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Data Analyst Engineer Jobs in New York (NOW HIRING)

... seasonal programming, and retail for all ages. It's also home to some of the area's most sought ... Support senior leaders with ad hoc analysis to support decision-making. Data & Dashboard ...

Data Analyst/Finance Analyst Location: 333 Earle Ovington Blvd, Uniondale, NY Duration: 3- Months ... BA or BS Degree preferably in Math/Econ, Engineering, Computer Science or Finance or equivalent ...

Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting outcomes reporting in a non-profit, education setting, or healthcare ...

Experience with programming languages used for data analysis and automation (e.g., R, Python) preferred. * Experience conducting outcomes reporting in a non-profit, education setting, or healthcare ...

New

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus Powered by JazzHR Z8TdorkT0r

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... TRANSPORTATION SPECIALIST - 22316 Qualifications 1. A master's degree in transportation engineering ...

Data Analyst

Manhattan, NY · On-site

$90K - $100K/yr

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... TRANSPORTATION SPECIALIST - 22316 Qualifications 1. A master's degree in transportation engineering ...

Data Analyst

Manhattan, NY · On-site

$500 - $800/hr

EXL Analytics provides data-driven, action-oriented solutions to business problems through ... Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations ...

The candidate will primarily assist with data analysis to support the Unit's Transit Signal ... TRANSPORTATION SPECIALIST - 22316 Qualifications 1. A master's degree in transportation engineering ...

Data Analyst

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Partner with Data Engineers toalign onlogic and data source integration. * Define and implement ...

Familiarity with dbt and modern analytics engineering principles * Highly skilled in both written ... Fluency in supply chain concepts and data #LI-DD1 #LI-Hybrid

Data Analyst

Manhattan, NY

  • Medical

  • Retirement

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare ... Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 ...

Data Analyst

Manhattan, NY · On-site

$40/hr

FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company ... Math, Physics, Engineering, or related quantitative field * Experience in SQL and Excel are ...

Data Analyst

New York, NY · On-site

  • Medical

  • Retirement

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare ... Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 ...

Data Analyst

Manhattan, NY

  • Medical

  • Retirement

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare ... Strong quantitative skills and advanced programming skills in Stata, SAS, and/or R; At least 2 ...

Data Analyst

New York, NY · On-site

$118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Participate in testing, validation, production support, and release activities Required Qualifications * * 6-10 years of Data Analysis, Data Integration, Data Engineering, or related experience

Showing results 41-60

Data Analyst Engineer information

See New York salary details

$37.2K

$90.4K

$148.8K

How much do data analyst engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst engineer 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.

How does a data analyst engineer typically collaborate with other teams to deliver insights?

Data Analyst Engineers often work closely with cross-functional teams such as product managers, software engineers, and business stakeholders. They gather requirements, interpret business needs, and translate them into technical data solutions. Effective communication and regular meetings are key, as Data Analyst Engineers must ensure their analyses align with team objectives and that data-driven insights are actionable. This collaborative environment not only enhances project outcomes but also provides valuable exposure to different perspectives and business strategies.

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

AspectData Analyst Engineer
Primary FocusCombines data analysis with engineering tasks to prepare and analyze data for insights
Skills & CertificationsData analysis, SQL, Python, data visualization, some data engineering tools
Work EnvironmentCollaborates with data teams, business units, often in analytics or product teams
Tools & TechnologiesSQL, Python, R, BI tools, ETL pipelines

While Data Analyst Engineers focus on analyzing and preparing data for insights, Data Engineers primarily build and maintain data infrastructure. Data Analyst Engineers bridge analysis and engineering, making them versatile for data-driven decision-making.

What is a data analyst engineer?

A Data Analyst Engineer is a professional who combines the skills of data analysis and data engineering to collect, process, and analyze large datasets. They design and maintain data pipelines, ensure data quality, and use analytical tools to extract actionable insights from data. Their work supports business decision-making by providing clear, data-driven recommendations. Data Analyst Engineers often collaborate with data scientists, software engineers, and business stakeholders to optimize data workflows and reporting.

What are the key skills and qualifications needed to thrive as a data analyst engineer, and why are they important?

