Operations Data Analyst II

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $100k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gold Coast Health Plan

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

At Gold Coast Health Plan, we are driven to create the health plan of the future - today. We are disrupting the conventions of the health care industry by creating and applying leading-edge solutions to its many challenges.

📋 Description

• Perform advanced statistical and quantitative analysis of healthcare, operational, claims, encounter, membership, and enterprise data • Develop statistical models and algorithms to identify anomalies, patterns, trends, risks, and opportunities • Apply regression, hypothesis testing, forecasting, segmentation, outlier detection, trend analysis, and other quantitative techniques • Develop and maintain analytical solutions using SQL, Python, R, Power BI, and other approved tools • Serve as analytical owner or subject matter resource for assigned operational domains • Develop enterprise dashboards, reports, data visualizations, and analytical products • Automate recurring analytical processes, regulatory metrics, operational KPIs, and data validation activities • Analyze complex datasets from multiple sources and identify relationships, trends, data-quality issues, and improvement opportunities • Perform data profiling, validation, reconciliation, and quality analysis • Develop and maintain data models, analytical datasets, data definitions, and source-to-target mapping documentation • Partner with business stakeholders to define analytical questions, methodologies, success measures, and recommendations • Collaborate with Information Technology, Enterprise Analytics, developers, data engineers, consultants, and technical resources • Support enterprise data warehouse solutions, including Microsoft Azure Synapse • Develop analytical solutions supporting Grievances & Appeals, Encounters, Risk Adjustment, Claims, Membership, and related areas • Evaluate claims and encounter patterns and anomalies indicating operational issues, payment variation, data-quality concerns, or investigation opportunities • Measure operational performance, identify statistically significant variation, and evaluate operational interventions • Perform exploratory data analysis for new models, measures, and decision-support tools • Document methodologies, assumptions, limitations, data sources, and results • Present complex analytical findings to technical and non-technical audiences • Provide analytical guidance and technical support to Data Analyst I staff and Operations Analytics team members • Participate in cross-functional projects and enterprise initiatives • Maintain awareness of emerging analytical techniques and technologies and recommend capability improvements • Ensure analytical solutions meet business, organizational, and regulatory requirements • Perform other 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 degree • Five plus (5+) or more years of progressively responsible experience performing data analysis, statistical analysis, business intelligence, or related analytical work • Demonstrated experience writing complex SQL queries and working with relational databases • Demonstrated experience developing reports, dashboards, or analytical solutions using Power BI or another data visualization platform • Experience applying statistical methods to business or operational problems • Advanced SQL/T-SQL • Relational databases • Power BI or comparable data visualization platform • Advanced Microsoft Office skills • Ability to apply quantitative and statistical methods to complex business problems • Ability to select appropriate analytical methodologies and evaluate statistical results • Ability to assess data accuracy, completeness, consistency, and appropriateness • Ability to document analytical methods, findings, assumptions, and recommendations • Ability to communicate complex analytical concepts to technical and non-technical audiences

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