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Data Analyst

RADcube - A NLogix Company

Job Location:

Indianapolis, IN - USA

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 7 August 2026 (6 hours ago)

Application Deadline: 4 November 2026

Vacancies: 1 Vacancy

Job Summary

Data Analyst

Hybrid Indianapolis IN

About the Role

We are seeking a Data Analyst with 35 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large complex datasets into clear actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms and with business groups to understand their questions and translate them into reporting dashboards and analysis.

Key Responsibilities

Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making
Build and maintain reports dashboards and visualizations for pharma business stakeholders
Partner directly with business groups to gather requirements clarify data needs and translate them into analysis deliverables
Write and optimize SQL queries against large-scale (Big Data) datasets including data processed through Spark pipelines
Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs
Present findings and recommendations to both technical and non-technical audiences
Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs
Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis

Requirements

Required Qualifications

35 years of data analysis / business intelligence experience specifically within the pharma industry
Working knowledge of Databricks for querying and analyzing data
Familiarity with AWS data services (e.g. S3 Redshift Glue) in an analytics context
Comfortable working with Big Data and datasets processed through Apache Spark
Strong SQL skills; experience with Python for data analysis is a plus
Demonstrated ability to understand pharma business needs and speak to pharma business groups
Strong communication skills with demonstrated ability to present data to business stakeholders
Bachelors degree in a quantitative field (Statistics Data Science Business Analytics or related) or equivalent practical experience

Preferred Qualifications

Experience with BI/visualization tools
Exposure to Delta Lake Snowflake or similar modern data platforms
Prior experience supporting pharma commercial clinical or R&D reporting functions

Required Skills:

Required Qualifications 35 years of data analysis / business intelligence experience specifically within the pharma industry Working knowledge of Databricks for querying and analyzing data Familiarity with AWS data services (e.g. S3 Redshift Glue) in an analytics context Comfortable working with Big Data and datasets processed through Apache Spark Strong SQL skills; experience with Python for data analysis is a plus Demonstrated ability to understand pharma business needs and speak to pharma business groups Strong communication skills with demonstrated ability to present data to business stakeholders Bachelors degree in a quantitative field (Statistics Data Science Business Analytics or related) or equivalent practical experience Preferred Qualifications Experience with BI/visualization tools Exposure to Delta Lake Snowflake or similar modern data platforms Prior experience supporting pharma commercial clinical or R&D reporting functions

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