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Data Analyst Jobs in Riverside, NJ (NOW HIRING)

AscellaHealth

Data Analyst - Pharmacy

Berwyn, PA · On-site

Data Analyst - Pharmacy AscellaHealth | Berwyn, PA | Hybrid work schedule (3 days in office) Shape the Future of Healthcare We're seeking a Data Analyst to join our dynamic team at AscellaHealth ...

AscellaHealth

Data Analyst - Pharmacy

Berwyn, PA · Hybrid

Data Analyst - Pharmacy AscellaHealth | Berwyn, PA | Hybrid work schedule (3 days in office) Shape the Future of Healthcare We're seeking a Data Analyst to join our dynamic team at AscellaHealth ...

AscellaHealth

Data Analyst - Pharmacy

Berwyn, PA · Hybrid

Data Analyst - Pharmacy AscellaHealth | Berwyn, PA | Hybrid work schedule (3 days in office) Shape the Future of Healthcare We're seeking a Data Analyst to join our dynamic team at AscellaHealth ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with in-office work required at our Berwyn, PA office location. Envestnet is transforming the way ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with in-office work required at our Berwyn, PA office location. Envestnet is transforming the way ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Description Envestnet is seeking a Data Analyst II to join our Product department. This is a hybrid role, with in-office work required at our Berwyn, PA office location. Envestnet is transforming the ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

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 ...

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. Working closely with the Senior Manager, Data Analytics, this ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

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 ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and ...

Suvoda

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business questions across the organization. Working closely with the Senior Manager, Data Analytics, this ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

The analyst will be responsible for a range of analytical tasks including ownership of enhancing our dashboard suite all the way through advanced analyses (drivers analyses, development of data ...

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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

Data Modeler/Data Analyst

Procom Services

Mount Laurel, NJ

Contractor

Posted 16 days ago

Job description

Company Description

Procom is a leading provider of professional IT services and staffing to businesses and governments in Canada.
With revenues over $500 million, the Branham Group has recognized Procom as the 3rd largest professional services firm in Canada and is now the largest "Canadian-Owned" IT staffing/consulting company.
Procom's areas of staffing expertise include:

Application Development
Project Management
Quality Assurance
Business/Systems Analysis
Datawarehouse & Business Intelligence
Infrastructure & Network Services
Risk Management & Compliance
Business Continuity & Disaster Recovery
Security & Privacy
Specialties

Contract Staffing (Staff Augmentation)
Permanent Placement (Staff Augmentation)
ICAP (Contractor Payroll)
Flextrack (Vendor Management System)

Job Description
Hi,
Hoping all is well. We have a job opportunity for you: TDbank, IT - Data Modeler/Data Analyst /W2 basis + Benefit coverage. And TDBank provides great experience and has great people to work along side.
Hoping you would consider and I'm looking forward to hearing from you. Please check the job description below. And kindly send this info to your friends who would be interested.
 
Thanks much!
=============================================
Job #196345 | US - IT - Data Modeler/Data Analyst| Toronto Dominion Bank
 
6 Month Contract(possible extension up to 2 yrs)
Location: Mount Laurel - will consider 2-3 days a week remote however must be able to come into the office, interviews will be in person so no relocation considered
Manager is seeking a Data Modeler/Data Analytic to join DCTS team.
The Senior Data Analyst will be responsible for extracting, staging, storing, migrating, hashing, and analyzing TD Bank (USA) data across multiple channels and product sets. The successful candidate will develops logical data models, conduct data mining, and integrate/match data across different data sets for analytical purposes, and segmentation methodologies to address a wide array of business issues, objectives and strategies.
Responsibilities:
Develop database models and supporting documentation in order to meet business requirements. Define data requirements and business rules, perform logical and physical data modeling, implement and test database design. Coordinate data models. Dictionaries and other documentation across multiple applications
Job Responsibilities:
SME (Subject Matter Expert) to establish, communicate and execute measurement and analytical strategies for TD Bank (USA). Design model/methodology to integrate raw data across different data sources
Analyze trends & data in both internal and vendor-supplied data to interpret customer relationships and make appropriate recommendations to key stakeholders within the organization.
Support Channels initiatives for TD Bank (USA) with data extraction, migration, storage, integration, and analysis, business cases and providing monthly trended forecast and plan information.
Working with key stakeholders and other members of the Digital Customer Insights team define and manage online customer insights through definition of KPIs, web metrics capabilities and reporting.
Provide value-added data analysis and anticipate the requirements of the Online Channel stakeholders.
Contribute to presentations for senior management that clearly and concisely present findings and recommendations.
Working with other members of the Digital team and tech define and establish standards, processes and policies for an online datamart.
Participate in the education of business partners in the area of data analytics.
Stay abreast of industry trends and innovations and drive new analytics initiatives that contribute to business goals.
Qualifications

MUST HAVES
Experience in developing logical/physical models for operational systems,
Experience in database administration and impact analysis of data structure changes.
5+ years experience in the following
ERWIN
OLTP
SQL or SAS
RUP
Oracle
MS Office Tools
Must have worked with Large Data - ability to create and manipulate Data Models
1 year experience with Hadoop
PGP encryption
Nice to have
Data ware house background

Skills:
Undergraduate university degree in business, statistics or analytically-based discipline, or equivalent experience; having a post graduate degree would be an asset.
Experience working with Data Warehouse environments and applications
Data mining and modeling capabilities with a solid background working with large data sets.
Excellent analytical, organization and presentation skills. A drive to understand the relationships between divergent data metrics.
Experience with cross-channel and data that spans multiple product groups
Experience with data sanitization such as masking, hashing, and obfuscation algorithms
Experience with data extraction, transformation, loading and governance.
Experience with the following software and tools:
Microsoft Office
SAS and SQL
Business Intelligence software such as Tableau, Crystal Reports, Business Objects or Cognos
SQL Server
SAS (PC and Host versions)
Win SQL
Encryption products like WinZIP and PGP
Experience with Web Analytics Applications like Adobe/Omniture, Google Analytics, Coremetrics would be an asset.
Strong online/web/digital experience and knowledge of the latest user trends and behavior.
A strong focus on attention to detail, accuracy and on-time delivery
Ability to work independently as well as a contributing member of the team.
Ability to prioritize competing tasks in a deadline-driven environment.
Strong interpersonal skills.
5-7 years experience required.
Additional Information
All your information will be kept confidential according to EEO guidelines.

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