To thrive as a Data Analyst Engineer, you need a solid background in statistics, data modeling, and programming languages such as Python or SQL, often backed by a degree in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), database management systems, and certifications such as Microsoft Certified: Data Analyst Associate are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills ensure accurate data analysis, impactful reporting, and alignment with business objectives.
Infographic showing various Data Analyst Engineer 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.

Full-time

Posted 5 days ago


Job description

About the Job

Our Destination & Experiences Portfolio brings together everything that makes our landmark destination an iconic and essential part of a major metropolitan city. For decades, our destination has been a place where the city’s energy, creativity, and spirit come alive—offering world-famous attractions, award-winning dining, legendary live entertainment, seasonal programming, and retail for all ages. It’s also home to some of the area’s most sought-after event venues, from historic dining rooms to rooftop gatherings overlooking prime commercial corridors.

As part of the team, you’ll help shape unforgettable experiences at one of the most beloved destinations in the world—where locals and visitors come to connect, explore, and celebrate.

Position Summary

The Associate, Analytics & Insights will join the Destination & Experiences team, working closely with leaders for the portfolio of owned and operated businesses across Attractions, Hospitality/Restaurants, and Partnerships.

The Associate will support the team’s business analytics and performance function, helping to analyze key drivers of growth, monitor performance, and support day-to-day decision-making. This is a business-facing role first, with responsibility for delivering accurate, timely insights and supporting executive-level updates and materials.

In parallel, the Associate will play a critical role in building a more scalable analytics capability—developing dashboards, working with data models, and leveraging AI-enabled tools to automate reporting and improve efficiency. This role requires both strong business judgment and hands-on technical capability.

Key Responsibilities

Business Analytics & Performance Support

  • Support analytics across operating businesses, including Attractions, Hospitality/Restaurants, and Partnerships.

  • Analyze key performance drivers including revenue, demand, pricing, conversion, and guest behavior.

  • Build and maintain weekly and monthly performance reporting.

  • Support performance reporting, forecasting, pacing analysis, and sales team incentive plans.

Executive Support & Structured Problem Solving

  • Prepare executive updates, summaries, and CEO-ready presentations.

  • Structure business problems and translate data into clear, actionable insights.

  • Support senior leaders with ad hoc analysis to support decision-making.

Data & Dashboard Development

  • Build and maintain dashboards (e.g., Tableau, Power BI) used by operators and leadership.

  • Write and maintain SQL queries to support reporting and analysis.

  • Work with datasets across ticketing, CRM, POS, and financial systems.

  • Validate data outputs and support reconciliation with Finance and Accounting.

Automation & AI Enablement

  • Use Python, SQL, and/or automation tools to streamline reporting and analysis.

  • Leverage AI tools (e.g., LLMs, agent-based workflows, automation platforms) to reduce manual work and improve speed.

  • Identify opportunities to automate recurring reporting and build reusable workflows.

  • Support experimentation with new tools to improve productivity and insight generation.

Cross-Functional Coordination

  • Partner with teams across Operations, Sales, Marketing, Revenue Management, Finance & Accounting.

  • Support cross-functional initiatives impacting multiple businesses.

  • Ensure alignment between operational metrics and financial reporting.

Skills & Qualifications

  • 2–4 years of experience in strategy consulting, analytics, data science, or a related field.

  • Outstanding academic achievement from a top-tier university.

  • Ability to manage multiple workstreams in a fast-paced environment.

  • Strong communication skills and attention to detail.

Technical Requirements

  • Strong proficiency in SQL (must be able to write and troubleshoot queries independently).

  • Experience with data visualization tools (Tableau, Power BI, or equivalent).

  • Working knowledge of Python or other scripting/automation tools.

  • Comfort working with structured and unstructured data from multiple systems.

  • Proficiency with AI tools, automation, and a keen interest in emerging technologies.

Analytical & Business Skills

  • Strong structured problem-solving and analytical thinking.

  • Advanced proficiency in Excel and PowerPoint (ability to build executive-ready materials).

  • Ability to translate data into business insights and recommendations.

Who Thrives In This Role

  • A former consultant or analyst who also enjoys building, not just analyzing.

  • Someone comfortable moving between data, tools, presentations, and business questions.

  • A self-starter who identifies inefficiencies and automates them.

  • A candidate interested in growing into a data, analytics, or business leadership role.