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Associate Data Science Analyst Jobs (NOW HIRING)

Kedrion S.p.A.

Sr. AI & Data Science Analyst

Fort Lee, NJ · On-site

$87K - $110K/yr

Job Summary The Senior AI and Data Science Analyst serves as the driver of AI innovation and advanced data science and analytics within the US Commercial organization. This role leads the design ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

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Associate Data Science Analyst information

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$136K

How much do associate data science analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for associate data science 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 is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What cities are hiring for Associate Data Science Analyst jobs? Cities with the most Associate Data Science Analyst job openings:
What are the most commonly searched types of Data Science Analyst jobs? The most popular types of Data Science Analyst jobs are:
What states have the most Associate Data Science Analyst jobs? States with the most job openings for Associate Data Science Analyst jobs include:
Associate Data Science Analyst jobs near you

Sr. AI & Data Science Analyst

Kedrion S.p.A.

Fort Lee, NJ • On-site

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 days ago

Job description

Posting Start Date: 6/1/26
Country/Region: United States
State/Province: New Jersey
Job Location: Fort Lee
Place of Employment: Hybrid
Contract Duration: Permanent
Hiring Pay Range Min: 90000
Hiring Pay Range Max: 140000
Sr. AI & Data Science Analyst
Kedrion Biopharma Inc. is an international company that collects and fractionates blood plasma to produce and distribute plasma-derived therapeutic products for us in treating and preventing serious diseases, disorders and conditions such as Hemophilia, Primary Immune System Deficiencies and Rh-Sensitization.
Job Summary
The Senior AI and Data Science Analyst serves as the driver of AI innovation and advanced data science and analytics within the US Commercial organization.
This role leads the design, development, and deployment of next-generation analytical capabilities that shape business strategy, enhance field execution, and accelerate data-driven decision making
This role focuses on shaping business requirements, defining analytical use cases, and translating data into actionable insights, leveraging AI capabilities and partnering with IT for implementing new analytical solutions.
This analyst will be the primary intelligence partner for the US Rare Disease and IG Selling teams, ensuring field personnel have timely, actionable insights to improve customer engagement, optimize performance, and support growth. The role blends strategic thinking, deep analytical acumen, and hands-on execution-ideal for someone passionate about transforming data into impact.
What you'll do
AI, Automation & Advanced Analytics Leadership
  • Identify, evaluate, and propose AI and advanced analytics use cases to improve forecasting
  • Evaluate, and deploy emerging AI and advanced science methodologies that improve forecasting, targeting, lead generation, call planning, and customer engagement.
  • Build scalable infrastructure and repeatable processes for advanced analytics within rare disease and corporate account functions.
  • Partner with Business Intelligence, IT, and other company functions to align on data strategy and maximize value from enterprise data assets.

Rare Disease & Corporate Accounts Strategic Support
  • Act as the primary analytical advisor to rare disease field teams, national account directors, and corporate account leadership.
  • Design dashboards, KPIs, opportunity analytics, payer/access insights, and account performance reporting.
  • Translate complex trends into clear, actionable recommendations for field teams and leadership.
  • Understand rare disease market nuances-small patient populations, access challenges, prescriber dynamics-and tailor analytical solutions accordingly.

Field Operations Enablement
  • In collaboration with IT, develop intelligent tools and insights that enhance field execution (territory analytics, customer segmentation, target lists, performance drivers).
  • Run deep-dive analyses on pull-through, barriers, referral flows, and account-level dynamics.
  • Lead analytic workstreams during product launches, major business shifts, or organizational changes.

Cross-Functional Collaboration & Influence
  • Collaborate with Sales, Marketing, and Finance to align insights and ensure consistent commercial strategy execution.
  • Communicate findings to senior leadership with clarity and strategic framing.
  • Drive adoption of AI- and analytics-enabled tools by training field teams and stakeholders.

Operational Excellence
  • Own development, maintenance, and enhancement of critical commercial analytics assets in strong collaboration and partnership with IT.
  • Ensure timely delivery of regular and ad-hoc insights.
  • Maintain strong data quality, documentation, and process scalability.

Qualifications and need-to-know
Required
  • Bachelor's degree in quantitative or business field (Statistics, Analytics, Economics, Engineering, Business, etc.).
  • 5+ years of experience in commercial analytics, business intelligence, or related roles within biopharma or healthcare.
  • Proven experience with AI/ML, analytics, advanced modeling, or automation tools.
  • Technical skills: SQL, Python/R, Power BI/Tableau, and familiarity with cloud data environments, experience with AI Platforms.
  • Expertise in synthesizing complex datasets and delivering insights to field teams or commercial leaders.
  • Exceptional communication skills and ability to influence without authority.

Preferred
  • Experience in rare disease analytics, or corporate account strategy.
  • Background supporting field-facing teams (sales, national accounts, payer access).
  • Familiarity with CRM, patient-level datasets, specialty pharmacy networks, and claims analytics.
  • Exposure to generative AI, advanced forecasting, or optimization algorithms.

Employment eligibility verification will be required at the time of hire. This position does not offer visa sponsorship now or in the future.
Kedrion Biopharma Inc. is committed to providing equal employment opportunities to all employees and applicants. We prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all employment terms, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Please note that salary ranges are calculated based off levels of: relevant experience, education, and certifications.
Kedrion Biopharma Inc. offers numerous benefits to our qualifying employees, including:
  • Medical, vision and dental insurance
  • Life and AD&D insurance
  • Paid holidays
  • PTO accrual
  • and much more!

Please let us know if you would like further details regarding the benefits that we offer to our qualifying employees, and we would be glad to provide you with our full benefits guide, as well as answering any questions you may have!
If you require assistance with your employment application or need reasonable accommodations to perform job duties, please contact our Talent Acquisition team at kedtalent@kedrion.com.
Kedrion Biopharma Inc. participates in E-Verify and provides the federal government with Form I-9 information to confirm employment authorization. For more information, please contact the Department of Homeland Security.

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