Data Analyst

RADcube; Indianapolis (IN); Hybrid; USD 75,000 - 110,000; Full time

Job summary

RADcube is seeking a Data Analyst in Indianapolis, hybrid role, to turn large pharma datasets into actionable insights. You will collaborate with data engineers to access data from cloud platforms and with business units to translate questions into dashboards and analyses.

The role requires 3–5 years of pharma data analysis, strong SQL, familiarity with Databricks and AWS, and comfort working with Big Data and Spark. A bachelor’s degree is required.

Qualifications

• 3–5 years of data analysis / BI experience in the pharma industry.
• Experience querying and analyzing data with Databricks.
• Familiarity with AWS data services (S3, Redshift, Glue) in analytics context.
• Comfortable with Big Data and Spark pipelines.
• Strong SQL skills; Python a plus.
• Ability to understand pharma business needs and communicate with pharma groups.

Responsibilities

• Analyze large datasets in Databricks and AWS data platforms to answer business questions and support decisions.
• Build and maintain reports, dashboards, and visualizations for pharma stakeholders.
• Collaborate with business groups to gather requirements and translate them into analysis deliverables.
• Write and optimize SQL queries on large-scale datasets; Spark pipelines involvement.
• Perform data validation and quality checks for reporting accuracy.

Skills

Databricks

AWS data services

Big Data / Spark

SQL

Python (nice to have)

Pharma domain knowledge

Communication skills

Bachelor’s degree

Data analysis / BI experience

BI visualization tools

Delta Lake / Snowflake exposure

Education

Bachelor's degree in a quantitative field

Tools

Databricks

AWS (S3, Redshift, Glue)

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

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