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Analytics Engineer

Verifiableposted about 2 months ago

Full-time • Mid Level

51-100 employees

About the position

Verifiable is a credentialing and network monitoring platform built to help healthcare organizations optimize operations with error-free, fast verifications and to stay compliant with ease. We are an official Salesforce vendor, winning the 2024 Salesforce Partner Innovation Award. We work with leading healthcare organizations such as Humana Dental, Zelis, Talkspace, Headway, Empower Pharmacy, and many others. You are a knowledgeable and experienced Data Engineer who’s passionate about designing, developing, and implementing automation, monitoring, and maintaining high availability of production and non-production work environments. Or maybe you’re a really experienced data analyst looking for a chance to make the next jump. Either way you’re passionate about establishing a data driven company and comfortable filling multiple roles in a growing startup. We are a fully remote company hiring in the following states: AZ, CA, CO, FL, GA, ID, IL, KY, MD, MI, NJ, NM, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA.

Responsibilities

Data collection: Gathering, cleaning, and categorizing data from various sources
Data analysis: Identifying patterns and trends in data, and performing error analysis
Modeling: Creating algorithms and models to predict trends and behaviors
Data visualization: Creating visual representations of data insights
Communication: Sharing findings with stakeholders and communicating recommendations
Collaboration: Working with other teams to integrate data insights into business strategies

Requirements

5+ Years experience in a highly related role
2+ years of experience in Python
2+ years of experience of SQL
2+ years of experience of DBT
2+ years of experience with data modeling
2+ years of experience of data visualization
Experienced in implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports
Experience training/fine-tuning large data sets
Strong critical thinking skills & attention to details
Strong communication skills
Humble, collaborative, and self-aware
Ability to flex into multiple types of projects depending on team needs