> Markdown version of [/jobs/ext/1082668-data-analyst-ii](https://www.wearedevelopers.com/jobs/ext/1082668-data-analyst-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst II - **Company:** Garner Health - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $131,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Big Data, Information Engineering, Data Visualization, Database Queries, Power BI, Tableau (Software), Snowflake, Data Analytics, Looker Analytics, Data Pipelines - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/f764254e-1935-4bd1-abc3-3b8f6d8d6103 ## About the Role * 3+ years of experience in Data Analytics, Business Intelligence or a similar data-centric role * Proven experience building and maintaining dashboards in tools like Looker, Tableau, Power BI, or similar tools * Strong SQL skills and ability to work with large datasets * Ability to work cross-functionally and translate ambiguous business questions into data-driven solutions * Comfortable working independently and owning reporting projects end to end * Attention to detail with a mindset for automation and scalability * Familiarity with Google Sheets and a strong understanding of its limitations and strengths * Bonus: Experience with dbt, Snowflake, or data engineering workflows * 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 ## Description We are seeking an exceptional Data Analyst to join our Data team, to derive actionable insights across Product, Marketing, Talent, RevOps and other cross-functional teams. This role will report to our Director, Data Science & Analytics. This is a high-impact role that will be instrumental in helping stakeholders gain accurate insights faster, reduce reporting overhead, and build the foundation for long-term data excellence. You will play a key role in defining KPIs that provide strategic alignment for the company and work on exciting projects like population health testing and impact evaluation to drive better long-term health outcomes for the country. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: * Build, own and manage key KPIs and dashboards, ensuring they are accurate, consistent, and governed, including end to end management of the lifecycle of an analytics project * Be a thought partner on how to measure success across all aspects of Garner's products * Create scalable and maintainable data pipelines in collaboration with the data engineering team * Develop a deep understanding of your analytical domain in order to independently drive and produce meaningful insights * Identify gaps in current reporting coverage and proactively develop new dashboards and insights * Maintain, troubleshoot, and continuously improve existing dashboards to meet evolving business needs * Ensure consistent and reliable metrics definitions across teams * Advocate for best practices in data visualization, documentation, and stakeholder communication ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Making Data Warehouses fast. 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