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Planned Parenthood of the Rocky Mountains · 5 hours ago

Data Scientist

United States

Full-time

Remote

Mid Level

$90K/yr - $114K/yr

Planned Parenthood of the Rocky Mountains is committed to creating a dynamic work environment that values diversity, equity, and inclusion. They are seeking a Data Scientist to conduct analysis of business trends, develop data strategies, and support the implementation of departmental visions to improve patient health outcomes.

Hospital & Health Care

Responsibilities

Design analytical tools and frameworks to monitor business trends, financial, quality, and other performance indicators

Identify methods to improve data collection, analysis, and reporting

Write SQL code to support dynamic reporting and visualization efforts, including joining data tables and cleaning/harmonizing data fields

Execute ad-hoc analysis to address specific business questions from internal and external stakeholder groups

Build and maintain VP-, C-Suite-, and Board-level reports and KPIs

Ensure data collection and reporting processes are in compliance with various local, federal, and private funding requirements, both legal and medical

Lead the adoption of information architecture that meets and evolves with the organization’s needs

Implement data strategy, build data capacity, and optimize systems to improve patient health outcomes

Acquire and standardize data from primary and secondary sources and maintain data systems

Initiate data fixes, process improvements, and perform testing/validation activities

Manage systems for efficiently collecting, analyzing, and reporting on key data

Analyze financial, quality, performance, and other data to assure quality of care, sound business practices, and excellent patient and staff experience

Conduct analysis of PPRM business trends in timely way to forecast accurately and/or identify opportunities for improvement

Utilize scientific method to set hypothesis and test results, find meaning in data, and apply to specific business context

Assess and diagnose trends in internal and external environments that impact business operations

Provide leadership in the development, implementation, maintenance, optimization, and utilization of dashboards and key indicators

Construct effective and efficient systems for analyzing revenue and expenses

Conduct financial modeling and forecasting

Qualification

Healthcare analyticsSQLMachine learningStatistical modelingPower BIETL processesData visualizationFinancial modelingGIS expertiseCommunication skillsDocumentation

Required

Master's degree in data science, Computer Science, Statistics, or a related field. Or a bachelor's with equivalent skills or experience

Ample experience in healthcare analytics, including working with CPT and diagnosis codes

Proficiency in working with Relative Value Units to assess provider productivity, optimize resource allocation, and evaluate financial performance

Advanced proficiency in SQL, Power BI, and relational databases

Strong knowledge of machine learning frameworks and programming languages

Experience with statistical modeling, predictive analytics, and financial forecasting

Familiarity with ETL processes, data warehouses, and data cleaning techniques

Strong understanding of healthcare regulation, including HIPAA and PHI management

Excellent communication and storytelling skills with data visualization tools

Experience writing and maintaining clear, structured documentation for data processes, models and workflows

Ability to develop financial models that incorporate historical visit trends, payer mix, reimbursement rates, and operational costs to produce accurate revenue forecasts