Top Data & Analytics Jobs

Design and deploy ML and NLP models (including LLM evaluation) to predict borrower risk and property valuations, advise business teams, mentor junior analysts, and foster data-driven experimentation.

Analyzes customer support, CX, survey, and operational data to produce reports, identify trends and gaps, and inform continuous-improvement roadmaps. Elicits and documents requirements, user stories, acceptance criteria, process maps, and alternatives analyses for IT and automation initiatives. Maintains CX roadmap and gap-analysis artifacts, prepares governance briefings, supports KPI reviews and UAT, and collaborates with technical, business, and government stakeholders.

Supports healthcare data analytics and research projects by evaluating diverse datasets, developing statistical models, validating and cross-referencing data, analyzing care and outcome patterns, and communicating findings to nontechnical stakeholders and clients. The role includes learning healthcare data types, SAS programming, research design methods, and quality improvement analytics while collaborating across multiple teams and managing concurrent projects.

Leads enterprise taxonomy, metadata governance, content classification, and digital asset organization across marketing and digital platforms. Designs metadata schemas, taxonomy models, tagging standards, workflows, reporting, and quality assurance processes. Oversees implementations in Adobe and other content systems, partners with Marketing, Digital, Compliance, Data, and IT, and drives adoption through training and documentation. Ensures content is discoverable, consistent, operationally efficient, and aligned with business and regulatory requirements.

Analyzes digital product usage, customer behavior, performance, and business data to drive product adoption and outcomes. Develops KPIs, dashboards, reports, measurement frameworks, and business insights; validates data quality and supports governance. Partners with Product, Finance, Technology, and business stakeholders on prioritization, ROI analysis, product roadmaps, and continuous reporting improvements. Translates complex findings into actionable recommendations and supports self-service reporting solutions.

Supports customer onboarding by preparing, formatting, validating, and migrating data and files. Responsibilities include running test migrations, reconciling datasets, documenting mappings and results, tracking project progress, resolving data issues, supporting cutovers, and escalating discrepancies. The role collaborates with implementation and R&D teams while maintaining client-data confidentiality and identifying process improvements. Excel is required; SQL, SaaS, migration tools, accounting data, and implementation experience are beneficial.

Own analytics and reporting initiatives for EDU Partnerships, from defining business questions through delivery and adoption. Build scalable dashboards, reports, data products, and self-service resources; analyze partner health, performance, student engagement, risks, and opportunities; and deliver partner-facing insights. Collaborate with Product, Engineering, Data, Success, Sales, Marketing, Finance, and Support while communicating findings, improving data quality, and enabling stakeholders to make informed decisions.

Analyze sales, customer, market, and operational data to identify trends and opportunities. Build and maintain Power BI dashboards, reports, and KPI reporting, perform recurring and ad hoc analyses, and provide actionable recommendations. Partner with cross-functional stakeholders to support sales performance, profitability, pipeline management, customer engagement, and account optimization. Translate complex data into clear insights for technical and non-technical audiences.

Leads risk and fraud analytics covering loss attribution, fraud investigations, recovery strategy, loss forecasting, merchant collateral sizing, and return-rate monitoring. Produces monthly loss reporting and merchant scorecards, evaluates proposed risk rule impacts, forecasts portfolio losses, explains variance, and presents recommendations to risk, finance, commercial, and compliance stakeholders. Manages analysts and guides data-driven decisions across payments risk portfolios.

Develop and optimize large-scale data systems, ETL pipelines, storage, entity-resolution products, and data automation infrastructure. Build and integrate ingestion and processing pipelines using AWS, Airflow, Spark, PySpark, and EMR. Create testing and monitoring components, develop analytical tools, support data governance and quality, collaborate with data science teams, and document technical solutions.