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

Vendelux Inc

Part time Data Intern

New York, NY · On-site

We are offering a paid internship to an entry-level person looking to break into tech and startups ... Use SQL and dashboarding tools to perform data analysis to identify insights about events ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ · On-site

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

JLL

Transformation Analyst

New York, NY

This entry-level role provides recent graduates with the opportunity to work on high-impact ... Use data, facts, and logical reasoning to make recommendations * Develop financial models and ...

SynergisticIT

Java/Backend Developer (Entry Level)

Corona, NY · On-site

$53.25 - $69/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

The Leffell School

Business Analyst

Hartsdale, NY · On-site

$65K - $70K/yr

This new, entry-level role is perfect for someone who loves analyzing data to tell a story, mastering software tools, and utilizing technology to streamline processes. Reporting to the CFO with a ...

ConsultAdd, Inc.

Business Analyst

Jersey City, NJ

SOA-based integration and data management; process-driven SAP implementation; and strategic process ... Position : Business Analyst ( ENTRY LEVEL : 0-2 years exp.) Contarct Type : W2 only Interview

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Entry Level Data Analyst information

See Ridgewood, NJ salary details

$13

$33

$62

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.
More about Entry Level Data Analyst jobs
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Entry Level Data Analyst jobs near you
Part time Data Intern

Part time Data Intern

Vendelux Inc

New York, NY • On-site

Part-time

Posted 9 days ago

Job description

Vendelux is transforming how companies discover, evaluate, and maximize the impact of events.
Event marketers are the driving force behind pipeline and brand - yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions.
Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer's dream. A key part of this is our growing network of event organizer partnerships - where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights.
In addition, Vendelux Meetings helps customers turn event insights into action - using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful.
Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Airbnb, FanDuel, Shutterstock, Compass and more.
We are offering a paid internship to an entry-level person looking to break into tech and startups. This is an onsite NYC role for a local college or MBA student who can commit around 20+ hours/week during the winter/spring semester. This could develop into a full-time role for the right person.
The intern will handle various administrative, research, or data operations tasks for the marketing and data teams. For candidates with the right background, projects may include data analytics and insights using SQL.
Key Responsibilities
  • Assist with event research to identify and validate key data inputs for AI models
  • Review and resolve data errors in the database; collaborate with team on patterns and potential signals
  • Use SQL and dashboarding tools to perform data analysis to identify insights about events, attendees, and organizations attending events
  • Leverage AI-enabled tools to generate and manage sensitive datasets

Qualifications
  • Based in New York City and able to work from our midtown office
  • Available ~20+ hours per week
  • Detail-oriented with high level of ownership
  • Can-do attitude willing to take on whatever projects are needed

Why Join Us
  • Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI.
  • Product market fit: Customers love our platform; now it's about enhancing the user experience and scaling with AI.
  • Ownership: You'll set the standard for how we build, evaluate, and ship AI at Vendelux.
  • Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML.

Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms.
Not all candidates will check all of the requirements listed above and that's ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

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