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Entry Level Data Analysis Jobs in Commack, NY (NOW HIRING)

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

... Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced ...

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

Required Skills Excellent analytical, written and verbal communication skills Required Experience ... complex data problems Assess project requirements and develop data analysis algorithms Engage ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

This is an entry level role requiring the individual to have the aptitude to learn and to ... Perform ad-hoc Analysis that contributes to strategy and decision making * Aid team supporting ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

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Entry Level Data Analysis information

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$34

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

As of Aug 26, 2026, the average hourly pay for entry level data analysis in Commack, NY is $34.10, 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 is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Commack, NY?

The most popular types of Data Analysis jobs in Commack, NY are:

What cities near Commack, NY are hiring for Entry Level Data Analysis jobs?

Cities near Commack, NY with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Commack, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $70,922 per year, or $34.1 per hour.

Entry Level Data Analyst

Hicksville, NY • On-site

Gain America
51 - 200 employees
Learn more about Gain Americaexternal

$70K/yr

Contractor

Re-posted 4 days ago

Job description

Job description
Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management

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