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Data Associate Jobs in New Jersey (NOW HIRING)

Conner Strong & Buckelew

Data Associate

Camden, NJ · On-site

$80K - $100K/yr

Understand the data (including source, meaning, and application), the reporting system capabilities, and can use this knowledge to communicate effectively to with internal team and clients, as ...

Conner Strong & Buckelew

Data Associate

Camden, NJ · On-site

$80K - $100K/yr

Understand the data (including source, meaning, and application), the reporting system capabilities, and can use this knowledge to communicate effectively to with internal team and clients, as ...

LHH US

Data Entry Associate

Cranbury, NJ

$25 - $30/hr

Temporary Administrative / Data Entry Associate (4-Month Contract) Location: Cranbury, NJ Compensation: $25.00 - $30.00 per hour We are partnering with a growing organization in Cranbury, NJ to hire ...

Merican

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment Work Type:Hybrid * We are seeking a hands-on Associate Data Engineer with strong programming skills ...

COPS Monitoring

DATA ENTRY ASSOCIATE

Williamstown, NJ · On-site

$15.75 - $20.50/hr

Report To Work, Entry Level, Data Entry Representative Are you a Southern New Jersey resident that is tired of working from home and is ready to get back to the office? If so, keep reading because ...

Pwc

Data Engineer - Senior Associate

Florham Park, NJ

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

ZS

Data Strategy Associate Consultant

Princeton, NJ · On-site

The Data Strategy Associate Consultant will be located close to one of our East Coast U.S. offices and will help deliver world-class solutions that shape and execute enterprise data strategies ...

AIG

Data Engineering Senior Associate

Jersey City, NJ · On-site

AIG is a global leader in commercial and personal insurance solutions, seeking a Data Engineering Senior Associate to contribute to their technology-driven approach to risk management. The role ...

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All JobsData Associate JobsData Associate Jobs in New Jersey

Data Associate information

See New Jersey salary details

$14

$33

$57

How much do data associate jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data associate in New Jersey is $33.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.90 and $39.76 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

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 are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

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 New Jersey? The most popular types of Data jobs in New Jersey are:
What are popular job titles related to Data Associate jobs in New Jersey? For Data Associate jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in New Jersey look for? The top searched job categories for Data Associate jobs in New Jersey are:
What cities in New Jersey are hiring for Data Associate jobs? Cities in New Jersey with the most Data Associate job openings:
Data Associate jobs near you
Infographic showing various Data Associate job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $69,843 per year, or $33.6 per hour.

Data Associate

Conner Strong & Buckelew

Camden, NJ • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago

Job description

Department: Employee Benefits
Principal Responsibilities
  • Collaborate with cross-functional teams, managing analytical projects, and ensuring the delivery of accurate and relevant analyses to support client's organizational goals.
  • Oversees the analysis of large and complex datasets stored in the data warehouse.
  • Develop, extract and replicate insights and trends gained from large and complex of healthcare data available (medical claims, drug claims, disability, etc.) to promote population health decision making and strategy.
  • Understand the data (including source, meaning, and application), the reporting system capabilities, and can use this knowledge to communicate effectively to with internal team and clients, as appropriate.
  • Ensures data quality and integrity in analytical outputs.
  • Leverage advanced reporting server(s), and work with the identified scope to develop, and maintain enhanced reporting and dashboards for the client(s) to guide direction and best practices for application of the data.
  • Perform financial analysis for all coverages, examining both overall cost and benefit structures, various plan design and contribution modeling on both fully insured and self-funded accounts.
  • Knowledge of the carrier claims reporting process as it relates to content and accuracy.
  • Ability to manage both internal and external client deadlines.
  • Ability to develop custom financial modelling at the client's request and/or the ability to incorporate a "non-standard" request using our existing tools
  • Attend client meetings/conference calls as needed
  • Remain current on industry trends and information, new product information, legislation, regulatory requirements, coverage's, compliance and technology; communicate changes and address issues with clients on a proactive basis.
Requirements
  • Bachelor's degree in Economics, Data Science, Analytics, Statistics, Health Informatics, Computer Science or related field preferred
  • Minimum 5 plus years of experience working in the health data analytics field; preferably in a data analytics role at a consultancy or brokerage
  • Strong working knowledge of healthcare analytic methodologies, healthcare payer challenges, solutions, strategies and key performance indicators
  • Experience using healthcare data analytics tools such as Springbuk, Artemis, Merative, Cedar Gate, Milliman, HDMS or other similar tools
  • Comfortable leveraging Tableau and SQL
  • Strong written and verbal communication skills, presentation skills, critical thinking and problem solving skills.
  • Ability to make verbal in person presentations to internal staff and prospects/clients.
  • Ability to work independently on projects and in a consultative team environment.
  • Proficiency in the Microsoft Office products including PowerPoint, Access and Word.
    Working Conditions
    Office environment with moderate noise level; able to work flexible hours and travel to other Conner Strong offices and Client work sites as needed.
    Compensation:
    Salary for this position ranges from $80,000.00 - $100,000.00. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.
    Qualifying positions will also be eligible for comprehensive benefits, such as participation in family medical and dental insurance programs, 401K plan, and PTO.

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Must be authorized to work in the United States on a full-time basis without Company sponsorship.
Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity or expression, national origin, ancestry, nationality, age, disability (physical or mental), marital or domestic partnership or Civil Union status, pregnancy, family medical history or genetic information, atypical cellular or blood trait, military service or any other status protected by law.

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