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Data Analyst Graduate Jobs in New York (NOW HIRING)

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Data Analyst

New York, NY · On-site

$95K - $125K/yr

Qualifications: * 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field.

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... Graduate education in city planning, urban planning, urban design, architecture, landscape ...

Data Analyst

Manhattan, NY · On-site

$90K - $100K/yr

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... Graduate education in city planning, urban planning, urban design, architecture, landscape ...

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... Graduate education in city planning, urban planning, urban design, architecture, landscape ...

This is an excellent opportunity for a recent college graduate who enjoys working with numbers, spreadsheets, and solving business problems through data. Responsibilities Analyze and organize large ...

You don't need to be a full-stack engineer, but adding components to a React app shouldn't stop you cold. * (Plus) Degree or graduate study in data science or analytics * (Plus) Experience with Hex ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

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Data Analyst Graduate information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do data analyst graduate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst graduate 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 the difference between Data Analyst Graduate vs Data Analyst?

AspectData Analyst GraduateData Analyst
Required CredentialsTypically a bachelor's degree in a related field; some internships or entry-level certificationsOften requires a bachelor's degree; certifications like SQL, Excel, or Tableau are common
Work EnvironmentEntry-level, training-focused, often in corporate or consulting settingsFull-time professional role, working with teams on data projects in various industries
Employer & Industry UsageInternships, graduate programs, entry-level roles in finance, marketing, techEstablished roles across finance, healthcare, tech, retail, and more

The main difference is that a Data Analyst Graduate is an entry-level position or program for recent graduates, focusing on learning and development. A Data Analyst is a more experienced professional responsible for analyzing data, creating reports, and supporting decision-making in organizations.

What are some common challenges data analyst graduates face when transitioning from academic projects to real-world business data analysis?

One common challenge Data Analyst Graduates encounter is adapting to unstructured and messy real-world data, which often requires extensive cleaning and preprocessing before analysis can begin. Unlike academic datasets, business data may have inconsistencies, missing values, and complex relationships that require creative problem-solving. Additionally, graduates must learn to balance technical analysis with clear communication, translating insights into actionable recommendations for non-technical stakeholders. Collaborating effectively within cross-functional teams and managing tight deadlines are also key skills that take time to develop in a professional setting.

What is a data analyst graduate?

Data Analyst Graduates are individuals who have recently completed a degree or certification in data analysis, statistics, or a related field and are starting their careers in data analysis roles. They typically work with large sets of data to identify trends, generate reports, and provide actionable insights that help organizations make informed decisions. Data Analyst Graduates often use tools such as Excel, SQL, Python, or R to clean, analyze, and visualize data. Their work supports business strategies by uncovering patterns and solving real-world problems through data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst graduate?

To thrive as a Data Analyst Graduate, you need a solid understanding of statistics, data manipulation, and analytical methods, typically gained through a degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills that set candidates apart. These skills and qualities are crucial for extracting actionable insights from data and effectively supporting business decision-making.
What are the most commonly searched types of Data Analyst Graduate jobs in New York? The most popular types of Data Analyst Graduate jobs in New York are:
What job categories do people searching Data Analyst Graduate jobs in New York look for? The top searched job categories for Data Analyst Graduate jobs in New York are:
Infographic showing various Data Analyst Graduate job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,411 per year, or $43.5 per hour.

Data Analyst

Healthix, Inc.

New York, NY • On-site

$95K - $125K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 27 days ago

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Job description

JOB TITLE: Data Analyst

REPORTS TO: Director of Data Strategy and Reporting

DEPARTMENT: IT

HOURS: 40 Hours

FLSA STATUS: Exempt 

SALARY: $90k-125k

POSITION SUMMARY:

The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements.

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.


Essential Duties and Responsibilities:

  • Enhance and streamline data and pipeline architecture to improve data flow and collection.
  • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery.
  • Independently address the data requirements of multiple teams, systems, and products.
  • Refine or redesign Healthix’s data architecture to enable next‐generation products and data capabilities.
  • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.
  • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.
  • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.
  • Develop queries, support reporting needs, and tailor reporting solutions to enable data‐driven decision‐making.
  • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‐related problems.
  • Provide general reporting and project support across the organization.
  • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.
  • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.
  • Evaluate open‐source and vendor data‐lineage tools and contribute to long‐term data platform architecture planning across IT and Business teams.
  • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.


Supervisory Responsibilities:

  • This job has no supervisory responsibilities.


Qualifications:

  • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.
  • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.
  • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.
  • Experience in building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.
  • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and scalable big data stores.
  • Proficient in big data tools such as Hadoop, Spark, and Kafka.
  • Experience with relational SQL and NoSQL databases.
  • Strong programming skills with languages like Python, Java, C++, and Scala.
  • Ability to architect end-to-end ETL pipelines.
  • Experience with AWS services and BI tools like Tableau.
  • Strong quantitative, analytical, process development, facilitation, and organizational skills.
  • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Company Description

Healthix is a non-profit organization that works to improve patient care and manage population health. We securely aggregate patient health data from hospitals, labs, ambulatory care facilities and more and we share it amongst providers to improve clinical outcomes and enhance value based care delivery.