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Data Analyst Data Science Jobs in New York (NOW HIRING)

This role partners closely with Analytics, Strategy, Activation, and Data Science teams to solve business problems, develop scalable analytical solutions, and improve the efficiency of recurring ...

Analyze existing data sources to identify data elements, relationships, and inconsistencies. Design ... Science, or Information Systems is required. Candidates should have at least 3 years of experience ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

New York, NY · On-site

$74K - $148K/yr

... data science and machine learning knowledge to help improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. * Develops basic analytical frameworks ...

New

Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field * 3 years of experience ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. * Proven experience as a Data Analyst or in a similar role, with a strong portfolio demonstrating your analytical ...

As a Data Analyst, you will collect, process, and perform statistical analyses on large datasets to ... Data Science, AI, and Cloud Computing. Join our growing team and become part of a company that ...

As a Data Analyst, you will collect, process, and perform statistical analyses on large datasets to ... Data Science, AI, and Cloud Computing. Join our growing team and become part of a company that ...

Bachelor's degree in Finance, Business Analytics, Business, Computer Science, Data Science, or a related field * Experience: 3-5 years of experience as a data or financial analyst; SaaS or Finance ...

Senior Data Analyst, Data Products

Manhattan, NY · On-site

$94K - $119K/yr

Bachelor's degree in a relevant field of study * 5-8 years of experience in a data role, including business intelligence, analytics, data science and/or data engineering * Experience defining ...

Bachelor's degree in a relevant field of study * 5-8 years of experience in a data role, including business intelligence, analytics, data science and/or data engineering * Experience defining ...

Senior Data Analyst, Data Products

Manhattan, NY · On-site

$94K - $119K/yr

Bachelor's degree in a relevant field of study * 5-8 years of experience in a data role, including business intelligence, analytics, data science and/or data engineering * Experience defining ...

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Data Analyst Data Science information

See New York salary details

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$43

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How much do data analyst data science jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analyst data science in New York is $43.50, according to ZipRecruiter salary data. Most workers in this role earn between $31.35 and $52.74 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in New York?

For Data Analyst Data Science jobs in New York, the most frequently searched job titles are:

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

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

Infographic showing various Data Analyst Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,478 per year, or $43.5 per hour.

Senior Analyst, Data Science

Socket.dev

Manhattan, NY • On-site

$73 - $113/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Company Description

Zenith is one of Publicis Groupe’s largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry. Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

Overview

The Senior Analyst is responsible for transforming complex media and audience data into actionable insights through a combination of data wrangling, exploratory analysis, and workflow automation. This role partners closely with Analytics, Strategy, Activation, and Data Science teams to solve business problems, develop scalable analytical solutions, and improve the efficiency of recurring processes. The ideal candidate combines strong technical skills in SQL and Python with deep familiarity with digital media datasets and taxonomies.

Responsibilities
  • Develop complex SQL and Python-based solutions to prepare, transform, and analyze large media and audience datasets.
  • Perform ad hoc analyses to answer business, client, and campaign performance questions.
  • Build and maintain reusable datasets that support reporting, analytics, and strategic decision-making.
  • Design and automate recurring analytical processes and workflows to improve efficiency and scalability.
  • Work extensively with media taxonomies and reporting dimensions including channel, publisher, DSP, creative size, placement, audience, and daypart.
  • Identify data quality issues and implement processes to improve consistency and reliability across datasets.
  • Collaborate with stakeholders to translate ambiguous business questions into analytical approaches and recommendations.
  • Present findings and insights to both technical and non-technical audiences.
  • Document analytical methodologies, data definitions, and workflow processes to support long-term team scalability
Qualifications
  • 2+ years of experience in Analytics, Data Engineering, Marketing Analytics, Media Analytics, or a related field.
  • Advanced proficiency in SQL and Python.
  • Strong experience manipulating, transforming, and analyzing large datasets.
  • Experience building automated workflows, reusable analytical tools, and scalable data processes.
  • Required experience working with digital media data and media taxonomies.
  • Experience with PySpark and cloud-based data environments (Databricks, Snowflake, etc) preferred.
  • Strong problem-solving skills and ability to work independently in ambiguous environments.
  • Excellent communication and presentation skills.
Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Veterans Encouraged to Apply.

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Compensation Range: USD $73,150.00 - USD $112,554.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third‑party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/28/2026.

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