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Entry Level Excel Data Analyst Jobs in New York (NOW HIRING)

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish ... Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)

Expert in the use of tools such as MS Excel, MS Access and any ETL tools ( Carlisle Group's Collateral Analysis System "CAS" preferred ) used to analyze loan level mortgage data. Knowledge of SQL ...

New

Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, charts, and analysis of large datasets Preferred * Masters degree preferred in Informatics, Health Data Analytics, or ...

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, charts, and analysis of large datasets Preferred * Masters degree preferred in Informatics, Health Data Analytics, or ...

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, charts, and analysis of large datasets Preferred * Masters degree preferred in Informatics, Health Data Analytics, or ...

Strong proficiency in Microsoft Excel, including advanced formulas, pivot tables, charts, and analysis of large datasets Preferred * Masters degree preferred in Informatics, Health Data Analytics, or ...

The ideal candidate loves data and has advanced computer skills. This is an exciting opportunity ... Excel Remarkable analytical abilities Excellent time management and organizational skills ...

The ideal candidate loves data and has advanced computer skills. This is an exciting opportunity ... Microsoft Excel • Remarkable analytical abilities • Excellent time management and ...

Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint BI & Analytics Tools (Tableau ... data visualization and/or an eye for design Proactive, independent thinker with high energy and ...

MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint * BI & Analytics ... Experience with data visualization and/or an eye for design * Proactive, independent thinker with ...

Data Analyst

Manhattan, NY · On-site

$80 - $100/hr

Advanced knowledge of Excel, SQL and Tableau. * Strong problem solving and analytical skills ... data. $80,000 - $100,000 Location New York, NY: 125 West 55th Street, 10019 Employment Type Regular ...

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Entry Level Excel Data Analyst information

What is an entry level Excel data analyst?

An Entry Level Excel Data Analyst is a professional who uses Microsoft Excel to organize, analyze, and interpret data to help organizations make informed decisions. They typically work with large datasets, create reports, and use Excel functions like formulas, pivot tables, and charts. Entry level analysts often assist senior analysts and may help with data cleaning, trend analysis, and basic data visualization. This role is ideal for individuals starting their careers in data analysis and looking to develop their technical and analytical skills.

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

To thrive as an Entry Level Excel Data Analyst, you need a solid understanding of data analysis fundamentals, proficiency with Microsoft Excel, and at least a bachelor's degree in a related field. Familiarity with Excel functions, pivot tables, basic data visualization tools, and possibly introductory knowledge of SQL or BI tools is advantageous. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills are critical for transforming raw data into actionable insights that support business decisions.

What are some common challenges faced by entry level Excel data analysts, and how can they be overcome?

Entry-level Excel Data Analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and learning advanced Excel functions. These can be overcome by gradually building proficiency in Excel through practice and online tutorials, double-checking data for errors, and seeking guidance from more experienced team members. Collaboration with colleagues and participating in team meetings can also help analysts understand project requirements and best practices, making it easier to deliver accurate and meaningful insights.

What is the difference between Entry Level Excel Data Analyst vs Data Coordinator?

AspectEntry Level Excel Data AnalystData Coordinator
Required SkillsProficiency in Excel, basic data analysis, attention to detailData management, organization, Excel skills, communication
CertificationsExcel certifications, data analysis coursesData management certifications often preferred
Work EnvironmentOffice setting, analytical tasks, reportingOffice environment, data entry, coordination tasks
Industry UsageBusiness, finance, marketingHealthcare, education, corporate sectors

While both roles involve working with data and Excel, an Entry Level Excel Data Analyst focuses on analyzing data and generating reports, whereas a Data Coordinator manages data organization and ensures data accuracy across systems. The analyst role emphasizes analysis skills, while the coordinator emphasizes data management and coordination tasks.

What are the most commonly searched types of Excel Data Analyst jobs in New York?

The most popular types of Excel Data Analyst jobs in New York are:

What job categories do people searching Entry Level Excel Data Analyst jobs in New York look for?

The top searched job categories for Entry Level Excel Data Analyst jobs in New York are:

What cities in New York are hiring for Entry Level Excel Data Analyst jobs?

Cities in New York with the most Entry Level Excel Data Analyst job openings:

Infographic showing various Entry Level Excel Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$75K - $90K/yr

Full-time

Re-posted 9 days ago


Job description

JOB DETAILS
Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States.
We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization.
Job Description
  1. 3 or more years' experience in a data analyst or data scientist role
  2. Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations
  3. Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks
  4. Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required
  5. Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality
  6. Experience writing DAGs in Apache Airflow
  7. Experience using Docker to containerize workflows
  8. Experience interacting with *nix OS' through the command line
  9. Experience with Plotly Dash or Streamlit
  10. Familiarity with Selenium is a plus
  11. Familiarity with numerical optimization is a plus
  12. Bachelor's Degree or higher in Analytics / Statistics / Data Science or other related subjects
  13. Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point)
  14. Ability to multi-task and adjust priorities based on workload and direction from management
  15. Self-motivated to document processes and teach others

Candidates that do not demonstrate all of the above are still strongly encouraged to a
apply
  1. Applicants should submit a paragraph summarizing one of their data science projects - the challenges they faced and how they overcame it
  2. Applicants should also provide links to their GitHub profiles or portfolios