Analytics Engineer
At a glance
Mid-level Data Analysis & BI role at Candid Health. San Francisco · full-time · $135,000–$180,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Create reporting and analytics models for different business needs, and keep data modeling work operationally reliable
- Expand data infrastructure so it can support planned machine-learning and AI products
- Work with engineers to interpret complex production data and improve how it is collected and analyzed
- Keep data tools and visualizations accurate and ready for use
What you bring
- A bachelor’s degree in a quantitative, scientific, engineering or other data-focused field
- At least four years in data science, analytics or engineering at a startup or established technical organization
- Hands-on work with data models, pipelines and analysis, plus strong SQL skills in complex data environments
- Practical experience with a data warehouse such as Snowflake, BigQuery or Redshift
Who this fits
This role suits a mid-career data professional who can explain complex ideas clearly and work through ambiguous, high-impact problems. It is an on-site position in San Francisco. The stated annual salary range is $135,000 to $180,000.
From the employer
The Role
At Candid Health, we’re searching for an Analytics Engineer to bridge Analytics Engineering, Business Intelligence, and Data Analysis. As a key strategic investment for the company and product, you will be responsible for the data modeling and pipelines that enable our downstream data products. You will work closely with stakeholders across the business and play a foundational role in scaling the data team. Candid Health is positioned to unlock transformative technology for healthcare providers and the BI Engineer will play a critical role in that effort.
What You’ll Do
Own Data Modeling as a Practice: Build and deliver critical reporting, analytics, and data models for varying use cases. You will be the standardbearer for operational excellence in our efforts to extrapolate data for meaningful outcomes
Set the Foundation for Future Data Work: We have ambitious plans to leverage data as a key component to our long term product strategy. This role will improve and scale our data infrastructure, enabling future ML and AI products
Implement New Processes and Systems for Data Collection and Analysis: Deep dive with engineers to understand complex production data. Ensure that tooling and visualization platforms are accurate and available
Who You Are
You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
You have 4+ years of experience working in a Data Science, Data Analytics, or Data Engineering at a high growth startup or scaled technical organization
You have experience working with data models, data pipelines and performing analysis
You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
Enthusiasm for data modeling; hopefully you have opinions on slow changing dimensions
You have a strong understanding of SQL and have used it in complex data environments
You have well-developed opinions on modern data engineering and an ability to bring others up to speed
You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large
You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.
Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT.
Pay Transparency
The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI$130k+
Find me workBy the team behind dataroles.