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Intermediate Data Analyst Jobs in New York (NOW HIRING)

... Intermediate skill level of SAS (Statistical Analysis System) required; ability to create, manipulate, and maintain queries used for scheduled and ad-hoc data reporting and analysis Advanced skill ...

... Intermediate skill level of SAS (Statistical Analysis System) required; ability to create, manipulate, and maintain queries used for scheduled and ad-hoc data reporting and analysis Advanced skill ...

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Utilize intermediate data analysis techniques to extract insights and inform decision-making. * Arbitrate discrepancies effectively, ensuring consistent data quality. Linguistic and NLP Tasks:

Data Analytics LOCATION: New York, USA FLSA STATUS: EXEMPT Salary $110000.00 JOB SUMMARY Data ... Intermediate skills with Python and R and willingness to advance. * Knowledge and understanding of ...

Analyst

Manhattan, NY · On-site

$85.60 - $128.40/hr

Support ad hoc data investigations and analyses as needed. Basic Qualifications * 2+ years of experience in a data analyst, marketing analytics, or data operations role. * Intermediate SQL ...

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Intermediate Data Analyst information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do intermediate data analyst jobs pay per year?

As of Aug 26, 2026, the average yearly pay for intermediate data analyst in New York is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

What is an intermediate data analyst?

Intermediate Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They possess solid analytical skills, working knowledge of data analysis tools, and the ability to interpret complex data sets. Typically, they have some experience beyond entry-level roles and can handle more advanced tasks such as building reports, creating dashboards, and supporting business strategies with data-driven insights. Their work often involves collaborating with other teams to identify trends and provide actionable recommendations.

How does an intermediate data analyst typically collaborate with other departments within an organization?

As an Intermediate Data Analyst, you'll frequently work alongside teams such as marketing, finance, operations, and IT to gather requirements, interpret data needs, and deliver actionable insights. You may be responsible for translating business questions into analytical tasks, sharing findings through presentations or dashboards, and supporting decision-making processes. Collaboration often involves participating in cross-functional meetings, clarifying data definitions, and ensuring that analysis aligns with organizational goals. Building strong relationships with stakeholders is key to understanding their challenges and ensuring your work has maximum impact.

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

To thrive as an Intermediate Data Analyst, you need strong analytical skills, experience with data manipulation and statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Proficiency in tools like SQL, Excel, Python or R, and familiarity with data visualization platforms such as Tableau or Power BI are typically required. Attention to detail, effective problem-solving, and clear communication skills help you translate complex data into actionable insights for stakeholders. These skills and qualities are crucial for delivering accurate analyses that drive informed business decisions.

Is it still worth it to become a data analyst in 2026?

Data analyst roles remain valuable in 2026 as organizations continue to rely on data-driven decision-making, with skills in SQL, Excel, and data visualization tools like Tableau or Power BI in demand. The role often requires strong analytical skills, familiarity with programming languages such as Python or R, and the ability to interpret complex data sets, making it a stable career choice for those with relevant skills. Continuous learning and certification can enhance job prospects in this evolving field.

What is intermediate level data analysis?

Intermediate data analysts perform more complex data analysis tasks than entry-level roles, including data cleaning, visualization, and basic statistical modeling using tools like Excel, SQL, or Python. They interpret data insights to support decision-making and often work with larger datasets and more advanced techniques than beginners.

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

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

What are popular job titles related to Intermediate Data Analyst jobs in New York?

For Intermediate Data Analyst jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Intermediate Data Analyst jobs?

Cities in New York with the most Intermediate Data Analyst job openings:

Infographic showing various Intermediate Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Health Data Analyst II

Manhattan, NY • Hybrid

1199SEIU Funds
Insurance Services • 501 - 1,000 employees

Full-time

Re-posted 15 days ago


Job description

Responsibilities:

Create and maintain databases
Develop and implement processes for data entry, data formatting, report archiving
Translate business requirements into data queries, report generations, and charts
Generate and manage reports, perform data analysis including identifying trends, and provide recommendations.
Support management in developing and testing project implementations and system enhancements
Troubleshoot and resolve issues related to reporting logs, document Imaging, and letter generation
Communicate with internal departments and external vendors to identify and resolve issues
Audit reports from internal and external systems for accuracy of content and compliance with departmental policies and procedures
Assist Management with development of process improvement tools and staff training; support staff by resolving escalated issues
Perform additional duties and projects as assigned by management

Qualifications
Bachelor's degree in computer science, Health Care Analytics, or a related field required
Minimum three (3) years' experience managing relational databases to include database management and data analysis
Experience working in the Health Care industry with knowledge of Care Management, Medical, or Hospital claims business operations preferred
Experience writing system specifications, expert knowledge of relational database concepts (i.e., queries, tables, forms, and reports)
Demonstrated experience in report generation and data analysis required; ability to identify anomalies, trends, and provide recommendations
Intermediate skill level of SAS (Statistical Analysis System) required; ability to create, manipulate, and maintain queries used for scheduled and ad-hoc data reporting and analysis
Advanced skill level of Microsoft Products (Access, Excel, Word, PowerPoint, Visio) required, excellent working knowledge of database tables, forms, queries, and reports
Strong critical thinking and analytical skills, detailed oriented, ability to work independently
Excellent time management and project management skills; able to prioritize and multi-task
Excellent verbal and written communication skills a must

This is a hybrid position. Our offices are located in New York City.

Employment Type: Full time