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Associate Degree In Data Analytics Jobs in New York

Jobtailor

Lead Analyst, Data Advisor

New Brunswick, NJ · On-site

$95 - $120/hr

Minimum Bachelor's degree and/or equivalent University degree required; focused degree in business, information systems, data analytics, or related field preferred. * Advanced degree preferred.

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience) * Working knowledge of SQL * Experience with BI tools such as Tableau, Power BI ...

tignovate

Data Analyst

Manhattan, NY

Stay updated with industry trends and best practices in data analytics to continually improve the analytical process. Requirements * Bachelor's degree in Data Science, Statistics, Mathematics, or a ...

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Associate Degree In Data Analytics information

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How much do associate degree in data analytics jobs pay per month?

As of Aug 30, 2026, the average monthly pay for associate degree in data analytics in New York is $6,882.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,241.67 and $7,341.67 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in New York?

For Associate Degree In Data Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in New York look for?

The top searched job categories for Associate Degree In Data Analytics jobs in New York are:

What cities in New York are hiring for Associate Degree In Data Analytics jobs?

Cities in New York with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $82,586 per year, or $39.7 per hour.

Data Analyst III, Perfomance Analytics

Fanatics Betting & Gaming

New York, NY

Full-time

Re-posted 11 days ago

Job description

Team: FES Commercial (Fanatics ONE Loyalty & FanaticsApp Reports to: Data Analytics Manager, FES Commercial 

Job Summary

As the Performance Analyst III, you will play a key role in supporting the growth and success of Fanatics ONE (Loyalty) and FanaticsApp. Reporting to the FES Commercial Data Analytics Manager, you will be responsible for gathering and analyzing data across loyalty and app engagement, identifying trends, and providing actionable insights to inform strategies that drive member engagement, retention, and revenue. This role is ideal for an adaptive and detail-oriented individual who thrives in a fast-paced environment and has a passion for leveraging data to drive business decisions.

Key Responsibilities
  • Collect, clean, and organize large datasets from Fanatics ONE (Loyalty) and FanaticsApp to support engagement, retention, and revenue analysis.
  • Develop and maintain reporting dashboards to track performance metrics, including member engagement, FanCash earn/burn, tier progression, app DAU/MAU, retention/churn, and other KPIs across user segments.
  • Conduct ad hoc analyses to support strategic decision-making and uncover opportunities for growth and efficiency across the loyalty and app ecosystems.
  • Collaborate closely with the Sr. Performance Analyst, the Performance team, and key business stakeholders across Loyalty, App Product, and Marketing to provide the foundational data needed for strategic insights and initiatives.
  • Identify and communicate key trends, anomalies, and opportunities in engagement and loyalty performance metrics to stakeholders.
  • Partner with cross-functional teams (Product, Engineering, Marketing, Data Engineering) to ensure alignment and accuracy in data and reporting.
  • Continuously optimize data processes and reporting workflows to enhance efficiency and scalability.
What You'll Bring
  • Bachelor's degree in Business Analytics, Data Science, Economics, or a related field.
  • 4+ years of experience in data analysis, customer analytics, or related areas, preferably within loyalty programs, mobile app/product analytics, or the sports, betting, or technology industry.
  • Strong analytical skills with experience in data collection, analysis, and visualization tools (e.g., Sigma, Excel, SQL).
  • Exceptional attention to detail and the ability to work with large datasets while ensuring accuracy.
  • A self-starter mindset with a proven ability to learn quickly and adapt to changing priorities.
  • Solid understanding of loyalty program mechanics (points/rewards economics, tiering, redemption behavior) and/or mobile app engagement KPIs (funnels, retention curves, DAU/MAU) is a plus.
  • Excellent organizational skills with the ability to manage multiple projects and deadlines.
  • Clear and concise communication skills to present findings effectively to both technical and non-technical stakeholders.
  • A passion for data-driven decision-making and solving complex problems.
  • Experience with DBT, Snowflake a plus.


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