Support Research and Development team by developing interactive dashboards
Manage and optimize data pipelines, enhancing applications, and delivering insights
Collaborate with partners to automate processes
Conduct testing to improve reporting effectiveness
Advance data literacy through training and best-practice sharing
Pull and clean data from Snowflake and Databricks
Optimize interactive dashboards using Power BI, Palantir
Lead A/B testing projects
Create applications and automated solutions
Perform data cleaning, manipulation, and automation

Requirements

Bachelor’s degree in data science, statistics, computer science, or a related field
Three or more years of experience in data analysis or data engineering within consumer products or pharmaceutical industries
Experience in dashboard creation, data cleaning, manipulation, and automation focused on delivering insights to teams
Expertise with a programming language such as R, Python, or JavaScript for data manipulation and automation
Proficiency with business intelligence and visualization tools such as Power BI, Tableau, R Shiny, or Python Dash
Independent learner who can translate customer requirements into technical solutions.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata engineeringdata cleaningdata manipulationautomationdashboard creationprogramming languageRPythonJavaScript

Soft Skills

collaborationindependent learnercommunicationtrainingbest-practice sharing

Certifications

Bachelor’s degree in data scienceBachelor’s degree in statisticsBachelor’s degree in computer science