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Analytics Engineer Data Analyst Jobs in New York

StubHub

Senior Analytics Engineer - Data

New York, NY · Hybrid

$200K - $250K/yr

... Analyst, or any occupation, job title, position performing analytics engineering, data engineering ... and business intelligence. Must also have experience in the following : 3 years of professional ...

StubHub

Senior Analytics Engineer - Data

New York, NY · On-site

$200K - $250K/yr

... Analyst, or any occupation, job title, position performing analytics engineering, data engineering ... and business intelligence. Must also have experience in the following : 3 years of professional ...

MERU

Analytics Engineer, Data Insights

New York, NY · On-site

$125K/yr

Analytics Engineer Qualifications: * Bachelor's degree from a top university, required * 3+ years of business intelligence or data analytics experience * Previous experience in data and analytics ...

The Walt Disney Company

Data Analyst

New York, NY · On-site

This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Data Direct Networks

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN ... You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted ...

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Analytics Engineer Data Analyst information

What is the difference between Analytics Engineer Data Analyst vs Data Scientist?

AspectAnalytics Engineer Data AnalystData Scientist
CredentialsBachelor's in Data, Analytics, or related fields; certifications like SQL, Excel, TableauBachelor's or higher in Data Science, Statistics, or Computer Science; often includes Python, R certifications
Work EnvironmentBusiness teams, data warehouses, reporting toolsResearch, modeling, advanced analytics, machine learning environments
Employer & Industry UsageFinance, marketing, retail, tech companies focusing on data reportingTech, healthcare, finance, research institutions focusing on predictive modeling

While both roles work with data, Analytics Engineers Data Analysts focus on data collection, cleaning, and reporting to support business decisions. Data Scientists develop models and algorithms for predictive insights. The roles complement each other but differ in technical depth and focus areas.

What do analytics engineer data analysts do?

Analytics engineer data analysts collect, process, and analyze data to help organizations make informed decisions. They often work with tools like SQL, Python, or data visualization software and focus on building reliable data pipelines and reports. Their role combines technical skills with business understanding to deliver actionable insights.

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

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

Infographic showing various Analytics Engineer Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Analytics Engineer - Data

New York, NY • Hybrid

StubHub
Software Development • 1 - 5K employees
Learn more about StubHubexternal

$200K - $250K/yr

Full-time

Posted 13 days ago

StubHub rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

2nd of 4 rated ticket sellers

Job description

Senior Analytics Engineer - Data (StubHub, Inc., New York, NY)

Design, implement, and enhance complex financial data models and analytical pipelines, applying advanced techniques and best practices using orchestration frameworks such as Airflow and dbt. Perform advanced statistical, predictive, and exploratory analyses on large-scale datasets, leveraging distributed cloud computing platforms including SparkSQL, BigQuery, Snowflake, and Databricks. Develop, refine, and maintain analytical data models, metrics, and datasets, ensuring accuracy, consistency, and usability for downstream analytics and reporting. Create and maintain sophisticated reports, dashboards, and self-service analytics tools using BI platforms such as Tableau and Looker to support data-driven decision-making. Partner with business and product stakeholders to understand complex data requirements, translating business questions into analytical solutions and clearly communicating results and insights. Apply deep expertise in financial data analysis, producing insights, forecasts, and models that support business objectives and extend to adjacent business domains as needed. Collaborate closely with engineering teams on data integration and modeling approaches, effectively bridging technical and analytical perspectives without assuming people-management responsibilities. Develop and maintain high-quality analytical code using programming languages such as Python and Java, along with configuration and markup languages including YAML, following established coding and data standards. Telecommuting may be permitted up to 2 days a week. When not telecommuting, must report to StubHub Inc. at 3 World Trade Center - 175 Greenwich Street, 59th Floor, New York, NY 10007. Salary: $200,000 to $250,000 per year.

MINIMUM REQUIREMENTS: 

Bachelor's degree or U.S. equivalent in Data Science, Finance, Business Administration, or a related field, plus 3 years of professional experience as a Data Scientist, Business Intelligence Analyst, or any occupation, job title, position performing analytics engineering, data engineering, and business intelligence.

Must also have experience in the following: 3 years of professional experience transforming and analyzing large scale data with modern cloud computing platforms (including SparkSQL, BigQuery, Snowflake, and Databricks); 3 years of professional experience utilizing SQL, programming languages (including Python) and markup and configuration languages (including YAML); 3 years of professional experience building data models and pipelines using orchestration software (including Airflow and dbt); 3 years of professional experience building reports and dashboards with business intelligence (BI) tools (including Tableau and Looker); 3 years of professional experience using data processing; 3 years of professional experience performing data cataloging and utilizing metadata management tools; and 3 years of professional experience working with non-technical stakeholders to understand, anticipate, and deliver data needs.

Contact: Apply Online:
#LI-DNI

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