Data Operations Associate
Swooped
Job Overview
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Job Description
About Our Client
Our client's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. The company is fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. This approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. The organization is one of the fastest-growing healthcare technology companies in the country. Its products are trusted by the most sophisticated employers and providers in the industry, and the company is building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the Data Operations Associate Role
Our client is seeking an exceptional Data Operations Associate to join the Data team. This role will work with QA analysts, product managers, data scientists, and data engineers to ensure that the algorithms fueling the organization's recommendations run on time and produce accurate and reliable data. The Data Operations Associate will also validate data sets, doing independent research to confirm the data sets are reliable inputs. The ideal candidate for this role will be detail-oriented and have some experience with or strong interest in working with data.
Work Environment
This position is available for individuals who are comfortable with remote work and occasional travel to HQ.
Key Responsibilities
- Curate, validate, clean, and analyze datasets
- Perform research on various healthcare related subjects
- Follow documented procedures to complete recurring tasks like performing quality assurance on data
- Execute monthly operational data pipelines
- Balance several projects at the same time while maintaining a high degree of quality, organization, and communication
- Suggest process improvements as you identify them
- Build and retain detail-oriented working knowledge of the organization's processes and data infrastructure
Who You Are
- A bachelor’s degree in a major that required critical thinking, attention to detail, and research skills
- Demonstrated work or academic experience in data cleaning, manipulation, and analysis
- Familiarity with data manipulation in Google Sheets or Excel; interest in/familiarity with coding languages like SQL
- A desire to work in a rapidly evolving startup environment; comfortable with some ambiguity
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Compensation & Benefits
The target salary range for this position is $60,000 - $75,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in the organization's equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Key skills/competency
- Data Curation
- Data Validation
- Data Cleaning
- Data Analysis
- Healthcare Research
- Quality Assurance
- Data Pipelines
- Google Sheets
- Excel
- SQL
How to Get Hired at Swooped
- Research Client's Culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor Your Resume: Customize your resume to highlight data cleaning, analysis, and healthcare technology experience relevant to the Data Operations Associate role.
- Show Data Proficiency: Emphasize skills in Google Sheets, Excel, and SQL for efficient data manipulation and operational tasks.
- Prepare for Behavioral Questions: Practice articulating experiences demonstrating critical thinking, attention to detail, and problem-solving in data-centric scenarios.
- Understand Healthcare Impact: Be ready to discuss your motivation to contribute to transforming healthcare in the U.S. and its economic model.
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