Top Data & Analytics Jobs

Own pharmaceutical media performance reporting, analyze marketing data, develop dashboards, identify optimization opportunities, and present actionable insights to clients. Support attribution, test and control analyses, predictive modeling, AI-enhanced reporting, and process improvements. Collaborate with strategy, analytics, media, client services, data science, and technology teams to advance reporting capabilities and data-driven decision-making.

Designs and implements secure, scalable data infrastructure for intelligence weapons systems. Responsibilities include translating requirements into data models and pipelines, integrating multiple data sources, monitoring and optimizing workflows, documenting data processes, and supporting data architecture. The role requires advanced SQL, Python, data modeling, pipeline operations, and collaboration with government customers and cross-functional teams.

Analyzes Amazon and retailer.com performance to identify e-commerce growth opportunities, improve profitability, assortment, availability, and digital shelf execution. Builds reporting and forecasts, integrates marketplace, financial, inventory, and consumer data, evaluates promotions and retail media, and provides executive-ready recommendations. Partners cross-functionally with Sales, Merchandising, Marketing, Planning, Inventory, Finance, Operations, and Data teams to establish KPIs, improve forecasting, and drive online growth.

Leads market research projects for global FMCG clients, from research design and questionnaire development through fieldwork, quantitative and qualitative data analysis, reporting, and final presentations. The role involves client liaison, project management, international research coordination, and translating data into actionable insights. Experience in ad-hoc agency research, quantitative methods, report writing, storytelling with data, and strong organization and communication skills is required.

Own the analytics roadmap, data platform, semantic models, customer-facing analytics, and AI-native analytics agents. Partner with cross-functional leaders to establish trusted metrics, improve operational and patient-access insights, and deliver data products that drive measurable outcomes. Strengthen dbt and Snowflake foundations, create governed self-service workflows, and provide technical mentorship as the analytics function grows.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Develops maintenance training metrics covering schedule execution, student feedback, training impact, and return on investment. Analyzes survey responses, identifies trends, and recommends schedule, curriculum, and process improvements. Prepares summary reports and presentations for program reviews and staff knowledge support. Requires five years of data analysis experience supporting complex projects, database design experience, Microsoft Office proficiency, U.S. citizenship, and eligibility for a Secret clearance.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.

The Business Analyst gathers and documents business and functional requirements, analyzes workflows, creates user stories and process diagrams, and translates stakeholder needs into buildable solutions. The role partners with Product, Engineering, QA, clients, and leadership throughout the product lifecycle, supporting backlog refinement, UAT, implementations, training, and feature rollouts. The analyst also identifies process gaps, risks, dependencies, and automation opportunities while maintaining accurate product and workflow documentation.

Leads the architecture, governance, modeling, and evolution of investment data platforms. Designs Snowflake structures, semantic layers, data products, metadata frameworks, quality controls, and AI-ready data foundations supporting portfolio management, research, trading, risk, reporting, and analytics. Partners with investment and technology stakeholders, documents architecture, establishes standards, and enables governed self-service and intelligent data consumption.