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Data Analyst Pharmaceutical Jobs (NOW HIRING)

Julius 2 Grow

US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a ...

Aston Carter

Data Analyst

Newburyport, MA · On-site

$30 - $40/hr

Digital Platform Specialist (Data Analyst) The Digital Platform Specialist (Data Analyst) serves as ... Understanding of the chemicals, life science, or pharmaceutical sectors and their digital commerce ...

Loopback Analytics

RWD Data Analyst

Dallas, TX · On-site

... pharmaceuticals, medical device, and regulatory functions. Key Responsibilities: Data Analysis ... Solution Development * Analyze Loopbacks large-scale healthcare data warehouse (claims, EHR ...

Inficare Technologies

Data Analyst

Data Analyst Location: Remote Duration: Long term About the Role: As a Data Analyst, you will ... Experience with pharmaceutical equipment management is a huge plus Bachelor's degree highly ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Should Have: * Knowledge of healthcare, pharmaceutical, pricing transparency, or regulatory ... Data governance and compliance. * Data analysis and trend analysis. * Data visualization.

LivaNova

Data Analyst

Austin, TX · On-site

$70K - $100K/yr

Minimum Requirements * 0-3 years of professional experience in a comparable role supporting data analytics, preferably within a medical device, pharmaceutical company, or CRO. * Bachelor's degree ...

LivaNova

Data Analyst

Houston, TX · On-site

$70K - $100K/yr

Minimum Requirements * 0-3 years of professional experience in a comparable role supporting data analytics, preferably within a medical device, pharmaceutical company, or CRO. * Bachelor's degree ...

LivaNova, PLC

Data Analyst

Chicago, IL · On-site

$70K - $100K/yr

Minimum Requirements * 0-3 years of professional experience in a comparable role supporting data analytics, preferably within a medical device, pharmaceutical company, or CRO. * Bachelor's degree ...

Panelmatic

Data Analyst

Houston, TX

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Panelmatic

Data Analyst

Houston, TX · On-site

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Panelmatic

Data Analyst

Houston, TX · On-site

... pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... and pharmaceutical data is strongly preferred: claims, patient-level, referral, Salesforce notes, syndicated, promotional, market research, web visit, and email data Analytical Thinking • ...

Fine Fettle

Data Analyst

Hartford, CT

The Data Analyst will own production reporting, demand planning analytics, KPI dashboards, and ... Experience in cannabis, agriculture, CPG, pharmaceutical, or another regulated manufacturing ...

HonorVet Technologies

Sr. Data Analyst

Lake Zurich, IL · On-site

$87K - $110K/yr

The Sr. Data Analyst plays a critical role in ensuring the accuracy, consistency, and integrity of customer master data across SAP and related platforms for both medical device and pharmaceutical ...

1872 Consulting

SQL Data Analyst

Carnegie, PA · On-site

RareMed Solutions is the ideal partner for biotech firms and pharmaceutical manufacturers due to our custom solutions that are unique to each of our partner's needs. A SQL Data Analyst at RareMed ...

Leiters Inc

Commercial Data Analyst

Englewood, CO · On-site

$73K - $90K/yr

The Commercial Data Analyst position reports to the Director of Commercial Operations and Customer ... At Leiters Health, we're not just another pharmaceutical company - we're pioneers in the field ...

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All JobsData Analyst Pharmaceutical Jobs

Data Analyst Pharmaceutical information

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$34K

$82.6K

$136K

How much do data analyst pharmaceutical jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data analyst pharmaceutical in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a pharmacy data analyst do?

A pharmacy data analyst collects, analyzes, and interprets healthcare and pharmacy data to improve medication management, patient outcomes, and operational efficiency. They use tools like SQL, Excel, and data visualization software to identify trends and support decision-making in pharmaceutical settings.

What does a Data Analyst do in the pharmaceutical industry?

A Data Analyst in the pharmaceutical industry is responsible for collecting, processing, and interpreting large sets of data related to drug development, clinical trials, and market trends. They help ensure that data from experiments and studies is accurate and meaningful, providing insights that support decision-making for research, regulatory submissions, and business strategies. These analysts often work closely with scientists, clinical teams, and regulatory professionals to ensure data integrity and compliance with industry standards.

What are the key skills and qualifications needed to thrive as a Data Analyst in the pharmaceutical industry, and why are they important?

To thrive as a Data Analyst in the pharmaceutical industry, you need strong analytical skills, a solid understanding of statistics, and a relevant degree in fields like data science, life sciences, or biostatistics. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as knowledge of regulatory compliance systems (e.g., GxP), is commonly required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting complex data and conveying insights to cross-functional teams. These skills ensure accurate data-driven decision-making, regulatory adherence, and impactful support for research and business objectives.

What is the difference between Data Analyst Pharmaceutical vs Data Scientist Pharmaceutical?

AspectData Analyst PharmaceuticalData Scientist Pharmaceutical
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis teams, clinical research, manufacturingAdvanced analytics, predictive modeling, R&D
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare providersPharmaceutical R&D, biotech innovation, clinical trials

While both roles involve working with data in the pharmaceutical industry, Data Analysts focus on interpreting existing data sets to support business decisions, whereas Data Scientists develop complex models and algorithms to predict trends and innovate processes. The roles often overlap but differ in scope and technical depth.

What is the role of a pharmaceutical data analyst?

A pharmaceutical data analyst collects, analyzes, and interprets data related to drug development, clinical trials, and market performance. They use statistical tools and software to identify trends, support decision-making, and ensure data accuracy in a regulated environment.

Is 40 too late for data science?

For a Data Analyst in the pharmaceutical industry, starting a career in data science at age 40 is feasible, especially with relevant skills in statistics, programming, and tools like SQL or Python. Many professionals transition into data science later in their careers, and experience in healthcare or pharmaceuticals can be an asset. Continuous learning and certifications can help accelerate entry into the field regardless of age.

Do pharmaceutical companies need data analysts?

Yes, pharmaceutical companies rely on data analysts to interpret clinical trial data, optimize manufacturing processes, and support regulatory submissions. Data analysts in this field often use tools like SQL, Excel, and statistical software to ensure data accuracy and compliance with industry standards.

How does a Data Analyst in the pharmaceutical industry typically collaborate with cross-functional teams?

Data Analysts in the pharmaceutical sector often work closely with clinical researchers, regulatory teams, and biostatisticians to ensure data integrity and compliance throughout drug development processes. They provide data-driven insights that inform trial design, monitor ongoing studies, and support regulatory submissions. Effective communication and teamwork are essential, as Data Analysts must translate complex data findings into actionable recommendations for various stakeholders. This collaborative environment helps ensure that projects meet both scientific and business objectives while adhering to industry regulations.
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What job categories do people searching Data Analyst Pharmaceutical jobs look for? The top searched job categories for Data Analyst Pharmaceutical jobs are:
Data Analyst Pharmaceutical jobs near you
Infographic showing various Data Analyst Pharmaceutical job openings in the United States as of June 2026, with employment types broken down into 68% Full Time, 6% Part Time, and 26% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 15 days ago

Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities

  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications

  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications

  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies

  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach