ZipRecruiter

Log In

1

Data Analyst Jobs in Riverside, NJ (NOW HIRING)

ParetoHealth

Lead Data Analyst

Philadelphia, PA · On-site

As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems. You will lead analyses end-to-end, framing ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts. * Champions the use of data ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The ...

Berkadia

Workforce Data Analyst

Philadelphia, PA · Hybrid

The Workforce Data Analyst will lead business-wide initiatives working with cross-functional teams to develop insights for decision-makers. You'll be a data consultant, and security/privacy advocate.

Vangard, Inc.

Investment Data Analyst

Malvern, PA · On-site

Reviews and performs root cause analysis of data errors and provides short-term and long-term solutions for issues, elevating issues when appropriate. * Provides direct client support to enhance ...

Apex Informatics

Business Data Analyst

Philadelphia, PA · On-site

Job Title- Business Data Analyst Location- Philadelphia, PA (Hybrid) Duration- 06 Months (C2H Position) Visa- USC/GC/EAD Job Details: The Business Data Analyst role on the EIM - Data Warehouse team ...

Berkadia

Workforce Data Analyst

Philadelphia, PA · On-site

The Workforce Data Analyst will lead business-wide initiatives working with cross-functional teams to develop insights for decision-makers. You'll be a data consultant, and security/privacy advocate.

Vanguard Group

Investment Data Analyst

Malvern, PA · On-site

Reviews and performs root cause analysis of data errors and provides short-term and long-term solutions for issues, elevating issues when appropriate. 4. Provides direct client support to enhance ...

asrcfh

Expert Data Analyst

Moorestown, NJ

We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ. Responsibilities: • Develops, inspects, mines, transforms, and models data to raise productivity, improve ...

asrcfh

Expert Data Analyst

Moorestown, NJ · On-site

We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ. Responsibilities: • Develops, inspects, mines, transforms, and models data to raise productivity, improve ...

next page

Showing results 1-20

All JobsData Analyst JobsData Analyst Jobs in Riverside, NJ

Data Analyst information

See Riverside, NJ salary details

$34.3K

$83.5K

$137.4K

How much do data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst in Riverside, NJ is $83,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Riverside, NJ? The most popular types of Data Analyst jobs in Riverside, NJ are:
What job categories do people searching Data Analyst jobs in Riverside, NJ look for? The top searched job categories for Data Analyst jobs in Riverside, NJ are:
What cities near Riverside, NJ are hiring for Data Analyst jobs? Cities near Riverside, NJ with the most Data Analyst job openings:
Data Analyst jobs near you
Lead Data Analyst

Lead Data Analyst

ParetoHealth

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

We're in this for the greater good at ParetoHealth. Our mission is collective greatness, nothing less will do. Our team is a single force united in the drive to transform employee health benefits.
The company was founded in 2011 to help small and medium-sized businesses fight the rising cost of employee health benefits. We blazed the trail with financing innovations that reduce the risks in self-insurance and deliver significant savings-and we continue to lead with a growing ecosystem of partners and world-class cost control solutions.
But success is measured by more than dollars alone and we measure ours by the good that comes from knowing that every client and all their employees can count on effective, affordable healthcare for years to come.
Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future.
About The Team
At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.
Position Summary:
This role is designed for a senior, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.
As a Lead Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems. You will lead analyses end-to-end, framing questions, wrangling and validating data, designing sound analytical approaches, and translating results into clear, actionable insights.
This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic rigor, business judgment, and the ability to turn complex data into decisions. You will report to the VP of Analytics.
Key Responsibilities:
  • Lead End-to-End Analyses
    • Partner with stakeholders to understand business priorities and translate them into analytical approaches
    • Design, test, and refine appropriate methodologies for complex analytical questions
    • Work directly with large, messy healthcare datasets, including medical and pharmacy claims
    • Build and maintain robust SQL queries and analytical datasets
  • Deliver Decision-Ready Insights
    • Develop clear visualizations and summaries that communicate findings to technical and non-technical audiences
    • Translate complex analyses into actionable recommendations
    • Document methodologies, assumptions, and limitations to ensure transparency and repeatability
  • Collaborate Within the Team
    • Work closely with Data Scientists to support exploratory analyses, hypothesis generation, and interpretation of results
    • Partner with Analytics teammates to align definitions, methodologies, and data quality standards
    • Contribute through collaboration and shared problem-solving
  • Drive Business Impact
    • Proactively identify opportunities where analytics can improve business outcomes
    • Support teams across the organization, including underwriting, product, account management, and cost containment

What We're Looking For:
  • A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
  • A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
  • A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
  • A self-starter with a demonstrated track record of owning projects from idea to execution
  • A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
  • A translator who can turn complex analysis into actionable insights and recommendations for the business

Core Qualifications:
  • 8-10+ years' experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
  • Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)
  • Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
  • Expert-level SQL skills, including building, optimizing, and validating complex analytical queries
  • Advanced proficiency in data visualization tools such as Tableau
  • Extensive experience in data cleaning, validation, and exploratory analysis using large, complex datasets
  • Strong understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
  • Strong analytic judgment: knowing which method to use, why, and when
  • Master's degree in a quantitative/analytic field (or equivalent work experience)

Bonus Qualifications:
  • Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)
  • Experience working with data from CRM systems, e.g., Salesforce
  • Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
  • Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR

Perks & Benefits:
  • Fully paid medical, dental, and vision benefits.
  • Flexible PTO
  • 401k company contribution
  • Tuition reimbursement
  • Professional development allowance
  • Transportation allowance and daily parking reimbursement
  • Engaging hybrid work environment

We are guided by our values:
Fire in the belly
The drive to learn, to improve, and to deliver outstanding value every day.
See the field
The ability to see the big picture and prepare to meet tomorrow's needs.
Get it done right
The passion to produce at higher rates and to the highest standards.
For the greater good
A united community creating better health benefit solutions for all.
Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information.
We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.
Disclosures:
ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.
California Applicants: See Pareto's CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, "Pareto") collects and uses personal information submitted by employment applicants.

Apply