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Remote Pharma Data Analyst Jobs in Chicago, IL (NOW HIRING)

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · Remote

$108K - $147K/yr

Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements. * Design and implement data pipelines for AI/ML and Generative AI workloads, including ...

Tiger Analytics Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements. * Design and implement data pipelines for AI/ML and Generative AI workloads, including ...

Easy Recruiter

Remote Data Analyst

Chicago, IL · Remote

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · Remote

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Arsenault Inc

Data Analyst

Chicago, IL · Remote

Remote Duration: 6 months (can extend) Hours per week: 40 Pay: 45/hr Arsenault is seeking a ... Capacity Planners scope, analyze and forecast the infrastructure demand that powers our diverse set ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

YO AI Labs

Data Privacy Analyst - Remote

Chicago, IL · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Tempus

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

Unlock Health

Creative Data Analyst

Chicago, IL · On-site +1

Who You Are You are a curious, analytical thinker who believes data isn't just a collection of ... Hybrid and Remote work schedules available * Employee Assistance Program (unlimited free telephonic ...

World's Finest Chocolate

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/hr

POSITION OVERVIEW World's Finest Chocolate is seeking a Sales Data Analyst to support our North ... Vice President of Strategy LOCATION This is a remote role. Travel to World's Finest Chocolate ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

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All JobsPharma Data Analyst JobsRemote Pharma Data Analyst JobsRemote Pharma Data Analyst Jobs in Chicago, IL

Remote Pharma Data Analyst information

See Chicago, IL salary details

$35K

$85.1K

$140.1K

How much do remote pharma data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote pharma data analyst in Chicago, IL is $85,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What does a remote pharma data analyst do?

A Remote Pharma Data Analyst is responsible for collecting, analyzing, and interpreting data related to pharmaceutical products, clinical trials, and market trends from a remote location. They use statistical tools and software to identify patterns, support research, and help pharmaceutical companies make data-driven decisions. Their work often involves collaborating with cross-functional teams, preparing reports, and ensuring data accuracy and compliance with industry regulations.

What are the key skills and qualifications needed to thrive as a remote pharma data analyst?

To thrive as a Remote Pharma Data Analyst, you need strong analytical skills, a background in life sciences or statistics, and proficiency in data management, often supported by a relevant degree. Familiarity with data analysis tools like SAS, R, Python, and pharmaceutical databases, along with certifications such as SAS Certified Specialist, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating remotely. These skills ensure accurate data insights, regulatory compliance, and effective support for decision-making in pharmaceutical research and business operations.

How do remote pharma data analysts effectively collaborate with cross-functional teams despite working offsite?

Remote Pharma Data Analysts frequently collaborate with clinical researchers, regulatory teams, and IT professionals using digital communication tools like video conferencing, shared dashboards, and project management software. Regular virtual meetings and clear documentation help ensure everyone stays aligned on project goals and timelines. Building strong working relationships remotely often requires proactive communication and the ability to explain complex data findings in a clear, actionable way. This collaborative approach not only enhances data accuracy but also supports faster decision-making in pharmaceutical projects.

What is the difference between Remote Pharma Data Analyst vs Remote Clinical Data Coordinator?

AspectRemote Pharma Data AnalystRemote Clinical Data Coordinator
Required CredentialsBachelor's in Life Sciences, Data Analysis certificationsBachelor's in Health Sciences, Data Management certifications
Work EnvironmentPharmaceutical companies, CROs, biotech firmsClinical trial sites, CROs, pharmaceutical companies
Employer & Industry UsageData analysis, reporting, drug developmentData collection, database management, trial coordination
Common Search & Comparison IntentUnderstanding roles in pharma data analysisClarifying clinical data management tasks

The Remote Pharma Data Analyst primarily focuses on analyzing and interpreting pharmaceutical data to support drug development and regulatory submissions. In contrast, the Remote Clinical Data Coordinator manages and maintains clinical trial data, ensuring accuracy and compliance. Both roles require strong data management skills and industry knowledge but differ in their specific responsibilities within the pharmaceutical and clinical research sectors.

What are the most commonly searched types of Pharma Data Analyst jobs in Chicago, IL?

The most popular types of Pharma Data Analyst jobs in Chicago, IL are:

What are popular job titles related to Remote Pharma Data Analyst jobs in Chicago, IL?

For Remote Pharma Data Analyst jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Pharma Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Remote Pharma Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Pharma Data Analyst jobs?

Cities near Chicago, IL with the most Remote Pharma Data Analyst job openings:

Remote Pharma Data Analyst jobs near you
Infographic showing various Remote Pharma Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 56% Full Time, 17% Part Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,131 per year, or $40.9 per hour.

Senior Data Engineer

Tiger Analytics Inc.

Chicago, IL • Remote

$108K - $147K/yr

Full-time

Posted 15 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

  • Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies.
  • Build and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.
  • Develop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation.
  • Integrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.
  • Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements.
  • Design and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.
  • Enable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions.
  • Support migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, reliability, and cost-effectiveness.
  • Ensure data pipelines meet required standards for data quality, accuracy, consistency, and operational reliability.
  • Communicate effectively with technical and business stakeholders to understand requirements and translate pharmaceutical business needs into scalable data solutions.

Required Skills:

  • 8+ years of experience in Data Engineering, preferably with experience supporting commercial pharmaceutical/healthcare data environments.
  • Strong hands-on experience with AWS cloud, Databricks, Spark, and SQL
  • Strong experience building ETL/ELT data pipelines and large-scale data processing workflows.
  • Hands-on experience with Apache Airflow for workflow orchestration.
  • Strong understanding of data modeling, data lake/lakehouse architecture, data ingestion, and transformation frameworks.
  • Deep knowledge of commercial pharmaceutical data sources: Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and other commercial pharma data sources
  • Strong understanding of pharmaceutical commercial data processes, including: Alignment, Allocation, Split credits, Market basket, Customer universe
  • Strong understanding of pharma KPIs, metrics, and commercial analytics.
  • Strong analytical, problem-solving, and data troubleshooting skills.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.