Operations Data Analyst II

This is a fully remote position, open to applicants in California.

📋 Description

• Conduct comprehensive statistical and quantitative analyses of healthcare, operational, claims, encounter, membership, and enterprise data.

• Create statistical models and algorithms to detect anomalies, patterns, trends, risks, and opportunities.

• Utilize regression, hypothesis testing, forecasting, segmentation, outlier detection, trend analysis, and other quantitative techniques.

• Build and sustain analytical solutions using SQL, Python, R, Power BI, and other authorized tools.

• Act as the analytical lead or subject matter expert for designated operational areas.

• Generate enterprise dashboards, reports, data visualizations, and analytical products.

• Automate routine analytical processes, regulatory metrics, operational KPIs, and data validation tasks.

• Examine complex datasets from various sources to uncover relationships, trends, data quality issues, and improvement opportunities.

• Execute data profiling, validation, reconciliation, and quality assessments.

• Develop and preserve data models, analytical datasets, data definitions, and source-to-target mapping documentation.

• Collaborate with business stakeholders to establish analytical inquiries, methodologies, success metrics, and recommendations.

• Work in conjunction with Information Technology, Enterprise Analytics, developers, data engineers, consultants, and technical resources.

• Support enterprise data warehouse solutions, including Microsoft Azure Synapse.

• Create analytical solutions that support Grievances & Appeals, Encounters, Risk Adjustment, Claims, Membership, and related areas.

• Assess claims and encounter patterns and anomalies that indicate operational issues, payment variations, data quality concerns, or opportunities for investigation.

• Evaluate operational performance, identify statistically significant variations, and assess operational interventions.

• Conduct exploratory data analysis for new models, measures, and decision-support tools.

• Document methodologies, assumptions, limitations, data sources, and results.

• Present intricate analytical insights to both technical and non-technical audiences.

• Offer analytical guidance and technical support to Data Analyst I staff and Operations Analytics team members.

• Engage in cross-functional projects and enterprise initiatives.

• Stay updated on emerging analytical techniques and technologies and suggest capability enhancements.

• Ensure analytical solutions fulfill business, organizational, and regulatory requirements.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Information Systems, Business Analytics, or another quantitative or related field, or nine (9) or more years of progressively responsible relevant experience in lieu of a degree.

• Over five (5+) years of progressively responsible experience in data analysis, statistical analysis, business intelligence, or related analytical work.

• Proven experience in writing complex SQL queries and working with relational databases.

• Demonstrated experience in developing reports, dashboards, or analytical solutions using Power BI or another data visualization platform.

• Background in applying statistical methods to business or operational challenges.

• Proficient in advanced SQL/T-SQL.

• Experience with relational databases.

• Knowledge of Power BI or a comparable data visualization platform.

• Advanced skills in Microsoft Office.

• Capability to apply quantitative and statistical methods to complex business challenges.

• Proficiency in selecting suitable analytical methodologies and evaluating statistical results.

• Ability to assess data accuracy, completeness, consistency, and appropriateness.

• Competence in documenting analytical methods, findings, assumptions, and recommendations.

• Skill in communicating complex analytical concepts to both technical and non-technical audiences.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company matching.

• Paid time off and flexible work schedules.

• Opportunities for professional development and continuing education.

• Supportive and collaborative work environment.