Senior Data Scientist

Wakely Consulting Group; Saint Paul (MN); On-site; USD 120,000 - 145,000; Full time

Benefits offered by this job

Health benefits

Dental insurance

Vision insurance

401(k) with match

Paid time off

Job summary

HMA is seeking a Senior Data Scientist I to investigate and resolve complex healthcare data issues across client implementations, regulatory reporting, and data integration workflows. You will analyze SQL code, ETL processes, and business rules to validate results and propose solutions enhancing data accuracy and reporting.

Collaborating with cross-functional teams, you will translate findings into actionable recommendations for data integration and encounter submission capabilities, while

Qualifications

• Minimum a bachelor’s degree in data science, biostatistics, epidemiology, computer science, mathematics, statistics, information systems, healthcare informatics, or a related field is required.
• Minimum of 5 years of experience working with healthcare data, analytics, data investigation, data quality, reporting, or data integration processes is required.
• Minimum of 3 years of experience developing and analyzing SQL queries is required.

Responsibilities

• Investigates and resolves complex healthcare data issues, discrepancies, and operational questions.
• Performs root-cause analysis by reviewing source data, SQL code, ETL processes, business rules, and processing workflows.
• Analyzes claims, encounter, enrollment, eligibility, provider, and financial data to identify trends and data issues that affect client deliverables and operational processes.
• Writes and maintains complex SQL queries for data validation, analysis, troubleshooting, reconciliation, and reporting.
• Collaborates with developers, analysts, operations teams, client service teams, and business stakeholders to define problems, evaluate impacts, and implement solutions.
• Translates analytical findings into recommendations that support data integration, reporting, operational processes, and encounter submission capabilities.
• Serves as a subject matter resource for assigned clients, data domains, business rules, and processing methodologies.
• Documents findings, recommendations, data issues, business rules, and resolutions.
• Communicates technical and analytical findings to technical and non-technical audiences.
• Prepares analysis and supporting documentation for internal stakeholders, clients, and project teams.
• All other duties as assigned.

Skills

Advanced SQL

Root-cause analysis

Data analysis

Healthcare data

Communication

Stakeholder management

Project management

ETL processes

Data quality

Data transformations

Education

Bachelor's degree

Tools

SQL

ETL tools

Data profiling tools

Job description

The Senior Data Scientist I investigates and resolves complex healthcare data issues across client implementations, regulatory reporting, operational processes, and data integration workflows. This role analyzes healthcare data, SQL code, ETL processes, technical specifications, and business rules to identify root causes, validate processing results, and recommend solutions that support data accuracy, client deliverables, operational processes, and encounter submission capabilities. The Senior Data Scientist I collaborates with technical, operational, client service, and business teams, documents findings and recommendations, and communicates analytical results to technical and non-technical audiences.

Responsibilities

Work Performed and Job Requirements

• Investigates and resolves complex healthcare data issues, discrepancies, and operational questions.
• Performs root-cause analysis by reviewing source data, SQL code, ETL processes, business rules, and processing workflows.
• Analyzes claims, encounter, enrollment, eligibility, provider, and financial data to identify trends and data issues that affect client deliverables and operational processes.
• Data Quality and Technical Review
  • Writes and maintains complex SQL queries for data validation, analysis, troubleshooting, reconciliation, and reporting.
  • Reviews data transformations, ETL processes, technical specifications, and business rules to identify data quality and processing issues.
  • Validates processing results and recommends corrective actions to improve data accuracy and reporting.
• Collaboration and Solution Development
  • Collaborates with developers, analysts, operations teams, client service teams, and business stakeholders to define problems, evaluate impacts, and implement solutions.
  • Translates analytical findings into recommendations that support data integration, reporting, operational processes, and encounter submission capabilities.
  • Serves as a subject matter resource for assigned clients, data domains, business rules, and processing methodologies.
• Documentation and Communication
  • Documents findings, recommendations, data issues, business rules, and resolutions.
  • Communicates technical and analytical findings to technical and non-technical audiences.
  • Prepares analysis and supporting documentation for internal stakeholders, clients, and project teams.
• All other duties as assigned.

Qualifications

Education/Training

Minimum of a bachelor’s degree in data science, biostatistics, epidemiology, computer science, mathematics, statistics, information systems, healthcare informatics, or a related field is required.

Experience

Minimum of 5 years of experience working with healthcare data, analytics, data investigation, data quality, reporting, or data integration processes is required. Minimum of 3 years of experience developing and analyzing SQL queries is required. Experience with healthcare claims, encounter, enrollment, eligibility, provider, financial, or regulatory-reporting data is preferred.

Knowledge, Skills and Abilities

• Advanced SQL query development and data analysis skills.
• Ability to review and understand complex SQL code, ETL processes, data transformations, and business rule implementations.
• Knowledge of healthcare claims, encounter, enrollment, eligibility, provider, financial, and regulatory-reporting data.
• Ability to perform root-cause analysis and resolve complex data and processing issues.
• Ability to interpret technical specifications, business requirements, data structures, and processing workflows.
• Strong written and verbal communication skills.
• Strong interpersonal skills and ability to work effectively with technical and non-technical stakeholders.
• Strong project management, organization, and time management skills.
• Ability to manage multiple projects, investigations, and priorities concurrently.
• Strong problem-solving, analytical, and critical-thinking skills.
• Strong attention to detail and commitment to delivering accurate, high-quality work.
• Ability to learn new business domains, systems, and data structures quickly.
• Self-motivated with a commitment to continuous learning and process improvement.
• Ability to use technology and AI tools ethically and effectively to improve efficiency, quality, and processes while protecting confidential information and applying sound judgment.

EEO

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Additional Info

The posted salary range for this role at HMA includes a range of factors that we consider when making compensation decisions. These factors include but are not limited to experience, education, training, skills, licensures, and certifications, along with other business and organizational needs. HMA may adjust the posted salary range estimate for applicable geographic differentials associated with the location where we may fill the position. At HMA, we generally do not hire an individual at or near the top of the range for their role. All compensation decisions are dependent on the variables of each case. A reasonable estimate of the existing salary range for this position is $120,000 to $145,000.

HMA offers a robust benefits package for full-time colleagues. Benefits include health, dental, vision, group life/AD&D, voluntary life/AD&D, short-term disability, long-term disability, paid parental leave, paid time off, paid holidays, 401(k) employer match and safe harbor contribution, and our long-term equity incentive plan.