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Startup Entry Level Data Analyst Jobs in Edison, NJ

Precise - Int

Entry-Level Financial Analyst

New York, NY · On-site

This is an Entry-Level position, but candidates with 1-2 years of experience will be considered ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

Pixel Care

Pharmacy Data Specialist

Cedar Knolls, NJ · On-site

Perform benefits analysis and enter applicable insurance and coverage information to support order ... As a growing healthcare startup, we're building something meaningful together - finding new ways to ...

Mixpanel

Startup Program Manager

New York, NY · On-site +1

As Startup Program Manager, you'll own the day-to-day execution of the program: building and ... Mixpanel's pioneering event-based data analytics platform offers a powerful yet simple solution for ...

Mixpanel

Startup Program Manager

New York, NY · Hybrid

... data. * Genuine curiosity about the startup landscape and Mixpanel's product, with a habit of bringing new perspectives to the team. Bonus Points For * Familiarity with Mixpanel or similar analytics ...

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All JobsStartup Data Analyst JobsStartup Entry Level Data Analyst JobsStartup Entry Level Data Analyst Jobs in Edison, NJ

Startup Entry Level Data Analyst information

See Edison, NJ salary details

$13

$34

$63

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

As of Sep 3, 2026, the average hourly pay for startup entry level data analyst in Edison, NJ is $34.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $38.08 per hour, depending on experience, location, and employer.

What does a startup entry level data analyst do?

A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.

What are the key skills and qualifications needed to thrive as a startup entry level data analyst?

To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.

What are the most common challenges faced by entry-level data analysts working at startups?

Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.

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

AspectStartup Entry Level Data AnalystStartup Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, basic modelingAdvanced modeling, machine learning, algorithm development
Employer & Industry UsageStartups, tech companies, small businessesStartups, tech firms, research-focused companies

Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.

What are popular job titles related to Startup Entry Level Data Analyst jobs in Edison, NJ?

For Startup Entry Level Data Analyst jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Startup Entry Level Data Analyst jobs in Edison, NJ look for?

The top searched job categories for Startup Entry Level Data Analyst jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Startup Entry Level Data Analyst jobs?

Cities near Edison, NJ with the most Startup Entry Level Data Analyst job openings:

Startup Entry Level Data Analyst jobs near you
Infographic showing various Startup Entry Level Data Analyst job openings in Edison, NJ as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $70,902 per year, or $34.1 per hour.

Entry Level Business Analyst

Data Cloud Merge

Jersey City, NJ

Full-time

Re-posted 13 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau
Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.
Additional Information

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