce original data-driven journalism for Ignites and BoardIQ by sourcing, cleaning, analyzing, and interpreting complex datasets. Develop investigative and rapid-turnaround stories, identify trends and anomalies, and create charts, graphics, and interactive visualizations. Collaborate with reporters, editors, and visual journalists while supporting data journalism practices across the organization. Use public records, APIs, web scraping, databases, and proprietary datasets while maintaining accuracy, transparency, and journalistic integrity.

Analyzes and interprets business data to create accurate reports, dashboards, and visualizations. Translates stakeholder requirements into analytical solutions, identifies trends and improvement opportunities, maintains reporting documentation, and supports recurring reports and user guidance. The role also troubleshoots SSRS reports and communicates insights to business users and leadership in an office-based environment.

Analyze market, industry, competitor, and customer intelligence for Vistex’s served industries. Assess market opportunities, monitor competitors, identify trends, develop competitor profiles, and translate complex information into actionable insights. Findings support go-to-market strategies, product roadmaps, marketing direction, competitive positioning, pipeline development, and revenue growth. The role collaborates with industry, sales, marketing, product, and pre-sales stakeholders while managing multiple projects.

Develops and maintains econometric models, pricing algorithms, and automated tools to optimize marketplace prices. Analyzes large datasets, conducts price tests, validates models, identifies profit and sales opportunities, and communicates findings to leadership. Collaborates with pricing, business, and senior management teams to implement data-driven solutions and drive pricing projects independently.