Data Analyst

RADcube - A NLogix Company; Indianapolis (IN); Hybrid; USD 70,000 - 110,000; Full time

Job summary

RADcube - A NLogix Company in Indianapolis, IN is seeking a Data Analyst with 3-5 years of pharma-focused analytics to transform large datasets into actionable insights for business stakeholders. You will collaborate with data engineering to access data from Databricks and AWS platforms, build reports and dashboards, and translate business questions into analytical deliverables.

The role requires strong SQL, proficiency in Python, and the ability to communicate findings to both technical and

Qualifications

• 3-5 years of data analysis / BI experience in the pharma industry
• Proficient in querying with Databricks
• Experience with AWS data services in analytics context
• Familiar with Big Data and Spark pipelines
• Strong SQL and Python for data analysis
• Ability to translate pharma business needs into analyses
• Excellent communication to present data to stakeholders
• Bachelor's degree in a quantitative field or equivalent experience

Responsibilities

• Analyze large datasets in Databricks and AWS to answer business questions
• Build and maintain reports, dashboards, and visualizations for pharma stakeholders
• Collaborate with business groups to gather requirements and translate them into deliverables
• Write and optimize SQL queries against large-scale datasets
• Perform data validation and quality checks for reporting accuracy
• Present findings to technical and non-technical audiences
• Apply pharma domain knowledge to contextualize analysis
• Coordinate with data engineers to flag data gaps or pipeline issues

Skills

Data analysis

SQL

Python

Data visualization

Pharma domain knowledge

Stakeholder communication

Education

Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related)

Tools

Databricks

AWS (S3/Redshift/Glue)

Spark

Delta Lake

BI tools

Snowflake

Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Data Analyst

Hybrid - Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3-5 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

3-5 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

Bachelor's 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