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

... analysts and sales people, and places significant emphasis and resources on mentoring talent ... Wolfe Research is seeking a motivated and data-driven entry level Assistant to join our Operations ...

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... data analysis or reporting. * Exposure to healthcare, operations, or performance analytics. * Familiarity with KPIs and basic reporting frameworks. What We Offer * Entry-level opportunity with hands ...

... data analysis or reporting. * Exposure to healthcare, operations, or performance analytics. * Familiarity with KPIs and basic reporting frameworks. What We Offer * Entry-level opportunity with hands ...

Healthcare Analyst

Bronx, NY · On-site

$20 - $25/hr

... data analysis or reporting. * Exposure to healthcare, operations, or performance analytics. * Familiarity with KPIs and basic reporting frameworks. What We Offer * Entry-level opportunity with hands ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... make data-driven recommendations for improvements Qualifications Bachelor's degree in Computer ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field ● 0-2 years of professional experience (personal projects ...

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field • 0-2 years of professional experience (personal projects ...

... and entry-level candidates interested in building a career in Business Analysis. Candidates will support requirement gathering, documentation, reporting, data analysis, process improvement ...

Cloud Data Engineer (Entry-level)

Manhattan, NY · On-site

$126K - $151K/yr

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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Entry Level Data Analyst information

See Ridgewood, NJ salary details

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$33

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

As of Jul 1, 2026, the average hourly pay for entry level data analyst 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
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Data Analyst

Data Analyst

Wolfe Research

New York, NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About the Role:

Wolfe Research, LLC is a premier independent sell-side research firm with a commitment to best-in-class content and ongoing strategic growth. We produce the most objective and distinguished research across our covered sectors, and deliver our services with intense care and specificity to each of our institutional clients. We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.

Wolfe Research is seeking a motivated and data-driven entry level Assistant to join our Operations team. The associate will be responsible for data management, reporting and automation across all departments at Wolfe. This role will initially focus on the administration, monitoring, integration, and process management for data across the company in all business units. As the candidate is able to take on more, responsibilities will evolve to include Data Engineering work including assistance in building data pipelines, data integration between systems, and documentation and feedback into schemas, lineage and catalogs.

*This role is Hybrid – 3 days onsite (Tues-Wed-Thurs)

Responsibilities:

  • Management of data administration for complex and/or sensitive data
  • Data monitoring setup to ensure and enforce data management processes
  • Work together with other Operations members to operationalize and automate data processes
  • Work closely with business stakeholders like Finance, Research, Compliance, Sales & Management to generate business insights that empower decision making
  • Input into systems integrations as it relates to data transfer and governance (working with Product Management and Development)
  • Perform ad-hoc analysis and reporting, and partner with other team members to operationalize repeated reporting and analyses
  • Contribute to machine learning initiatives within Operations as business needs evolve
  • Be a data mentor to business stakeholders – educate them on data available to them, how best to utilize that data, and how to level up their data and reporting skills for basic and repeatable use cases.
  • Help best practice one team’s efficient use of data to other team’s across the firm.

Requirements and Qualifications:

  • Relevant coursework, 0-2 years of data analysis experience
  • Demonstrated logic-based thought process
  • Experience with collecting, organizing, and querying large complex data sets
  • Advanced in Excel
  • SQL advanced experience
  • Experience with reporting tools such as Power BI, Qlik, Tableau etc
  • Experience in Power Automate
  • Knowledge of data governance frameworks
  • Basic knowledge and usage of version control systems/tools such as Github
  • Use of Python coding libraries preferred, basic python knowledge required
  • Background in LLM/NLP, machine learning, and/or AI is a plus

Desired Soft Skills

  • Proactive mindset with the ability to take initiative and anticipate challenges.
  • Strong work ethic, reliability, and accountability for deliverables.
  • Ability to balance quality and speed in a fast-paced environment.
  • Commitment to team success, including production support responsibilities.
  • Adhere to the best practices of the Operations Department.

At Wolfe Research we feel passionately about equal pay for equal work and pay transparency is an integral practice for that. The compensation for this role is market competitive with a base salary range of $90,000-$115,000. We intend to offer the selected candidate a base salary within this range, based on non-discriminatory factors including but not limited to skill set, job-related experience, and location. In addition, we offer an annual discretionary incentive bonus and competitive employee benefits including: medical, dental and vision coverage; life, accident and disability insurance. Wolfe also offers paid time off packages that include vacation, sick days/leave, paid holidays and paid parental leave.

About Wolfe

Wolfe Research, LLC is a premier independent sell-side research firm with a commitment to best-in-class content and ongoing strategic growth. We produce the most objective and distinguished research across our covered sectors, and deliver our services with intense care and specificity to each of our institutional clients. We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.

The firm has established a leading reputation for sector and macro research. Our QES product provides leading stock selection models, cutting edge portfolio analytics and hedging tools, highly ranked ESG product, and back-tested alternative data. Wolfe Research’s analysts were voted #6 on a weighted basis for equity research during 2024 by institutional clients in the prestigious “Extel” (formerly Institutional Investor) All-America Research Poll, trailing only significantly larger bulge bracket firms, who have historically not been viewed as our peers.

We strive for excellence in every facet of our business, and we will continue to differentiate ourselves by maintaining the highest standards for effort, client service, thoughtfulness, and integrity. Wolfe remains committed to providing a home for the top-ranked, most innovative and inspired analysts and sales people, and places significant emphasis and resources on mentoring talent.

Wolfe Research recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity or sexual orientation, disability, age, citizenship or other characteristics. At Wolfe Research, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing integrity and objectiveness to our research process and we know our company’s biggest strength is the hard work, collaboration and diverse views and opinions of our passionate and creative employees. We are fully focused on equality and believe deeply that diversity of race, gender, sexual orientation, religion, ethnicity, national origin and all the other fascinating characteristics that make us different, also make us stronger.