Junior Analytics Engineer

Chemistry Rx Compounding and Specialty Pharmacy

United States

On-site

USD 60,000 - 80,000

Full time

14 days+
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Job summary

A leading specialty pharmacy in the United States is seeking a Junior Analytics Engineer to transform raw data into structured datasets that drive decision-making. Responsibilities include designing data models, building dashboards in Power BI, and collaborating with business stakeholders. The ideal candidate has strong SQL skills and a Bachelor's degree. This full-time position offers the opportunity to work closely with a dynamic data team.

Qualifications

  • Strong proficiency in SQL with the ability to write clean and scalable queries for transforming data.
  • Understanding of data modeling principles for analytics.
  • Prior experience in a data-related role.

Responsibilities

  • Transform raw data into clean, structured datasets using SQL.
  • Design data models to support reporting and analytics.
  • Build and maintain Power BI dashboards.
  • Collaborate with data engineers and business stakeholders to understand data needs.

Skills

SQL proficiency
Data modeling understanding
Communication skills
Collaboration
Attention to detail

Education

Bachelor’s degree or equivalent practical experience

Tools

Power BI
Python
Git

Job description

About the Role

Chemistry Rx is seeking a Junior Analytics Engineer to join our data team. In this role, you’ll help transform raw data into clean, structured datasets that drive decision‑making across the organization. This role reports to the Senior Data Engineer and works closely with them to develop data models, build dashboards, and contribute to our analytics codebase.

Responsibilities
  • Transform raw data into clean, structured datasets using SQL.
  • Design data models to support reporting and analytics.
  • Build and maintain Power BI dashboards.
  • Assist the engineering team with pipeline maintenance, troubleshooting, and refactoring initiatives.
  • Collaborate with data engineers and business stakeholders to understand data needs.
  • Perform data cleansing and standardization to ensure accuracy and usability of datasets.
  • Support ad hoc analysis to help business leaders answer key operational questions.
  • Contribute production‑quality analytics code that follows version control and software‑development best practices.
  • Follow company data protocols and HIPAA requirements.
Required Qualifications
  • Strong proficiency in SQL with the ability to write clean and scalable queries for transforming data.
  • Understanding of data modeling principles for analytics.
  • Prior experience in a data‑related role.
  • Comfortable reasoning through data transformation logic independently.
Preferred Qualifications
  • Familiarity with Power BI for dashboard development.
  • Experience with Python, especially for data transformation. Familiarity with the Polars library is a plus.
  • Experience using Git.
  • Familiarity with modern data stack components and cloud platforms.
  • Exposure to working with HIPAA‑regulated data.
  • 2+ years of professional experience.
  • Prior experience as a Data Analyst is a plus.
Soft Skills
  • Strong communication skills, with the ability to explain complex concepts clearly.
  • Collaborative mindset and eagerness to partner closely with data engineers and business teams.
  • Curious and proactive learner who asks thoughtful questions and seeks solutions.
  • High attention to detail, especially when developing production‑ready analytics code and working with critical data.
  • Interest in learning new tools and technologies.
  • Comfortable adapting to a fast‑paced environment.
Education
  • Bachelor’s degree or equivalent practical experience.
AAP/EEO STATEMENT

The pharmacy provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law.

Seniority level

Entry level

Employment type

Full‑time

Job function

Information Technology

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