Analytics Engineer Jobs in New York
Analytics Engineer jobs in New York are among the most active in the country, concentrated in financial services, media and advertising technology, and enterprise software, with openings at every level from junior data analyst to principal engineer. The bulk of hiring is in New York City, with secondary clusters in Buffalo and Albany, where large employers like JPMorgan Chase, Verizon, and Bloomberg maintain substantial data and analytics teams. The most in-demand specializations are dbt-based transformation workflows, cloud data warehouse engineering on platforms like Snowflake and BigQuery, and analytics infrastructure for fintech and ad tech products. Find a role that fits below and apply directly.
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Showing 5 of 1,190+ Analytics Engineer jobs
Job Description
Requisition ID
94236
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview
The Senior Associate, Analytics Engineer is responsible for designing, building, and maintaining scalable analytics engineering solutions that transform enterprise data into trusted, consumable data products that support business intelligence, advanced analytics, and AI-driven decision making. Embedded within the Enterprise Intelligence Platform team, this role partners with business stakeholders, data engineers, data scientists, and machine learning engineers to deliver high-quality analytical datasets and transformation pipelines across modern cloud platforms.
Working with a high degree of independence, this individual leads the delivery of analytics engineering workstreams from source alignment and data modeling through deployment, testing, and operational monitoring. The role combines strong technical expertise in dbt, SQL, Python, and cloud data platforms with a commitment to data quality, governance, and engineering excellence. The successful candidate will contribute to platform standards, mentor peers, and help advance modern analytics engineering practices that enable enterprise-scale AI and intelligence products.
What You'll Do:
- Design, build, and optimize scalable dbt transformation pipelines and analytical data products across cloud data platforms, delivering trusted datasets, dimensional models, feature tables, and business-ready data assets that support reporting, analytics, and AI use cases.
- Own data products throughout their lifecycle, including source alignment, modeling, testing, documentation, deployment, monitoring, and continuous improvement, ensuring performance, reliability, governance, and downstream usability.
- Implement and enhance data quality, observability, and governance practices through automated testing, source freshness validation, lineage documentation, metadata management, and compliance with enterprise data standards.
- Contribute to analytics engineering platform capabilities by developing reusable dbt macros, modeling patterns, semantic layer definitions, and automation accelerators that improve consistency, scalability, and delivery efficiency across teams.
- Collaborate with business stakeholders, data stewards, engineers, and data scientists to translate requirements into well-defined solutions, resolve data challenges, support Agile delivery processes, and promote analytics engineering best practices through mentorship and code reviews.
What You'll Bring:
Required Skills
- Bachelor's degree and 4+ years of progressive experience in data engineering, analytics engineering, or a related discipline, with a strong focus on production-scale data transformation and analytics platforms.
- Deep expertise in SQL, including complex joins, window functions, common table expressions, query optimization, and large-scale data transformation patterns, along with proficiency in Python for data engineering tasks.
- Hands-on experience with dbt, including layered modeling, incremental processing, source definitions, testing frameworks, reusable macros, documentation, and multi-environment deployment strategies.
- Experience working with modern cloud data platforms such as Databricks and/or BigQuery, with a strong understanding of ELT architectures, dimensional modeling, and analytical data product design.
- Knowledge of software engineering best practices, including Git-based development workflows, code reviews, CI/CD integration, automated testing, and Agile delivery methodologies.
- Strong communication, problem-solving, and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions and effectively collaborate across technical and non-technical teams.
Preferred Skills
- Experience with semantic layer technologies such as dbt Semantic Layer, MetricFlow, Looker LookML, or comparable platforms used to standardize and govern business metrics.
- Familiarity with AI-enabled analytics engineering practices, including LLM-assisted development, agentic workflows, automated anomaly detection, and intelligent data quality remediation.
- Experience with data observability, lineage, and governance platforms such as Monte Carlo, Dataplex, DataHub, Alation, or similar technologies.
- Exposure to graph-based data models, knowledge graphs, context graph architectures, or AI-enabled data platforms supporting advanced analytics and machine learning use cases.
- Insurance, financial services, or highly regulated industry experience with knowledge of data privacy, governance, and enterprise compliance requirements.
Pay Transparency
Salary Range: $124,000-$177,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94236
Job Description
Requisition ID
94236
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Role Overview
The Senior Associate, Analytics Engineer is responsible for designing, building, and maintaining scalable analytics engineering solutions that transform enterprise data into trusted, consumable data products that support business intelligence, advanced analytics, and AI-driven decision making. Embedded within the Enterprise Intelligence Platform team, this role partners with business stakeholders, data engineers, data scientists, and machine learning engineers to deliver high-quality analytical datasets and transformation pipelines across modern cloud platforms.
Working with a high degree of independence, this individual leads the delivery of analytics engineering workstreams from source alignment and data modeling through deployment, testing, and operational monitoring. The role combines strong technical expertise in dbt, SQL, Python, and cloud data platforms with a commitment to data quality, governance, and engineering excellence. The successful candidate will contribute to platform standards, mentor peers, and help advance modern analytics engineering practices that enable enterprise-scale AI and intelligence products.
What You'll Do:
- Design, build, and optimize scalable dbt transformation pipelines and analytical data products across cloud data platforms, delivering trusted datasets, dimensional models, feature tables, and business-ready data assets that support reporting, analytics, and AI use cases.
- Own data products throughout their lifecycle, including source alignment, modeling, testing, documentation, deployment, monitoring, and continuous improvement, ensuring performance, reliability, governance, and downstream usability.
