Top Data & Analytics Jobs in Wichita, KS

The Compliance Default Servicing Analyst at Upgrade will ensure that default servicing practices comply with regulations and internal policies. Responsibilities include vendor due diligence, oversight of existing vendors, collaboration with internal teams, and advising on collections and default issues.

The Associate, Data Scientist at OppFi will be responsible for combining data from multiple sources, conducting data quality checks, exploratory analysis, and building machine learning models for credit risk and marketing. This role requires understanding algorithms, bias variance tradeoff, and model interpretability.

Quality Engineering role working on Machine Learning technologies, involving test automation, analyzing results, creating test plans, and supporting engineering organizations.

As a Staff Data Scientist at Kyruus Health, you will identify high-impact business opportunities through data exploration and model prototypes. You will apply ML modeling techniques for complex problems, develop features collaboratively, establish best practices for model deployment, and build ML solutions at scale.

Lead the product business development for Flight Data Analysis solutions, collaborate with cross-functional teams, and leverage aviation expertise to enhance flight safety. Required commercial pilot certificate and in-depth knowledge of safety management systems.

The Security Operations Center (SOC) Analyst will monitor security events and logs, identify potential security incidents, perform analysis and investigations, develop security incident response processes, provide technical guidance, and stay updated on security threats and vulnerabilities.

The Technical Data Analyst III at GHX is responsible for analyzing, reporting, and enriching platform data to enable capabilities for data and analytics solutions in healthcare. Duties include identifying patterns in data sets, evaluating processes for efficiencies, writing efficient code, conducting impact analysis, and supporting design processes through ETL using various technologies. Qualifications include a Bachelor's degree in computer science, 5-8 years of professional data analysis experience, familiarity with Snowflake and Sigma BI, strong analytic skills, and attention to detail. Preferred qualifications include familiarity with data science tools and healthcare data standards.