Top Hybrid Data Analysis Jobs

Leads the technical vision, architecture, and delivery of enterprise search analytics and ontology solutions for ecommerce. Manages and mentors software engineering teams, integrates platforms, oversees IT service operations and quality, and improves search relevance using NLP, vector search, personalization, machine learning, and performance KPIs. Partners with product, data science, and engineering leaders while driving ontology, metadata, governance, and semantic search adoption across digital commerce.

Leads global network economics and value optimization initiatives through data-driven pricing, interchange, revenue, and profitability analysis. Develops predictive models, simulations, segmentation frameworks, reporting, visualizations, data pipelines, and scalable analytics tools using large datasets. Partners with global and regional pricing teams, translates stakeholder needs into analytical solutions, presents actionable findings, manages project delivery, and mentors junior colleagues.

Supports pricing analytics initiatives through data extraction, reporting, dashboard development, trend analysis, KPI tracking, and recommendations. Partners with business teams across revenue, sales, marketing, digital, and customer organizations; contributes to multi-year pricing offers, recurring performance reviews, quarterly business reviews, and testing of pricing initiatives. Uses BI and data tools to synthesize insights and support revenue management decisions.

Develop and enhance data analytics solutions for Internal Audit, including automated testing, continuous monitoring, dashboards, reporting, risk analysis, and anomaly detection. Partner with audit teams, data owners, and stakeholders to analyze complex data, document procedures and findings, improve audit processes, and evaluate responsible applications of AI, machine learning, and automation.

Analyze product and healthcare billing data to support product decisions, reporting, experimentation, and claims collection improvements. Build and maintain dashboards, develop scalable datasets, conduct A/B testing, create data visualizations, and communicate actionable insights. Collaborate with product stakeholders, data scientists, and engineers on data modeling, OKRs, data quality, and pipeline reliability for Billing and Payments features.

Analyzes, cleans, engineers, and visualizes data to establish metrics, identify insights, develop hypotheses, and recommend strategies. Creates customer-ready reports and presentations, defines ETL requirements, and partners with cross-functional teams to support strategic decisions and measurable business performance.

Analyzes complex data to support business strategies, develops self-service data solutions, dashboards, metrics, and visualization tools, and manages data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, data management, Snowflake development, business intelligence, and collaboration with technology and business teams.

Lead data analytics strategy, mine and analyze large-scale datasets, build and validate models, improve reporting and operational processes, evaluate products and marketing initiatives, and consult on data systems. Manage and mentor junior analysts, collaborate across business units, oversee concurrent projects, and apply business intelligence tools to support customer experience and organizational decision-making.

Analyzes business performance, trends, competitor filings, and insurance product data for assigned states or product lines. Develops actionable recommendations, advanced queries, analytical tools, and strategic initiatives. Leads workstreams and low- to moderate-complexity projects, presents findings to product managers, supports countrywide implementations, and identifies improvements to property and specialty insurance offerings.

Analyze business data, uncover operational improvement opportunities, and develop automation and self-service solutions. The role partners with stakeholders and subject matter experts, performs ad hoc analysis, communicates actionable insights, and leads simplification projects. It requires experience with analytics and automation tools including Alteryx, Tableau, SAS, SQL, Python, Snowflake, AWS, APIs, and AI/ML concepts. This is an onsite role five days per week and does not offer visa sponsorship.

Executes quantitative analytics for cobrand credit card portfolios, focusing on acquisition, engagement, retention, attrition, rewards, and cardholder value. Develops analytical frameworks, supports experimental design, maintains data integrity, applies segmentation and generative AI, and presents actionable recommendations to senior leaders and partners. Collaborates with marketing, product, and analytics teams to improve partnership strategy and customer outcomes.

Analyzes customer behavior, marketing performance, and business trends to deliver actionable insights. Builds predictive models, forecasts, dashboards, data pipelines, and self-service analytics solutions. Designs experiments, performs statistical and hypothesis testing, evaluates attribution and customer metrics, and communicates findings through concise presentations to stakeholders and leadership. Collaborates across marketing, partnerships, finance, sales, product, engineering, and machine learning teams to support strategic decision-making.