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Commission Biotech Data Analyst Jobs (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Biolog

Data Analyst

Newark, DE · On-site

$26 - $29/hr

... biotech, pharma, food safety, and more. With three specialized sites across California and Delaware ... The Role We are seeking a detail-oriented and analytical Data Analyst to join our laboratory ...

Biolog

Data Analyst

Newark, DE · On-site

$26 - $29/hr

... biotech, pharma, food safety, and more. With three specialized sites across California and Delaware ... The Role We are seeking a detail-oriented and analytical Data Analyst to join our laboratory ...

Baird

Commissions Data Analyst

Milwaukee, WI · On-site

Receive and analyze commission files from multiple internal and third-party sources, each with distinct data structures and processing requirements * Process and validate commission data to ensure ...

Natera

OR · On-site

$114K - $137K/yr

... biotech data ecosystems to design, build, and maintain data products supporting patient, provider, insurance, billing, and customer support operations. This role will partner closely with analytics ...

Redolent, Inc

Data Analyst

San Bruno, CA

Data Analyst LOCATION: San Bruno- CA Duration: 6 Months Rate: DOE Description: Description: Job ... Marketplace commission engine to drive business growth and develop different metrics around ...

Orion Innovation

Data Analyst

Lawrence, NJ · On-site

... biotech industry • Proven track record managing complex, multi-workstream programs in a senior ... Research, Analytical/QC, QA, Engineering, Manufacturing, Regulatory, IT etc.) is desired. - Ability ...

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Commission Biotech Data Analyst information

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$34K

$82.6K

$136K

How much do commission biotech data analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for commission biotech data analyst 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 jobs can I get after an MSC in biotechnology?

An MSC in biotechnology qualifies you for roles such as biotech data analyst, research scientist, laboratory technician, quality control analyst, or regulatory affairs specialist. These positions often require skills in data analysis, laboratory techniques, and familiarity with biotech tools and regulations.

What is the highest paying biotech job?

In biotech, senior roles such as Biotech Director, Vice President of Research, or Chief Scientific Officer tend to be the highest paying positions, often earning six-figure salaries. These roles typically require extensive experience, advanced degrees, and leadership skills, and may involve overseeing research, development, or strategic planning within biotech companies.

What is the difference between Commission Biotech Data Analyst vs Clinical Data Analyst?

AspectCommission Biotech Data AnalystClinical Data Analyst
Required CredentialsBachelor's in Biology, Biotech, or related field; experience with biotech dataBachelor's in Life Sciences, Healthcare, or related; knowledge of clinical trial data
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsHospitals, clinical research organizations, healthcare settings
Employer & Industry UsageBiotech and pharmaceutical industriesHealthcare providers, clinical research organizations
Common Search & ComparisonYesYes

The Commission Biotech Data Analyst and Clinical Data Analyst roles share similarities in data analysis skills and industry usage. However, the biotech analyst focuses on biotech and pharmaceutical data, often in research and development settings, while the clinical analyst specializes in clinical trial data within healthcare environments. Both roles require relevant degrees and analytical tools, but their specific focus and work environments differ.

Is a data analyst in demand?

Data analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in data visualization, statistical analysis, and tools like Excel, SQL, and Python enhance employability in this field.

Is the biotech job market recovering?

The biotech job market, including roles like Commission Biotech Data Analysts, has shown signs of recovery with increased hiring in research, data analysis, and development sectors. Growth is driven by advancements in biotechnology, increased funding, and demand for data-driven decision making, though regional and sector variations exist.
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What job categories do people searching Commission Biotech Data Analyst jobs look for? The top searched job categories for Commission Biotech Data Analyst jobs are:
Commission Biotech Data Analyst jobs near you
Infographic showing various Commission Biotech Data Analyst job openings in the United States as of June 2026, with employment types broken down into 35% Full Time, 52% Part Time, and 13% 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.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Posted 28 days ago

Key responsibilities

  • Design, build, and maintain scalable data pipelines using Azure Databricks to support analytics, machine learning, and operational use cases.

  • Lead data engineering initiatives and architect integration frameworks across Adtech and Martech ecosystems, including Google Analytics and third-party marketing APIs.

  • Implement and enforce data governance, security, and compliance standards while collaborating with internal stakeholders and external partners.

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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