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Headquartered in New York, New York, Wellthy is a privately held healthcare coordination service that specializes in complex family care. Founded in 2014, Wellthy operates as a “
Data Analyst
Location
United States
Posted
86 days ago
Salary
$80K - $90K / year
Seniority
Mid Level
Job Description
Data Analyst
Wellthy
Role Description As our Data Analyst, you will support company leaders by providing essential analysis, insights, and reports to drive informed decision-making. You will report directly to the VP of Data, Product, & Engineering Operations. - Develop and maintain reports, visualizations, and dashboards to help monitor performance and identify areas for improvement. - Integrate AI tools into daily workflows to increase efficiency in data cleaning, initial analysis, and documentation generation. - Collaborate with team leads to understand and track outcome-based metrics that support company objectives. - Analyze data and provide stakeholders with clear, actionable insights to drive decision making. - Work with data engineers to understand data transformations and ensure data quality for reporting and analysis. - Manage ad hoc data requests from various business areas under the guidance of senior team members. - Document data processes and communicate findings or data issues to internal stakeholders. - Maintain a curiosity for modern data stacks and a willingness to learn tools such as Fivetran, Snowflake, dbt, Hightouch, and Thoughtspot. Qualifications - 3-5 years of experience as a data analyst. - Proficient SQL skills, 2+ years writing SQL queries (joins, CTEs, window functions). - 3-5 years of experience in building reporting in modern BI tools (e.g. ThoughtSpot, Looker, Tableau, etc). - Strong analytical skills with the ability to communicate actionable insights. - Strong attention to detail and accuracy in organizing and disseminating information. - Demonstrated ability to use AI assistants (e.g., ChatGPT, Claude, GitHub Copilot) to assist in writing SQL, debugging code, and writing documentation. - Experience developing and maintaining data transformations using dbt (preferred but not mandatory). - Hands-on experience building forecasting models (e.g., moving averages, exponential smoothing, Prophet) (preferred but not mandatory). - Experience supporting or building customer success reporting and analytics (preferred but not mandatory). - Proficiency with version control systems (e.g., Git) (preferred but not mandatory). - Experience using Python for data analysis, modeling, or automation (preferred but not mandatory). Requirements - To work remotely, you must have a strong internet connection, quiet space to take calls, and a professional (distraction-free) environment. - This is a remote and US states based opportunity. We ask that you work in a location that is private, with secure (not public) internet and phone access. - Suitable to safely and securely accommodate the sensitive information that you will be handling and communicating. - Given the nature of the material you will be working on and handling, you are required to work from a private, dedicated, distraction-free space. - We are currently not accepting candidates in the following states: Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and West Virginia. Benefits - The starting salary for this position is $80,000-$90,000 annually. - Remote work environment. - Medical, dental, and vision benefits within 30 days of hire. - Retirement saving account with matching company contributions. - Mental health benefits. - 15 days paid vacation, two additional days for each subsequent year (up to a maximum of 25 days). - Sick and Caregiving Days. - Professional development initiatives for growth. - Generous parental leave (maternal and paternal) during a new child’s first year (born into family or adopted) and pregnancy loss leave.
Job Requirements
- 3-5 years of experience as a data analyst.
- Proficient SQL skills, 2+ years writing SQL queries (joins, CTEs, window functions).
- 3-5 years of experience in building reporting in modern BI tools (e.g. ThoughtSpot, Looker, Tableau, etc).
- Strong analytical skills with the ability to communicate actionable insights.
- Strong attention to detail and accuracy in organizing and disseminating information.
- Demonstrated ability to use AI assistants (e.g., ChatGPT, Claude, GitHub Copilot) to assist in writing SQL, debugging code, and writing documentation.
- Experience developing and maintaining data transformations using dbt (preferred but not mandatory).
- Hands-on experience building forecasting models (e.g., moving averages, exponential smoothing, Prophet) (preferred but not mandatory).
- Experience supporting or building customer success reporting and analytics (preferred but not mandatory).
- Proficiency with version control systems (e.g., Git) (preferred but not mandatory).
- Experience using Python for data analysis, modeling, or automation (preferred but not mandatory).
- To work remotely, you must have a strong internet connection, quiet space to take calls, and a professional (distraction-free) environment.
- This is a remote and US states based opportunity. We ask that you work in a location that is private, with secure (not public) internet and phone access.
- Suitable to safely and securely accommodate the sensitive information that you will be handling and communicating.
- Given the nature of the material you will be working on and handling, you are required to work from a private, dedicated, distraction-free space.
- We are currently not accepting candidates in the following states: Alaska, Hawaii, Maine, Mississippi, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and West Virginia.
Benefits
- The starting salary for this position is $80,000-$90,000 annually.
- Remote work environment.
- Medical, dental, and vision benefits within 30 days of hire.
- Retirement saving account with matching company contributions.
- Mental health benefits.
- 15 days paid vacation, two additional days for each subsequent year (up to a maximum of 25 days).
- Sick and Caregiving Days.
- Professional development initiatives for growth.
- Generous parental leave (maternal and paternal) during a new child’s first year (born into family or adopted) and pregnancy loss leave.
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