1

Analytics Engineer Data Analyst Jobs in New York

GCP Cloud Analytics Engineer

Morristown, NJ · On-site

$57.25 - $76.75/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

GCP Cloud Analytics Engineer

Stamford, CT · On-site

$59.50 - $79.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

GCP Cloud Analytics Engineer

New York, NY · On-site

$61 - $81.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

We work at the intersection of data engineering and analytical depth, with a stack built around dbt, Snowflake, and Artie, and a growing investment in our semantic layer. This is an early but high ...

We work at the intersection of data engineering and analytical depth, with a stack built around dbt, Snowflake, and Artie, and a growing investment in our semantic layer. This is an early but high ...

Senior Analytics Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Establish core data infrastructure for a new marketing project, transforming raw event data into ... Senior Analytics Engineer Qualifications * Over 5 years of experience in analytics engineering ...

Collaborating closely with Product Management, Product Engineering, Data Engineering, and Analytics teams, you'll ensure data solutions are strategically aligned, efficient, and consistently reliable ...

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Data Analytics Engineer

Manhattan, NY · On-site

$150K - $225K/yr

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Analytics Engineer I

New York, NY · On-site

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Data Analytics Engineer

New York, NY · On-site

$150K - $225K/yr

The Control Engineering team at Clear Street is a small team with a great deal of responsibility ... You'll build on your analytical skills to create solutions that process large amounts of data from ...

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

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.

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Support enterprise data warehouse and analytics environments * Work with PostgreSQL, AWS Aurora ... Data Engineering, Data Integration, or related fields * Strong SQL development and query ...

... programming languages. • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools. • Understanding of data modeling, governance, data ...

Showing results 41-60

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.

GCP Cloud Analytics Engineer

Morristown, NJ • On-site

Deloitte
Finance and Insurance • 10K+ employees

$57.25 - $76.75/hr

Full-time

Posted 8 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Qualifications:

GCP Cloud Analytics Engineer

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Recruiting for this role ends on 09/10/2026.

Work you'll do

As an Engineer on the GCP Cloud Analytics on the AI & Data team, you will be responsible for:

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications Required:

  • 3+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor's degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,300 to $155,00.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom