Top Analytics Jobs in Wichita, KS

The Fraud Analytics Intern will analyze data, create fraud features, develop predictive models, and collaborate with data scientists in cloud environments.

Design, deliver, and consult on analytics projects in consumer lending, including modeling, portfolio analysis, and marketing analytics with hands-on coding expertise in Python and Spark.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.

The Associate Director/Senior Manager will lead commercial analytics and forecasting efforts, develop insights, establish processes, and manage data strategies within the organization.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

As a Quantitative Analyst, you will support credit strategy development, perform data analysis, and collaborate with teams to monitor credit risk metrics and automate processes.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

The role focuses on improving application quality of experience through data analytics and engineering, collaboration with teams, and effective communication.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the development of analytics and BI functions within Snorkel's Data-as-a-Service team, focusing on data modeling, team management, and driving strategic business decisions based on analytics insights.

As the first Data Engineer, you will manage data ingestion, architecture, and quality for our algorithmic trading team, ensuring high-performance datasets.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

Analyze data to drive insights for fraud detection and customer onboarding, develop dashboards, and collaborate across teams to optimize strategies.

The role involves leading product analytics, collaborating with teams to improve customer experience, conducting A/B tests, and deriving insights from product data.

The Associate Director, Pipeline Analytics will lead data-driven insights, predictive modeling, and portfolio prioritization in oncology R&D to optimize asset development and commercialization strategies.