Top Analytics Jobs

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

Perform quantitative and qualitative analysis of investment opportunities and valuations for NPL portfolios. Build and validate cash-flow models, mine and prepare data with SQL and statistical tools, produce reports and audits, recommend improvements to underwriting and portfolio returns, and support M&A and underwriting teams with technical valuation analysis.

The Staff Data Scientist will work with product teams to analyze data, identify improvement opportunities, design experiments, and create reporting dashboards to enhance contract management workflows.

Perform data analysis and management, build reports, dashboards, calculators, and maps; present findings to clients and stakeholders; mentor junior staff; collaborate with data science and technical teams; use SQL, Python, GIS, BI and spreadsheet tools to translate data into actionable insights and client-facing deliverables.

Write complex SQL queries and manipulate large datasets to produce end-to-end financial analysis of domestic and global roaming traffic. Gather requirements, identify data sources, rationalize results, produce written analysis, troubleshoot queries, and collaborate cross-functionally to make recommendations and support reporting needs.

Develop and apply analytics, statistics, and predictive models using R and Hadoop. Communicate results in presentations, collaborate within teams, adapt to changing business needs, and leverage insurance domain knowledge. Role is a 6-month contract with phone interview.

Analyze data from various company systems; perform correlation and regression analyses; apply strong statistical methods using R, Tableau, and Excel; interpret web analytics to inform insights.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

Lead development and validation of collateral and credit risk models for Single Family properties. Design analytical methods, perform data processing and cleaning, run ad hoc analyses, support model users, and translate complex statistical approaches into business terms while collaborating across teams.

No responsibilities, objectives, or required qualifications are provided in the job description. The posting only includes the job title (Data Analytics Lead) and placeholders without substantive details.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

As a Portfolio Analytics Specialist, you will oversee onboarding projects for hedge funds, address analytic challenges, and collaborate on improving software functionalities.

The Data Analytics SME will assess technical practices, perform data analysis, and manage data cleansing for compliance and reporting purposes. Responsibilities include using Tableau, PowerBI, and SAS for analytics and reporting, as well as supporting cross-agency data initiatives.

Collaborate with Marketing to analyze customer behavior and develop insights using large data sets. Execute analyses on business decisions, and present findings.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead market access deal analytics by developing data-driven solutions for payer strategy and reimbursement optimization, conducting claims data analyses, and integrating analytics into pricing strategies. Required to manage healthcare datasets and develop predictive models.

This role involves the application of semantic technologies, natural language processing, and text mining, as well as experience in data analytics and modeling techniques.

Analyze consumer-generated social media data, develop reports, and collaborate with data partners while utilizing web analytics and social listening platforms.

The Business Analyst will analyze online retail data, manage onsite/offshore teams, execute analytics projects using statistical techniques, and deliver actionable business recommendations.

The Senior Digital Data Analyst will track user journeys, segment audiences, analyze datasets, and conduct A/B testing to provide insights for clients.

The role involves teaching various data analytics courses, engaging in scholarly research, and providing service to the university and community, all while integrating Christian principles.

The Associate, Data Analytics will analyze data to provide actionable insights for various teams, focusing on problem-solving, effective communication, and collaboration with stakeholders.