Senior Data Analyst

Cityblock Health
Hope, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 130K

Job location

Hope, United States of America

Tech stack

Business Analytics Applications
Data analysis
Google BigQuery
Health Informatics
Code Review
Data Presentation
SQL Databases
Unstructured Data
Large Language Models
Prompt Engineering
Generative AI
Looker Analytics

Job description

The analytics team's mission is to empower Cityblock with trustworthy data insights, intuitive and reliable tools, and deep data domain expertise in support of our mission to radically improve the health of marginalized communities at scale. The Senior Data Analyst in this role should have a strong sense of curiosity, a propensity towards action, and a desire to work in agile teams. In this role, you should feel comfortable working with and advising experienced business executives, technical stakeholders, engineers, product managers, and clinical teams. This analyst will act as a technical mentor and leader across the analytics team to assist with code reviews, question design, and stakeholder management.

In this position, you will support leaders to drive clinical and operational analytics and design data models with data engineers. Additionally, you will build new data-based tools to solve complex operational problems, leveraging Generative AI, Large Language Models (LLMs), and conversational analytics to automate insights and enhance natural language data querying capabilities., * 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

Do you have experience in Stakeholder management?, Do you have a Bachelor's degree?, * 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., We take into account an individual's qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company's equity program, paid time off, including vacation and sick leave. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, skillset, and geographic location. The expected salary range for this position is

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Paid time off
  • Life insurance

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