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

... to work with you. Entry Level Java developer We are looking for a motivated and confident ... Perform data analysis to support internal and external project needs. Design basic programs for ...

Entry Level Java Developer Hadronts put great efforts to make technology smoothly integrate with ... Perform data analysis to support internal and external project needs. Design basic programs for ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

As of Jun 11, 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 successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

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.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

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.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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.
What are the most commonly searched types of Data Analyst jobs in Ridgewood, NJ? The most popular types of Data Analyst jobs in Ridgewood, NJ are:
What are popular job titles related to Entry Level Data Analyst jobs in Ridgewood, NJ? For Entry Level Data Analyst jobs in Ridgewood, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Ridgewood, NJ look for? The top searched job categories for Entry Level Data Analyst jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Entry Level Data Analyst jobs? Cities near Ridgewood, NJ with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Ridgewood, NJ as of June 2026, with employment types broken down into 78% Full Time, 13% Part Time, and 9% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $69,294 per year, or $33.3 per hour.

Associate Analyst, Insights, Data & Intelligence

Burson

New York, NY • On-site

Full-time

Posted 21 days ago


Job description

Who we are:
Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation.
WPP (LSE/NYSE: WPP) is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com
For more information visit bursonglobal.com and follow us on LinkedIn and Instagram.
More about the role:
The Business Insights, Data & Intelligence (BIDI) team sits at the heart of this work-turning data into strategic insight that drives storytelling, campaign performance, and business outcomes.
Due to our expanding client roster and scopes, Burson is seeking to hire a group of entry-level Associate Analysts to join our best-in-class Business Insights, Data & Intelligence (BIDI) team, supporting some of the world's most recognizable global brands such as The Coca-Cola Company, Verizon and Google. This opportunity is ideal for a recent graduate with internship experience in digital media, marketing, communications, or analytics who is excited to explore the intersection of social media, consumer behavior/social listening, and data-driven storytelling.
As part of a highly collaborative team, you'll gain hands-on experience uncovering cultural insights, monitoring online conversations, and helping brands make informed decisions through social and digital intelligence. This is a unique opportunity to launch a career in analytics at one of the world's leading global communications agencies while working across high-profile client accounts.
This role can be based in Atlanta, the New York metro area, or Los Angeles, with a preference for Atlanta-based candidates.
Relocation assistance will be available for candidates open to relocating to Atlanta.
What you'll do:
  • Support social listening, media monitoring, and reporting initiatives across a portfolio of global brands.
  • Track cultural moments, emerging conversations, competitor activity, and consumer sentiment across social and digital platforms.
  • Learn and utilize industry-leading tools such as Brandwatch, Sprinklr, and NewsWhip to uncover actionable insights tied to brand reputation, campaign performance, sustainability, and corporate communications initiatives.
  • Translate complex social and digital data into clear, compelling narratives and presentations for internal teams and clients.
  • Assist in developing recurring reports, dashboards, and performance analyses to measure brand health and campaign impact.
  • Monitor online conversations and media trends surrounding brand, industry, and corporate topics in real time.
  • Partner with cross-functional teams across strategy, creative, media, and communications in a fast-paced agency environment.
  • Gain exposure to both agency operations and client-facing work while developing analytical and storytelling skills.
Experience that contributes to success:
  • Bachelor's degree in communications, marketing, journalism, public relations, data analytics, business, or a related field.
  • Internship or hands-on experience in PR, marketing, social media, analytics, communications, or digital strategy preferred.
  • Strong curiosity about social media trends, consumer behavior, internet culture, and data-driven insights.
  • Excellent written, verbal, and presentation skills with the ability to synthesize information clearly and concisely.
  • Strong organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.
  • Proficiency in Microsoft Excel and PowerPoint; familiarity with pivot tables, Boolean search logic, dashboards, or data visualization tools is a plus.
  • Comfortable learning new technologies and navigating a dynamic, fast-paced environment.
  • Collaborative mindset with a willingness to learn, contribute ideas, and work across teams.
  • Exposure to social listening or analytics platforms such as Brandwatch, Sprinklr, Talkwalker, or Meltwater is a plus.
  • Additional language fluency in Spanish, Portuguese, or French is a bonus.

#LI-BO2
Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package; click here for more details: https://mybenefits.wpp.com/public/welcome.
The base salary for this position at the time of this posting may range between:
$35,000-$75,000 USD
You belong at Burson:
Our vision is for Burson to be the leading 'academy company' for creative communications professionals and emerging leaders. We provide a dynamic environment where ambitious colleagues come to elevate their skills, expand their networks, and ultimately, produce the best solutions for today's leading brands. Our commitment to your growth is reflected in our robust benefits and people programs, which include professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation and packages designed to reward and retain top talent. We invest in our people because we believe their success is our success.
At Burson, we're an agency of learn-it-alls. We recognize that the things we do best, creativity and communications, require a level of nuanced understanding. That's why it's imperative for us to hire extraordinarily talented people of all backgrounds and identities. Without that we can't do the essential work of inspiring bold ideas, fostering constructive dialogue, cultivating meaningful experiences, and driving innovation and creativity for our partners. Your unique point of view-your talent-is what makes you a #BursonPerson, and it's how we deliver exceptional results for our clients, together.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
When you click the "Submit Application" button below, this will send any information you add below to Burson. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.