- Implement and enhance data quality, observability, and governance practices through automated testing, source freshness validation, lineage documentation, metadata management, and compliance with enterprise data standards.
- Contribute to analytics engineering platform capabilities by developing reusable dbt macros, modeling patterns, semantic layer definitions, and automation accelerators that improve consistency, scalability, and delivery efficiency across teams.
- Collaborate with business stakeholders, data stewards, engineers, and data scientists to translate requirements into well-defined solutions, resolve data challenges, support Agile delivery processes, and promote analytics engineering best practices through mentorship and code reviews.
What You'll Bring:
Required Skills
- Bachelor's degree and 4+ years of progressive experience in data engineering, analytics engineering, or a related discipline, with a strong focus on production-scale data transformation and analytics platforms.
- Deep expertise in SQL, including complex joins, window functions, common table expressions, query optimization, and large-scale data transformation patterns, along with proficiency in Python for data engineering tasks.
- Hands-on experience with dbt, including layered modeling, incremental processing, source definitions, testing frameworks, reusable macros, documentation, and multi-environment deployment strategies.
- Experience working with modern cloud data platforms such as Databricks and/or BigQuery, with a strong understanding of ELT architectures, dimensional modeling, and analytical data product design.
- Knowledge of software engineering best practices, including Git-based development workflows, code reviews, CI/CD integration, automated testing, and Agile delivery methodologies.
- Strong communication, problem-solving, and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions and effectively collaborate across technical and non-technical teams.
Preferred Skills
- Experience with semantic layer technologies such as dbt Semantic Layer, MetricFlow, Looker LookML, or comparable platforms used to standardize and govern business metrics.
- Familiarity with AI-enabled analytics engineering practices, including LLM-assisted development, agentic workflows, automated anomaly detection, and intelligent data quality remediation.
- Experience with data observability, lineage, and governance platforms such as Monte Carlo, Dataplex, DataHub, Alation, or similar technologies.
- Exposure to graph-based data models, knowledge graphs, context graph architectures, or AI-enabled data platforms supporting advanced analytics and machine learning use cases.
- Insurance, financial services, or highly regulated industry experience with knowledge of data privacy, governance, and enterprise compliance requirements.
Pay Transparency
Salary Range: $124,000-$177,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees’ needs.
Job Requisition ID: 94236
See All 1,190+ Analytics Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Analytics Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Amazon67
- Capital One42
- Bloomberg36
- New York Life31
- Goldman Sachs28
Top Industries Hiring
- Technology & Software469
- Investment & Asset Management178
- Banking & Financial Services100
- Consulting & Professional Services60
- Insurance45
What New York Employers Look For
The qualifications that appear most often in analytics engineer jobs across New York.
- Proficiency in SQL and at least one analytics engineering tool such as dbt
- Experience with cloud data warehouses including Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, statistics, mathematics, or a related field
- Ability to translate complex business requirements into clean, documented data models
- Familiarity with Python or R for data transformation and pipeline automation
- Experience collaborating with data analysts and data scientists in cross-functional teams
Analytics Engineer Jobs in New York: Frequently Asked Questions
How do you become a analytics engineer in New York?
Analytics engineering in New York requires no state-issued license, so the path runs through education and demonstrated technical skill. Most New York employers expect a bachelor's degree in computer science, statistics, or a related quantitative field, along with hands-on experience with SQL, dbt, and a cloud data warehouse. New York City's dense fintech and media-tech sectors strongly favor candidates who can show a portfolio of data models or transformation pipelines, and completing a recognized data engineering certification adds weight to applications at larger firms.
How much do analytics engineers make in New York?
Analytics engineers in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in New York?
Employers hiring analytics engineers in New York right now include Amazon, Capital One, and Bloomberg, based on current listings on Migrate Mate as of June 2026. New York's concentration of financial institutions, advertising technology companies, and large media organizations means demand is especially consistent for engineers who understand high-volume transactional data and real-time reporting pipelines.
Which New York cities have the most analytics engineer jobs?
New York, New York, and New York City account for the most analytics engineer openings in New York. New York City dominates because of its density of financial services firms, ad tech companies, and enterprise software headquarters, while Buffalo and Albany attract demand from healthcare systems, state government technology offices, and regional insurers that have built out modern data infrastructure in recent years.
Are there remote analytics engineer jobs in New York?
Yes, and more than most fields. Analytics engineering is a desk-based, tool-driven discipline that translates well to remote work, making it one of the more remote-accessible roles in the data profession. About 33% of analytics engineer openings tied to New York are remote or hybrid as of June 2026, reflecting how broadly New York employers have adopted flexible arrangements for data roles. The parts of the job most commonly done remotely are data modeling, documentation, and code review, while on-site presence is more often expected during stakeholder alignment or platform migrations.
How can I get hired as a analytics engineer in New York with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role, since New York employers regularly promote or convert analysts who demonstrate proficiency with dbt and SQL into junior analytics engineer positions. Large New York financial institutions and media companies often run structured associate data programs that accept recent graduates without prior engineering experience. Building a public portfolio of dbt projects or contributing to open-source data tooling strengthens applications considerably, and completing a cloud platform certification such as Snowflake SnowPro Core signals readiness to New York hiring teams looking for candidates who can ramp quickly.
Where can I find and apply to analytics engineer jobs in New York?
You can find and apply to analytics engineer jobs in New York on Migrate Mate, which lists current openings in the state. Search the listings to find roles that match your experience level, preferred location, and technical stack, then apply directly to the ones that fit.
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