drjobs Data Analytics Engineer

Data Analytics Engineer

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1 Vacancy
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Job Location drjobs

Nashville - USA

Monthly Salary drjobs

$ 120 - 150

Vacancy

1 Vacancy

Job Description

At Clover the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications manage complex data ecosystems and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do whats right for Clover.

We are seeking an experienced Data Analytics Engineer to join our team. The ideal candidate will have a strong technical background in data management analysis and visualization within the healthcare sector with a particular focus on Medicare Advantage and in-home care services. You will be responsible for building optimizing and maintaining data pipelines performing data investigations and providing insights that empower strategic decision-making across the organization.

Our primary technologies include SQL Python BI Platforms (e.g. Tableau Mode Analytics etc) and Snowflake. You will collaborate with data analysts engineers and healthcare professionals to build tools that improve real peoples health. This role requires extensive experience supporting data warehousing projects and advanced knowledge in data cleansing ETL data visualization and data governance.

As a Data Analytics Engineer you will:

  • Data Engineering & Management: Design build and optimize data pipelines within the reporting layer to process and transform large datasets from multiple sources using DBT Snowflake SQL and other relevant technologies.
  • ETL Processes: Develop and maintain ETL workflows ensuring data is accurately processed cleaned and integrated into our systems with a focus on best practices.
  • Data Investigation & Analysis: Work closely with business stakeholders to understand their data needs conduct root-cause analysis and provide data-driven solutions. Investigate anomalies in data to ensure high data quality and integrity.
  • Reporting & Data Visualization: Create interactive dashboards and reports using BI tools (e.g. Mode Analytics Tableau) to visualize key metrics and trends. Ensure data is presented in a clear actionable format for non-technical stakeholders.
  • DBT Cloud/Core: Implement and maintain data transformation models using DBT (Data Build Tool) framework ensuring efficient and scalable transformation pipelines.
  • Collaboration & Cross-functional Support: Collaborate with business teams data scientists and IT departments to ensure data solutions meet organizational needs.
  • Medicare Advantage Focus: Leverage your understanding of managed care particularly Medicare Advantage plans to generate insights into cost management member health outcomes utilization and more.

Success in this role looks like:

  • In the first 90 days:
    • Develop a strong understanding of our existing data ecosystem and pipelines.
    • Build relationships with various stakeholders to understand their day-to-day operations and data needs.
    • Contribute to the design and implementation of new ETL programs to support business growth and operational efficiency.
    • Perform root cause analysis for identified issues and propose solutions for both short-term fixes and long-term improvements to enhance the stability and accuracy of our pipelines.
    • Provide support in generating ad-hoc reporting insights and maintaining established dashboards.
  • In the first 6 months:
    • Provide feedback and propose process improvements for data analytics/engineering operations.
    • Work with platform engineers by monitoring identifying and escalating data integrity issues
    • Provide stakeholders with accurate and insightful reporting that solves their business problems through ad hoc reporting and in-depth dashboards.
    • Lead discussions with key stakeholders and propose design and implement new data engineering and analytics projects that solve critical business problems.
  • Long-term success:
    • Enhance and maintain ETL programs and data assets.
    • Serve as the technical lead for the data engineering squads day-to-day operations.
    • Build complex dashboards and ad hoc reporting that span across and connect multiple areas of business.
    • Ensure the accuracy completeness and audit-readiness of data used for government regulated reporting.
    • Mentor and guide junior team members.

You should get in touch if:

  • You have a Bachelors degree in Computer Science Information Systems or a related field and 5 years of experience in ETL programming or Data Analytics.
  • You have professional experience in a healthcare setting (Health Plan knowledge is highly desired; Medicare experience is preferred).
  • You have expertise in most of the following technologies:
    • Snowflake
    • PostgreSQL
    • DBT
    • Python
    • GCP / AWS / BigQuery
    • Data Governance best practices
  • You have expertise with analytics data science and BI collaboration tools (e.g. Tableau Mode Looker).

Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally we offer a performance-based bonus program 401k matching and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical dental and vision coverage. Your health matters to us and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this we offer initiatives such as No-Meeting Fridays monthly company holidays access to mental health resources and a generous flexible time-off policy. Additionally we embrace a remote-first culture that supports collaboration and flexibility allowing our team members to thrive from any location.
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs mentorship professional development funding and regular performance feedback and reviews.

Additional Perks:

  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken so weve created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise working together to solve the most complicated problem in the world: healthcare.

From Clovers inception Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths experiences perspectives opinions and backgrounds who share a passion for improving peoples lives. Diversity not only includes race and gender identity but also age disability status veteran status sexual orientation religion and many other parts of ones identity. All of our employees points of view are key to our success and inclusion is everyones responsibility.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records. We are anE-Verify company.

A reasonable estimate of the base salary range for this role is $120k to $150k. Final pay is based on several factors including but not limited to internal equity market data and the applicants education work experience certifications etc.

Employment Type

Full Time

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