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Startup Entry Level Data Analyst Jobs in Edison, NJ

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... analytical mind with creative problem-solving skills to use data to drive success. The ideal ...

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... Building proactive analysis through data mining to identify trends and opportunities for product ...

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Entry Level Data Architect

New York, NY · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Work with business analysts and stakeholders to understand data requirements and translate them ...

Entry Level Data Architect

New York, NY · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Work with business analysts and stakeholders to understand data requirements and translate them ...

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Senior Data Analyst (NYC Hybrid)

New York, NY · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... Excitement about working in a fast-moving startup environment * A bias for action and enthusiasm ...

Act as a healthcare data SME on a rapidly growing Data & Analytics team. * Design, develop, and ... Excitement about working in a fast-moving startup environment * A bias for action and enthusiasm ...

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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 Aug 13, 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 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 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 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 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:

Infographic showing various Startup Entry Level Data Analyst job openings in Edison, NJ as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $70,902 per year, or $34.1 per hour.

Full-time

Re-posted 14 days ago


Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success.

The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you. In a fast paced, ever-changing environment, you will be involved in the following - Building proactive analysis through data mining to identify trends and opportunities for product optimization.

Finding areas of opportunity to drive revenue in a digital advertising campaign. Proving value to strategic clients by developing data-driven stories in dynamic presentations. Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.

Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky. Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues. Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.

Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports. Become an expert in industry, customer and SundaySky measurement methodologies. Requirements: The ideal candidate will have the following experience and skillset: Minimum 3 years of experience in business analytics or digital advertising environment Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones.

Balances desire for quantitative rigor with realities of inconsistent business data Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives Experience with the following tools: MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint BI & Analytics Tools (Tableau, MicroStrategy, SAS) Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc. Open source statistical software: R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with data visualization and/or an eye for design Proactive, independent thinker with high energy and positive attitude Bachelor's degree (B.A. or B.Sc.) or equivalent

Experience with ecommerce / digital advertising best practices Willingness to take coaching for continuous personal development Experience working with a distributed team of Sales managers, project managers and technical support. Must be authorized to work in the US