Top Data & Analytics Jobs

Drive AI automation for card data by developing data solutions, business intelligence tools, metrics, dashboards, and data-quality monitoring. Analyze complex structured and unstructured data, establish data governance and lineage, support access governance, and partner with technology and business teams. The role requires scripting, querying, visualization, AWS development, and experience applying LLM technologies to data strategies and process improvement.

Analyze complex data to support business strategy, build self-service data solutions, develop dashboards and metrics, and improve data governance and quality. The role partners with business and technology teams, manages data access and metadata, monitors data quality, and applies Python, R, Spark, SQL, AWS, and visualization tools across innovation, business intelligence, and data management initiatives.

The Big Data Analyst will evaluate datasets, improve analytical methods, support software developers, and assist end-users to enhance decision-making processes.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

Analyze Marketing data to develop monitoring systems, standardized reports, and dashboards. Write SQL queries, support dbt models, investigate channel performance, conduct root cause analysis, communicate findings to non-technical stakeholders, track incidents, and support vendor and data infrastructure evaluations.

Analyzes payments and banking data to identify trends, improve products, and enhance operational efficiency. Builds dashboards, conducts deep-dive and experimental analyses, monitors customer behavior, and delivers actionable insights to stakeholders. Partners with product managers, engineers, and leadership to define success metrics, ensure data quality, support fraud response, and improve analytics processes.

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Supports analysis of customer, operational, and transactional data to identify trends and improvement opportunities. Develops forecasts, reports, dashboards, and data resources; integrates data from multiple sources; performs data-quality checks; validates AI-generated outputs; and documents analytical methods. The role also assists with NLP-enabled customer-interaction analysis, including classification, clustering, and semantic analysis, while collaborating with senior analysts and business partners.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.

Analyzes consumer, mortgage, and business lending portfolios to identify credit risk trends, delinquency, charge-offs, risk migration, and model performance. Prepares Credit Council reports, validates risk metrics, supports CECL modeling and stress testing, and provides underwriting and pricing insights. Collaborates with Lending, Finance, Compliance, Technology, and ERM teams to improve data quality, reporting, decision-making, and lending processes while supporting regulatory compliance.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

Provide reporting and real-time analytics for a 24x7 Tier II service desk. Design, validate, and deliver ad hoc and scheduled reports using SQL/SSRS, working with leadership. Onsite role in Columbia, SC supporting government customer.

Provide reporting and real-time analytics for a 24x7 Tier II Service Desk. Write T-SQL against Microsoft/warehouse databases, build SSRS reports, validate results, and partner with leadership on ad-hoc and scheduled reporting. Onsite in Columbia, SC, and must be eligible for Secret clearance.

Paid, full-time 11-week summer internship for a rising senior pursuing a bachelor’s degree. The intern will analyze customer reliability issues, research escalations, manage resolution through compliance checks and internal coordination, and identify trends using data and AI/ML research methods. The program also includes mentorship, networking, professional development, community service, and cross-functional projects.

Paid, full-time summer internship analyzing customer communication data, optimizing customer touchpoints, identifying message overlap with SQL, and building interactive Tableau dashboards. The intern will help reduce over-messaging, improve customer journeys, participate in professional development and networking activities, and collaborate with departmental teams and an intern cohort.

Paid, full-time data analyst internship supporting business planning and data operations. Responsibilities include documenting data definitions, business rules, and data quality requirements; integrating data from multiple sources; completing roadmap projects to improve process efficiency; and identifying data-driven strategies to enhance business performance. Interns also participate in professional development, networking, mentorship, community service, and final presentations.

Support private markets data operations by processing LP documents, triaging automated exceptions, ensuring data quality, and analyzing trends to inform product and process improvements. Coordinate with onshore/offshore teams and partner with Product and Engineering on operational needs.

Lead advanced risk, fraud, and payment optimization analyses for major fintech merchants. Analyze large-scale transactional, ML output, and labeled risk data; design experiments and statistical investigations; develop scalable analytical tools, ETL workflows, dashboards, and reusable frameworks; collaborate with risk product teams; translate findings into merchant strategies and product improvements; enable commercial stakeholders through playbooks and self-service tools; and mentor analysts.

Leads compliance risk data analytics and testing strategy, plans and executes analytical projects, evaluates analytical tools, prototypes emerging practices, and translates technical findings for legal, compliance, risk, and executive stakeholders. The role also includes cross-functional partnership, written and verbal communication, and coaching and mentoring junior staff.

Owns analytics for Spotlight Listings, including KPI frameworks, executive dashboards, inventory capacity modeling, pricing and packaging experiments, revenue reporting, data quality, and marketplace measurement. Partners with Product, Marketing, Sales, Engineering, and FP&A to guide commercial decisions, improve product performance, and identify renewal risks. Requires advanced SQL and Python skills, causal inference expertise, experimental design experience, and the ability to translate analysis into measurable revenue or product impact.

Design and maintain billing data systems that reconcile patient engagement data, codify auditable billing logic in BigQuery SQL, automate data cleanup with Python or Google Sheets scripting, and generate accurate, version-controlled invoice files. Investigate mismatches and edge cases, document workflows, and collaborate with Finance, Sales, Engineering, and Product to improve billing inputs and processes.

Develop data solutions, business intelligence tools, dashboards, and analytical insights while managing data quality, metadata, lineage, security, access governance, and data quality monitoring. Partner with business and technology teams to address complex data problems and enable self-service analytics. The role requires scripting, querying, visualization, AWS development, and data governance expertise.

Analyzes Tax & Cost Basis data processes, trends, and quality; develops reports and actionable recommendations; tests software and data workflows; documents procedures; collaborates with Product, Operations, and Development; and helps automate processes to improve efficiency and reduce manual work.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.