Top Hybrid Data Analysis Jobs

Support Pro Outside Sales by analyzing transaction-level data, building forecasts and dashboards, validating business impact, partnering with Finance, and delivering actionable insights to field sales leaders.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

As a Senior Associate in the Financial Crime Unit at PwC, you'll analyze complex datasets using SQL and Python, apply machine learning techniques, mentor junior team members, and build client relationships while enhancing your technical skills.

As a Senior Quantitative Researcher, you will enhance pricing models and algorithms using advanced statistical and machine learning techniques in the fixed income market sector.

As a Decision Analytics Associate Consultant, you will apply advanced bioinformatics techniques to analyze multi-omics datasets, develop bioinformatics workflows, and collaborate with interdisciplinary teams to deliver insights for life science challenges.

The role involves developing statistical models and custom analyses, guiding decision-making with data, and maintaining client relationships.

Design and apply advanced statistical models and custom analyses (R, SAS, Tableau, VB, Excel) to inform client decisions, communicate results, build client relationships, produce deliverables, mentor junior team members, and support project status and implementation.

The role involves leading a team to develop machine learning models, analyze large datasets, and translate complex data insights into business goals. Requires collaboration with cross-functional teams to enhance decision-making and model validation.

The Senior Manager, Data Analysis will validate business impacting analytical tools, assess methodologies, coach junior staff, and execute validation projects.

Develop, implement, and validate quantitative financial models (VaR, asset pricing, PDEs). Perform statistical and machine learning modeling, stochastic simulation, optimization, and model documentation. Provide analytical support, insights for risk management, and collaborate with stakeholders to improve processes and meet regulatory requirements.

The Pension Risk Transfer Data Analyst will manage and analyze participant data, ensure accurate benefit calculations, and support the installation team, collaborating with various stakeholders to enhance process efficiency.

The Senior Pricing and Packaging Analyst will analyze data to inform pricing strategies, develop recommendations, and work collaboratively across teams to implement these strategies.

The EIR Analyst conducts rigorous evaluation and research using the Colorado All Payer Claims Database, translating findings into actionable insights to improve healthcare in Colorado through innovation and data-driven solutions.