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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Join Tech @ Ro to build the future of healthcare, from the ground up!
At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.
We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.
At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.
…and we’re just getting started.
As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:
- Solve complex, high-concurrency problems across a full-stack platform
- Build and ship quickly with tight feedback loops and real-world impact
- Own systems end-to-end, from architecture to production performance
- Work alongside experienced operators, technical leaders, and clinicians
- Help define how modern healthcare should be delivered
We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.
If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.
The Role
2) training non-data stakeholders to more efficiently and effectively interact with our data stack.
What You'll Do
- For the first 2-3 months, embed with a stakeholder team to dive into day-to-day analyst work, build stakeholder relationships, and develop business fluence
- Build foundational data models, semantic models, documentation, and context that power conversational analytics across a variety of data domains (growth, product, business metrics, operations etc.)
- Approach opaque, unstructured problems by developing core analytic frameworks and standardized semantic models that shape the way the company thinks about our business
- Communicate and collaborate with different stakeholders to identify opportunities and build solutions that standardize our data approach to common problems across the company
- Teach and guide stakeholders on best practices for using LLMs for their own data needs, and distill what works into reusable training materials
- Develop and maintain AI evaluations for conversational analytics, tracking accuracy programmatically and building stakeholder feedback loops
What You’ll Bring to the Team
- 4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT
- Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows
- Expert-level SQL skills
- Experience using BI tools (ours are Hex and Looker) to effectively convey information
- Strong communication and teaching skills
- Strong problem solving skills, analytical aptitude, and numerical dexterity
- Demonstrated track record of project ownership
Nice-to-haves
- Experience with AI evaluation of LLM tools
- Experience developing data pipelines and processes
- We are open to data analysts with demonstrable interest and project experience who are looking to make the transition to analytics engineer
The target base salary for this position ranges from $137,300 to $166,000 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.
Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.
Join Tech @ Ro to build the future of healthcare, from the ground up!
At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients.
We’re building a new system. One where the patient is in control. One designed from scratch for the digital age.
At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.
…and we’re just getting started.
As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to:
- Solve complex, high-concurrency problems across a full-stack platform
- Build and ship quickly with tight feedback loops and real-world impact
- Own systems end-to-end, from architecture to production performance
- Work alongside experienced operators, technical leaders, and clinicians
- Help define how modern healthcare should be delivered
We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it.
If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.
The Role
2) training non-data stakeholders to more efficiently and effectively interact with our data stack.
What You'll Do
- For the first 2-3 months, embed with a stakeholder team to dive into day-to-day analyst work, build stakeholder relationships, and develop business fluence
- Build foundational data models, semantic models, documentation, and context that power conversational analytics across a variety of data domains (growth, product, business metrics, operations etc.)
- Approach opaque, unstructured problems by developing core analytic frameworks and standardized semantic models that shape the way the company thinks about our business
- Communicate and collaborate with different stakeholders to identify opportunities and build solutions that standardize our data approach to common problems across the company
- Teach and guide stakeholders on best practices for using LLMs for their own data needs, and distill what works into reusable training materials
- Develop and maintain AI evaluations for conversational analytics, tracking accuracy programmatically and building stakeholder feedback loops
What You’ll Bring to the Team
- 4+ years of full-time working experience in quantitative analysis roles, with a portion of that time focused on data modeling in DBT
- Hands-on experience using LLMs for coding and analytics, going beyond asking simple questions and building data products through LLM workflows
- Expert-level SQL skills
- Experience using BI tools (ours are Hex and Looker) to effectively convey information
- Strong communication and teaching skills
- Strong problem solving skills, analytical aptitude, and numerical dexterity
- Demonstrated track record of project ownership
Nice-to-haves
- Experience with AI evaluation of LLM tools
- Experience developing data pipelines and processes
- We are open to data analysts with demonstrable interest and project experience who are looking to make the transition to analytics engineer
The target base salary for this position ranges from $137,300 to $166,000 in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.
Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.
See All 45 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
Top Industries Hiring
- Technology & Software
- Insurance
- Science & Research
- Banking & Financial Services
- Healthcare & Medical Services
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 Ro, Google, and HARVEY, based on current listings on Migrate Mate as of September 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, Fairport, and Manhattan 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 77% of analytics engineer openings tied to New York are remote or hybrid as of September 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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