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Entry Level Data Analysis Jobs in Ridgewood, NJ (NOW HIRING)

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

Pwc

AI & GenAI Data Scientist - Manager

Florham Park, NJ · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

New York, NY · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Robert Half

Accountant - Entry Level

Fairfield, NJ · Remote

$19.79 - $22.91/hr

Review stock movement data and support ongoing inventory control activities across supply chain ... Use Microsoft Excel tools such as VLOOKUPs and PivotTables to organize information, analyze trends ...

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All JobsData Analysis JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Ridgewood, NJ

Entry Level Data Analysis information

See Ridgewood, NJ salary details

$13

$33

$62

How much do entry level data analysis jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data analysis in Ridgewood, NJ is $33.31, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $37.21 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Ridgewood, NJ?

The most popular types of Data Analysis jobs in Ridgewood, NJ are:

What job categories do people searching Entry Level Data Analysis jobs in Ridgewood, NJ look for?

The top searched job categories for Entry Level Data Analysis jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Entry Level Data Analysis jobs?

Cities near Ridgewood, NJ with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,294 per year, or $33.3 per hour.

Health Data Science Consultant- Senior Associate

New York, NY • On-site

Pwc
Finance and Insurance • 10K+ employees
Learn more about Pwcexternal

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

Job description

Industry/Sector

HI X-Sector

Specialism

Benefits

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Health Data Science Consultant- Senior Associate, you will engage with clients to analyze workforce data, identify trends, and develop predictive models that drive strategic decisions and enhance employee performance. Within our Workforce Consulting practice, you will focus on leveraging data and insights to optimize workforce strategies, improve employee engagement, and drive organizational effectiveness. In this role, you will provide actionable recommendations that help clients make informed workforce decisions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality outcomes. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will utilize a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. This position offers a dynamic environment where you can develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Analyzing client workforce data to identify trends and develop predictive models
- Leveraging data insights to provide actionable recommendations for workforce decisions
- Developing and implementing strategies to optimize workforce and enhance employee engagement
- Utilizing analytics software and tools such as Alteryx and Power BI for data visualization and reporting
- Collaborating with clients to understand their human resources needs and deliver tailored solutions
- Applying machine learning techniques to improve data-driven decision-making processes
- Conducting complex data analysis to support organizational development and talent management initiatives
- Building and maintaining client relationships to drive strategic decisions and improve performance
- Guiding teams in the use of emerging technologies and innovative methodologies in workforce analytics
- Interpreting data to inform insights and recommendations for enhancing organizational effectiveness
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Finance, Financial Mathematics/Quantitative Finance, Government/Public Policy, Health Administration/Public Health, Human Resources/Industrial Relations, Mathematics/Statistics, Organizational Management/Behavior, Psychology/Social Psychology, Social Sciences/Humanities, Taxation

- Assessing healthcare claims data, including standard code sets such as ICD, CPT, HCPCS, NDC, and DRG
- Building machine learning models across regression, classification, gradient boosting, and clustering, with disciplined validation practices
- Applying risk adjustment methodologies such as HCC, CDPS, and HHS-HCC, along with medical economics concepts including PMPM, trend, total cost of care, and MLR
- Utilizing advanced data analytics tools like Alteryx and Power BI
- Developing predictive models using machine learning techniques
- Excelling in complex data analysis and data-driven decision making
- Demonstrating proficiency in Python for data analysis
- Navigating ambiguity with critical thinking and problem-solving skills
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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