Senior Data Analyst, Advanced Analytics

Cityblock Health

Senior Data Analyst transforming data insights for Cityblock Health's analytics team. Collaborating with cross-functional leaders to enhance data-driven strategies and tools.

Posted 7/7/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $117,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, leveraging SQL and BI tools to drive strategic insights. Proficient in applying Generative AI and LLMs to enhance analytics workflows and support decision-making.

Highest-signal resume keywords

SQL ProficiencyData VisualizationGenerative AI ApplicationStatistical Experiment DesignCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingAnalytics Best PracticesA/B TestingMultivariate TestingData AnalysisPerformance Query WritingStatistical AnalysisData-Driven InsightsPrompt Engineering

Soft Skills

CollaborationPresentation SkillsCommunication

Tools & Technologies

BigQueryLookerBI ToolsData Visualization ToolsConversational Analytics Frameworks

Industry Keywords

Data ScienceHealthcare InformaticsStatisticsOperational WorkflowsAnalytics Solutions

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Partner with senior leaders across operations, product, and clinical teams to transform data into strategy and business needs into analytics solutions
Own and grow dbt-based infrastructure to support operational workflows while utilizing development best practices
Design and analyze experiments (A/B and multivariate) to measure effectiveness
Improve attribution logic using best practices in analytics
Build compelling visualizations and dashboards to support decision-making
Collaborate with other data analysts on shared infrastructure and cross-functional deliverables
Leverage Generative AI, Large Language Models (LLMs), and prompt engineering to build conversational analytics tools, automate insights, and enhance natural language data querying capabilities.

Requirements

What you’ll need

Bachelor's degree in data science, healthcare informatics, statistics, or a related field
5+ years of experience using SQL in production environments (BigQuery preferred), with fluency in writing performant, maintainable queries and a strong understanding of data modeling, testing, and analytics best practices
3 years of experience in presenting data-driven analyses, insights, and recommendations to senior executives and large groups
2 years experience supporting teams including designing and analyzing statistically valid experiments
3 years of team-based analytics work experience with cross-functional stakeholders
A high degree of proficiency with at least one BI tool (Looker preferred), including experience with visualization best practices
1+ years of experience applying Generative AI, LLMs, or conversational analytics frameworks to real-world data analysis workflows or unstructured data processing.

Benefits

Comp & perks

health insurance
life insurance
retirement benefits
participation in the company’s equity program
paid time off, including vacation and sick leave