Top Data & Analytics Jobs

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Supports digital experience analytics by analyzing customer data, optimizing marketing and sales programs, improving data collection and integration, building machine learning models for personalization, enabling rapid reporting, and evaluating KPIs. The internship also involves developing data products, training teams on analytics tools, and communicating actionable recommendations to stakeholders.

Analyze digital campaign and user journey data across email, web, social, and client systems. Build dashboards and reports, ensure data quality, develop measurement strategies, and translate quantitative and qualitative findings into actionable recommendations. Collaborate with internal teams, vendors, and government clients, presenting clear data narratives to nontechnical audiences and improving outreach performance, user experience, and reporting workflows.

Own end-to-end data and reporting solutions for a regulated mortgage lender. Responsibilities include request intake, requirements gathering, advanced SQL development, data profiling, validation, reconciliation, testing, UAT, migration support, launch readiness, post-launch monitoring, and stakeholder communication. The role also ensures data lineage, quality, compliance, and alignment with mortgage regulations while managing projects from scoping through production support.

Supports investment management data systems by improving data integrity, reporting, process automation, and operational efficiency. Processes and quality-controls portfolio data, troubleshoots systems, builds actionable reports, and assists with portfolio analysis, cash-flow projections, and financial modeling. Partners with investment, sales, client relations, and business teams while responding to data and reporting inquiries. The role also leverages AI tools to improve data access, workflow efficiency, and decision-making.

The Junior Data Analyst cleans, transforms, validates, queries, and maintains data for business intelligence. Responsibilities include database management, data quality assurance, statistical analysis, dashboard and report development, documentation, stakeholder collaboration, SOP support, and contributing to data lake or warehouse solutions. The role requires SQL, Excel, strong analytical skills, and the ability to support data-driven decisions in a fully on-site environment.

Leads advanced analytics for Sales Compensation, including quota processes, predictive modeling, reporting, data integration, ETL, and business intelligence. Analyzes data across applications, resolves discrepancies, defines data mappings, develops scalable automation and reporting solutions, collaborates with business stakeholders and DBAs, and delivers recommendations affecting multiple business organizations.

The Data Analyst will organize, validate, transform, and reconcile data from multiple healthcare practice management systems. Responsibilities include writing SQL and Python scripts, supporting a centralized data warehouse, building BI dashboards, validating data quality, analyzing business trends, documenting data processes, and partnering with Finance, Operations, Marketing, and leadership to deliver actionable insights.

Analyzes digital, marketing, e-commerce, customer, and commercial data to identify growth opportunities and improve customer engagement. Responsibilities include evaluating campaigns and funnels, measuring attribution and ROI, building Power BI dashboards, integrating CRM and marketing data, supporting A/B testing, conducting statistical and predictive analyses, and presenting actionable recommendations to stakeholders.

Own measurement strategies for large omnichannel brands, including test design, marketing mix modeling, incrementality analysis, attribution interpretation, and budget recommendations. Translate complex findings into actionable guidance for executives and marketing teams, support prospect conversations, identify customer and product gaps, and collaborate with Product, Data Science, and Customer Success. The role requires strong paid media expertise, omnichannel fluency, statistical measurement literacy, and the ability to communicate uncertainty and recommendations clearly.