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Data Analyst Jobs in Spring Valley, NY (NOW HIRING)

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We pride ourselves on having a great team and fun work environment while doing great work for our ...

DIRECTV Advertising is looking for a data analyst to make an immediate impact by supporting the linear and digital advertising business within the Analytics & Insights team. We are seeking an ...

Research, analyze, and validate the primary source(s) for definitive data and completeness to feed metrics associated with Retirement Investment Services. * Develop proactive data strategies and ...

Job Requirements Data/Business Analyst with 10+ years of experience JD: Business & Technical Analyst/Engineer to bridge the gap between complex accounting processes and agentic automation. You will ...

Data Analyst

New York, NY ยท On-site +1

$92K - $115K/yr

As a Data Analyst, you will be a foundational architect of our data-driven future. You won't just pull numbers; you will deliver results by uncovering the "why" behind buyer and seller behavior. What ...

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

Data Analyst

New York, NY ยท On-site

$92K - $115K/yr

As a Data Analyst, you will be a foundational architect of our data-driven future. You won't just pull numbers; you will deliver results by uncovering the "why" behind buyer and seller behavior. What ...

Data Analyst Location: NYC, NY Duration: Longterm Description * Expertise on SQL (Snowflake or any other MPP databases such as Redshift) 2. Very good knowledge in data visualization tools such as ...

RevOps Data Analyst

New York, NY ยท On-site +1

$100K - $110K/yr

As our RevOps Data Analyst , you will be the analytical engine driving our Go-To-Market (GTM) strategy and execution. You won't just mine data-you will translate it into powerful, usable insights ...

Data Analyst II

New York, NY ยท Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

Data Analyst I

New York, NY ยท On-site

$88K - $110K/yr

The Data Analyst I produces automated reports to Garner's clients and prospects on their engagement with Garner and utilization of healthcare. They also partner with our externally-facing ...

Showing results 41-60

Data Analyst information

See Spring Valley, NY salary details

$34.5K

$83.7K

$137.8K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Spring Valley, NY is $83,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $98,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Spring Valley, NY?

The most popular types of Data Analyst jobs in Spring Valley, NY are:

What job categories do people searching Data Analyst jobs in Spring Valley, NY look for?

The top searched job categories for Data Analyst jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Data Analyst jobs?

Cities near Spring Valley, NY with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Spring Valley, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,741 per year, or $40.3 per hour.

$106K/yr

Full-time

Posted 21 days ago


Job description

As a Data Analyst, you will support Fleet Management programs by providing data analytics, reporting, business intelligence, and decision-support capabilities.

Location of position:ย Federal Acquisition Services (FAS), Office of Shared Shared Services Delivery, Office of Fleet Management.
The Office of Fleet Management is responsible for overseeing government vehicles and transportation services.

We are currently filling five (5) vacancies, but additional vacancies may be filled as needed.

Qualifications:

To evaluate your qualifications, your resume must clearly demonstrate how you meet the specialized experience described below. Your resume must not exceed two pages. To ensure your qualifications can be fully evaluated, we recommend including the following information:ย 

  • Name, address, telephone number, email address;

  • Job Title (if Federal Service, provide series and grade; if not in GS plan, provide GS equivalent grade);

  • Relevant work experienceโ€”should include employer name, job title, start and end dates (month/year), the number of hours worked per week and descriptions that explain how you meet the required qualifications in the job announcement.

  • Education, certifications or licensuresโ€”If the job announcement requires any education, certifications or licensures, make sure to include the required information and any required documents like transcripts.

Your resume should contain enough information to make a valid determination that you fully meet experience requirements for each grade level you are applying to.ย If you do not provide enough information for us to determine your qualifications, you may be rated ineligible.

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-13ย salary range starts at $106,437 per year.ย  Locality will be determined based on duty location.
To qualify, you must have at least one year of specialized experience equivalent to the GS-12ย level or higher in the Federal service.

Specialized experience is

  • Applying quantitative and qualitative analysis methods, statistical tools, data visualization, and/or prediction modeling
    techniques to evaluate program performance, business process effectiveness, and support management decisions.
  • Extracting, validating, interpreting, and analyzing data from various sources to identify patterns and trends for program
    improvements.
  • Maintaining and/or enhancing performance dashboards, reports, and performance metrics to track agency program
    activities and initiatives.
  • Translating information from various sources into analytical requirements and producing reports, dashboards, briefings,
    or visualizations for leadership and stakeholders.
Education:

The is no qualifying education at the GS-13 level.ย 

Employment Type: OTHER