BI (Analytics) Engineer

Candid Health; New York (NY); On-site; USD 135,000 - 180,000; Full time

Benefits offered by this job

Equity options

Sales incentives

Employee benefits

Job summary

Candid Health is seeking an Analytics Engineer to join their team in New York, NY. This position focuses on bridging analytics engineering, business intelligence, and data analysis, playing a crucial role in scaling the data team.

The ideal candidate will possess strong data modeling skills, experience with data warehouses, and a passion for tackling complex data tasks. The estimated salary range is $135,000 to $180,000 annually, reflective of skills and experience, plus equity options.

Qualifications

• 4+ years of experience in Data Science, Data Analytics, or Data Engineering.
• Hands-on experience with data models and data pipelines.
• Strong understanding of SQL in complex environments.

Responsibilities

• Own data modeling and deliver critical reporting and data models.
• Improve and scale data infrastructure for future ML and AI products.
• Ensure tooling and visualization platforms are accurate.

Skills

Data modeling

SQL

Data pipelines

Data analysis

Communication

Google Cloud Platform

Education

Bachelor's degree in Math, Science, Engineering, or Library Science

Tools

Snowflake

BigQuery

Redshift

Metabase

Terraform

Python

DBT

Job description

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 a 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.