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Data Associate Jobs in Wayne, NJ (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

BNY

Associate, Data Governance

New York, NY · On-site

$52K - $70K/yr

Associate, Data Governance At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global ...

Galaxy

Data Center Risk Associate

New York, NY

The Risk Associate will play a key role in coordinating across data center disciplines to identify, assess, report, and mitigate risks across the full lifecycle of data center assets. This role ...

New York Life

Associate - Data Scientist

Manhattan, NY

$81K - $115K/yr

Hybrid - 3 days per week As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's digital transformation by developing and deploying AI and machine ...

New York Life

Associate - Data Scientist

Manhattan, NY

$81K - $115K/yr

You will collaborate closely with Data Scientists, Engineers, and product and technology partners while developing an understanding of model lifecycle management, responsible AI principles, and New ...

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Showing results 21-40

All JobsData Associate JobsData Associate Jobs in Wayne, NJ

Data Associate information

See Wayne, NJ salary details

$14

$32

$55

How much do data associate jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data associate in Wayne, NJ is $32.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $38.85 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What is a data associate?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a data associate?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a data associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Wayne, NJ? The most popular types of Data jobs in Wayne, NJ are:
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What cities near Wayne, NJ are hiring for Data Associate jobs? Cities near Wayne, NJ with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in Wayne, NJ as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 2% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,229 per year, or $32.8 per hour.

Associate Director, Data & Analytics

Grunenthal

Morristown, NJ

$145K - $185K/yr

Full-time

Posted 3 days ago

New

Job description


POSITION: Associate Director, Data & Analytics


The salary range for this position is between $145k and $185k

Actual salary at the time of hire may vary and may be above or below the range based on various factors, including, but not limited to, the candidate's relevant qualifications, skills, and experience. The company also currently offers a Long-Term Incentive Plan (cash plan) of 20% base salary, and annual performance bonus target of 20% base salary (subject to meeting plan requirements).


POSITION SUMMARY

Averitas Pharma is seeking a strategic, insight-driven, and highly hands-on Associate Director of Data & Analytics to transform complex data into clear, actionable business intelligence that drives decision-making across our commercial and medical organizations.


This role is ideal for an analytics leader who can operate comfortably at two levels: diving into the details of complex data sets to answer nuanced business questions and leading high-impact strategic projects that shape the company's future. It will collaborate closely with cross-functional teams, ensuring that analytics are relevant, impactful, and aligned with business objectives, helping stakeholders understand not just what the data shows, but why it matters and how it should influence strategy.


KEY RESPONSIBILITIES

  • Analytical Leadership & Insight Generation
    • Serve as the organization's analytics champion, guiding stakeholders to understand not just what the data shows, but why it matters.
    • Hands-on development of predictive models, marketing mix modeling (MMM), and forecasting to support brand and commercial strategy.
    • Provide strategic insights on brand performance, marketing effectiveness, and business drivers
    • Develop and deliver analyses that connect data findings to commercial and medical strategies, influencing both tactical decisions and long-term planning.
    • Present complex analyses in a clear, compelling manner to both technical and non-technical audiences, tailoring communication to the needs of each group.
    • Lead the creation and continuous improvement of dashboards, scorecards, and ad-hoc reports that provide context, highlight drivers, and reveal actionable opportunities.
  • Hands-On Data Analysis & Problem Solving
    • Personally investigate complex, detailed data questions - validating sources, reconciling discrepancies, and ensuring insights are built on accurate, reliable data.
    • Apply advanced analytical tools and methods to uncover patterns, trends, and anomalies that drive deeper understanding.
  • Data Enablement & Governance
    • Oversee the availability, integrity, and usability of data sources, including CRM, patient services hub, distributor and specialty pharmacy data, marketing data, and other commercial or medical data domains.
    • Maintain strong data governance practices and ensure data hygiene in collaboration with internal teams and external partners.
    • Manage vendors and third-party data/analytics providers for key business deliverables.


QUALIFICATIONS, CAREER EXPERIENCE AND SKILLS

A combination of relevant education and applicable job experience will be considered.

  • Qualifications
    • Bachelor's degree required; advanced degree in analytics, statistics, or related field preferred.
  • Career Experience
    • 5+ years in pharmaceutical/biotech analytics or commercial operations
    • Deep understanding of statistical modeling, forecasting techniques, MMM, and A/B testing
    • Strong experience with pharma syndicated data (Specialty pharmacy, claims etc.)
    • Proven ability to manage both detailed analysis and high-level strategic initiatives
  • Skills
    • Proficiency in Python or R, SQL, Excel, and BI tools (Power BI, Tableau, DOMO)
    • Exceptional communication skills and a talent for data storytelling to technical and non-technical audiences


TRAVEL

  • The ability to travel up to 25%, including overnights, as dictated by business need and attend all company sponsored events/meetings/conferences.

ETHICS AND COMPLIANCE

  • Demonstrates the highest levels of ethics, integrity and trust while acting with courage and candor.
  • Maintains high accountability for personal actions and results and has the ability to ensure a high level of commitment to the success of the organization, peers and customers.
  • Operates in compliance with all applicable regulations and professional standards at all times.


VALUES & BEHAVIORS

  • Live Entrepreneurship: Plan for long-term growth and build a future business predicated on innovation
  • Be Patient-Centric: Deliver innovation for patients and challenge themself and others to improve patient outcomes
  • Join Forces: Seek diverse input, collaborate across all functions and leverage resources from global partners
  • Act with Integrity: Apply ethical standards, encourage transparency and embrace diversity and inclusivity
  • Drive Performance: Create an atmosphere that nurtures teamwork in order to enable high performance and sustainable growth


* If you are a California resident applying for the above position, please review our California Applicant Privacy Notice.

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