Data Analyst
United States
Quest Analytics
Our provider network software solutions & services provide unmatched tools & insights for you. Discover how you can measure, manage, monitor & model.At Quest Analytics our team members can fulfill their quest to work in an innovative, collaborative, challenging and flexible environment supportive of personal growth every day. The team is driven to make healthcare more accessible for all Americans. We are seeking a highly analytical and technically skilled Data Analyst with Data Engineering capabilities to join our Provider Network Analytics team. This hybrid role requires a unique combination of analytical thinking, engineering mindset, and the ability to develop innovative solutions from scratch. The ideal candidate should have a strong foundation in data analysis, data engineering, and business intelligence, along with high level understanding of healthcare provider, payer, claims, or network data.
This role offers the opportunity to work on cutting-edge provider network analytics initiatives, drive efficiencies through automation, and leverage advanced data engineering techniques. If you are passionate about data, analytics, and problem-solving with an engineering mindset, we encourage you to apply!
#LI-Remote
What you'll do:
- Perform custom ad hoc analyses to support business needs, leveraging critical thinking and mathematical problem-solving skills.
- Develop and maintain robust data pipelines, automating data extraction, transformation, and loading (ETL) processes.
- Manage and maintain reference datasets, including recurring data extraction from external websites and automated updates.
- Build intelligent data models to enhance analytics and decision-making.
- Utilize Databricks, SQL Server, and Python to process and analyze large datasets efficiently.
- Work with Google Cloud Platform (GCP) and Microsoft Azure to optimize cloud data solutions.
- Design and develop data visualizations using Tableau, Power BI, or other BI tools to present findings and insights effectively.
- Implement best practices in data governance, data storage, and database design.
- Research and explore new methodologies to answer complex business questions without predefined playbooks.
- Collaborate with cross-functional teams to understand data requirements and improve data quality and accessibility.
What it requires:
- Bachelor’s degree, preferably in data analytics or computer engineering
- Minimum of 3 to 5 years of experience in a data analytics position
- A background in Engineering
- Strong experience with Databricks, SQL, and Python.
- Solid understanding of Google Cloud Platform (GCP) and Microsoft Azure.
- Experience with data visualization tools like Tableau, Power BI, or other BI tools.
- Proficiency in relational database, SQL query writing, and data modeling.
- Knowledge of ETL development, automation, and data pipeline orchestration.
- Understanding of data governance, data storage, and database design principles.
- Familiarity with healthcare data, including provider, payer, claims, and network data, is a significant plus.
- Strong critical thinking and problem-solving abilities.
- Ability to work independently and innovate in an unstructured environment.
- Exceptional analytical and mathematical reasoning skills.
- Strong communication skills to translate technical insights into business recommendations.
- High attention to detail and ability to ensure data integrity and accuracy.
- Self-motivated with an Engineering mindset to research and explore new solutions.
- Ability to collaborate with cross-functional teams and stakeholders.
What you’ll appreciate:•Workplace flexibility – you choose between remote, hybrid or in-office.•Company paid employee medical, dental and vision•Competitive salary and success sharing bonus•Flexible vacation with no cap, plus sick time and holidays•An entrepreneurial culture that won’t limit you to a job description•Being listened to, valued, appreciated -- and having your contributions rewarded•Enjoying your work each day with a great group of people Apply TODAY!careers.questanalytics.com
About Quest AnalyticsFor more than 30 years, we’ve been improving provider network management one groundbreaking innovation at a time. 95% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Business Intelligence Data analysis Data Analytics Databricks Data governance Data pipelines Data quality Data visualization Engineering ETL GCP Google Cloud Pipelines Power BI Python RDBMS Research SQL Tableau
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Salary bonus Startup environment
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