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    Data Analyst - New Haven, United States - Wellinks, Inc.

    Wellinks, Inc.
    Wellinks, Inc. New Haven, United States

    1 week ago

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    Description

    Job Title:
    Data Analyst

    Reports to:
    Sr. Director of Engineering


    FLSA:
    Exempt

    Location:
    Remote


    About Wellinks:


    Wellinks is the COPD disease management company committed to empowering people to live fully and breathe freely by improving outcomes for those we serve.

    We are creating a future where COPD care is designed and delivered around the individual and supported by a team striving to help them live a healthier, more fulfilling life.

    Our partners choose Wellinks to deliver a tailored and personalized health care experience for their members, resulting in improved outcomes at lower costs.

    Wellinks is a high-growth company that is rich with mission-driven talent, guided by passionate healthcare leaders, and backed by world class investors.

    We are headquartered in New Haven Connecticut, conveniently between Boston and New York, and have team members across the US.


    Our Values:

    Principled:
    We say what we do and do what we say.

    Collaborative:
    We work together, empower people, and celebrate relationships.

    Innovative:
    We are resilient and learn from all experiences and challenges.

    Effective:
    We measure what matters and are outcomes driven.

    Authentic:
    We celebrate diversity, inclusion, and the perspective of others

    Job Summary:
    The Data Analyst is tasked with harnessing data to drive strategic insights and decisions across the organization.

    This role entails the careful analysis and testing of new data pipelines, the creation of SQL views for various healthcare-related datasets, and the development of compelling dashboards and reports for internal and external stakeholders.

    Responsibilities include the rigorous analysis and interpretation of data to uncover trends and inform business strategies. The Data Analyst will streamline data processes, ensuring accuracy and accessibility of information across departments.

    Collaboration with the rest of the Engineering team and other cross-functional teams is key to align data initiatives with organizational goals.

    The ideal candidate brings both expert analytical skills and communication skills, adept at project management and fluent in communicating complex data insights to stakeholders.

    Proficiency in AWS services and a solid foundation in statistical analysis will distinguish top applicants. This position represents a critical opportunity to influence the organization's data-driven culture and contribute to its success.

    The candidate should also be comfortable working in a start-up environment with staffing under 50 employees.

    Key Responsibilities:


    Collaborate with the engineering team and department stakeholders to identify and document requirements for new data pipelines, ensuring alignment with business objectives.

    Partner with data engineers to test and validate new data pipelines, providing feedback and ensuring data accuracy and consistency.
    Design and create SQL views to generate new datasets tailored to specific business needs.

    Help organize and maintain a repository of SQL views and datasets, ensuring they are up-to-date, accurate, and accessible to relevant stakeholders.

    Build, maintain, and validate internal dashboards using data visualization tools, ensuring they effectively communicate key metrics and insights.

    Prepare, analyze, and present recurring and ad hoc reports to internal teams and external partners, offering key findings and actionable insights.

    Help prepare data features for use in further analysis and machine learning models.
    Conduct comprehensive data analysis to uncover trends, patterns, and insights; present findings in a clear and actionable manner.
    Utilize statistical methods to support analysis and generate comprehensive business reports.
    Continuously monitor and improve the efficiency and effectiveness of data reporting and analysis processes.

    Required Qualifications:
    Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Health Informatics, or a related quantitative field.
    Experience working in the healthcare industry.
    Strong proficiency in SQL and experience in managing and creating SQL queries and views.
    Experience in building dashboards and reports with tools like Tableau, Power BI, or AWS Quicksight.

    Strong analytical skills with an emphasis on accuracy, attention to detail, and the ability to analyze and disseminate large amounts of information.

    Proven project management skills with the ability to work independently and manage multiple projects in a dynamic environment.
    Excellent communication and documentation skills, capable of translating complex data into actionable insights for both technical and non-technical audiences.
    Familiarity with healthcare data and understanding of compliance requirements (HIPAA, SOC2) is highly desirable.
    Knowledge of statistical analysis and experience with statistical software (R, Python, etc.)

    Preferred Qualifications:
    Proficiency with AWS services, particularly in data management and analytics (Athena, QuickSight, SageMaker, Glue, S3, etc.)
    Experience working with Medical Claims data, clinical informatics, and other healthcare information.
    Familiarity with AWS Athena for building views or running ad-hoc queries on large datasets.
    Certification in AWS (such as AWS Certified Data Analytics) is a significant plus.
    A competitive compensation package
    Generous PTO
    Paid Parental leave
    Matching 401k retirement savings plan
    Wellinks embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

    The more inclusive we are, the better and more impactful our work will be Wellinks is an equal opportunity employer and prohibits discrimination based on race, color, religious creed, age, sex, gender identity or expression, marital status, national origin, ancestry, past or present history of mental disability, intellectual disability, learning disability, physical disability, genetic information, pregnancy, veteran status, or status as a victim of domestic violence or any other characteristic protected by law.

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