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Associate Degree In Data Analytics Jobs in Queens, NY

ays s.r.o.

Data Analyst

New York, NY · On-site +1

... degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field - 2+ years of experience in data analysis or a similar role - Proficiency in data analysis tools such as Excel ...

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 ...

Valley Bank

Data Scientist

Manhattan, NY · On-site

Bachelor's degree in a quantitative discipline, such as Business Analytics, Data Science, Mathematics, Econometrics, Engineering, Sciences. * Miniumum of 3 years working in a data analytics role with ...

American Express

Manager - Data Analytics

Manhattan, NY · On-site

$103K - $174K/yr

Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, Information Systems, or related field required. * Master's degree preferred. * Four or ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Queens, NY

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 10, 2026, the average monthly pay for associate degree in data analytics in Queens, NY is $6,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $5,958.33 and $7,000.00 per month, depending on experience, location, and employer.

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 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 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.

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 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.

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.
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Associate Degree In Data Analytics jobs near you

Global Head of Claims Data & Analytics

Starr

Manhattan, NY • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Starr is a global leader in commercial insurance with over a century of expertise, seeking a seasoned and visionary leader for the role of Global Head of Claims Data & Analytics. This executive will define and drive the enterprise-wide data and analytics strategy to enhance decision-making and support profitable growth, while promoting a data-driven culture.
Responsibilities:
• Lead, develop, and mentor a high-performing global claims data & analytics team, fostering collaboration across underwriting, claims, actuarial, finance, and IT.
• Design and implement a comprehensive data and analytics strategy aligned with the organization’s vision and business objectives.
• Oversee enterprise data governance, quality, security, and compliance initiatives, ensuring data integrity and regulatory compliance (e.g., GDPR, CCPA).
• Drive the adoption of predictive modeling, machine learning, and advanced analytics solutions for, claims, , fraud detection, and operational efficiency.
• Participate in the selection and integrate of leading-edge data technologies, platforms, and tools to support scalable and agile analytics infrastructure.
• Foster a data-driven culture by promoting analytics literacy and best practices across the global claim organization.
• Establish key performance indicators (KPIs), metrics dashboards, and reporting frameworks to measure progress and impact.
• Partner with external vendors, data providers, and technology partners to expand data sources and capabilities.
• Stay ahead of industry trends, regulatory changes, and disruptors in data & analytics within the Insurance sector.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
• 10+ years’ progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
• Proven expertise operationalizing data-driven solutions.
• Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
• Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
• Exceptional leadership, communication, and stakeholder management skills.
• Strong project management, vendor management and communication skills.
Company:
With 100+ years of experience across leading industries, We apply an innovation mindset, agile approach, And a global team with local expertise wherever you operate. Founded in 1919, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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