Data Analyst Network Analytics at Quest Analytics

Overland Park, Kansas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Minimum of 2-3 years of experience in data analysis, with a strong preference for healthcare-related work
Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field (candidates with other degrees may be considered with relevant data analysis experience)
Demonstrated experience working with large datasets, including healthcare claims data
Proficiency in Excel and programming using SQL or Python
Strong understanding of technology, data manipulation tools, and data governance best practices
Ability to ask thoughtful, logical questions, pursue root cause analysis, and apply critical thinking
Strong analytical curiosity and a desire to understand the "why" behind the data
Proven ability to translate technical findings into clear, actionable business insights
Excellent problem-solving, listening, troubleshooting, and communication skills (both written and verbal)
Ability to work both independently and as part of a cross-functional team

Responsibilities

Data Ingestion and Cleansing: Acquire and ingest relevant data sets, including claims data and provider network files. Implement robust data cleansing procedures to ensure data accuracy and consistency
Data Enrichment and Analysis: Enhance datasets by integrating additional relevant information. Analyze complex datasets using a variety of tools, with a particular emphasis on SQL, Excel, and Databricks. Apply critical thinking and analytical curiosity to investigate data patterns, ask thoughtful and logical questions, explore root causes, and deliver context-driven insights that enhance understanding of business and can inform strategic decisions related to network design
Results Dissemination: Develop insightful and visually compelling reports using Power BI. Effectively communicate findings to internal teams and external stakeholders. Collaborate with cross-functional teams to ensure alignment of data analysis with business objectives
Continuous Learning and Innovation: Stay abreast of industry trends, regulations, and technological advancements. Continuously explore novel approaches and methodologies to address healthcare network challenges. Contribute to the development of cutting-edge solutions that differentiate our company in the market
Working with client services to understand and address client concerns around data or deliverables

Skills

Key technologies and capabilities for this role

SQLExcelDatabricksData IngestionData CleansingData EnrichmentHealthcare AnalyticsClaims DataProvider Network Analysis

Questions & Answers

Common questions about this position

What tools and skills are required for this Data Analyst role?

The role requires proficiency in SQL, Excel, and Databricks for data analysis, along with strong skills in data ingestion, cleansing, enrichment, and creating reports using Power BI.

What are the main responsibilities of the Data Analyst?

Responsibilities include data ingestion and cleansing of claims data and provider network files, data enrichment and analysis, developing reports in Power BI, communicating findings, and collaborating with teams.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of company culture does Quest Analytics offer?

Quest Analytics provides an innovative, collaborative, challenging, and flexible environment supportive of personal growth, with a team driven to make healthcare more accessible.

Quest Analytics

Healthcare network adequacy and optimization solutions

About Quest Analytics

Quest Analytics focuses on improving network adequacy and optimization in the healthcare industry. They provide advanced decision applications that assist clients, such as hospitals and health plans, in analyzing their provider networks. Their tools enable users to model networks, assess the effects of adding or removing providers, and identify gaps in coverage. This helps organizations comply with regulatory requirements and make informed decisions about their networks. Unlike many competitors, Quest Analytics combines software solutions with consulting services, generating revenue through subscriptions and consulting fees. They also offer educational events, like Quest Labs, to help clients learn and connect within the industry. The goal of Quest Analytics is to enhance the quality of care for patients by ensuring that healthcare organizations have efficient and compliant provider networks.

Appleton, WisconsinHeadquarters

2003Year Founded

$510.7KTotal Funding

ANGELCompany Stage

Consulting, HealthcareIndustries

201-500Employees

Benefits

Competitive salary

Success-sharing bonus

Company matching 401K and HSA Contribution

FSA, HSA and commuter benefits

100% company-paid high-deductible health plan, dental and vision for employee

PPO Plan option offered

Wellness benefits

Casual and fun work environment

Free gourmet coffee, drinks and snacks

Social and community outreach programs

Flexible work arrangements and telecommuting

Professional development and training

Monthly culture-building activities

Risks

Emerging platforms offering similar services at lower costs threaten market share.

Rapid AI advancements may outpace Quest Analytics' technological capabilities.

Partnership reliance poses risks if not renewed or partners develop in-house solutions.

Differentiation

Quest Analytics offers advanced decision applications for network adequacy and optimization.

Their integration with Motive Practicing Wisely enhances physician-specific data insights.

Quest Analytics' Provider Claims Insights tool provides comprehensive provider performance metrics.

Upsides

Integration of AI-driven analytics enhances decision-making in network performance.

Growing telehealth services increase demand for accurate provider data.

Focus on value-based care models drives need for comprehensive performance metrics.

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