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Data Analytics Masters Jobs in New York (NOW HIRING)

RWJBarnabas Health

Data Analyst

West Orange, NJ

$68K - $97K/yr

Masters degree preferred in Informatics, Health Data Analytics, or a related field * Experience with Tableau and/or other Business Intelligence and visualization tools Scheduling Requirements ...

RWJBarnabas Health

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Masters degree preferred in Informatics, Health Data Analytics, or a related field * Experience with Tableau and/or other Business Intelligence and visualization tools Scheduling Requirements ...

RWJBarnabas Health

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Masters degree preferred in Informatics, Health Data Analytics, or a related field * Experience with Tableau and/or other Business Intelligence and visualization tools Scheduling Requirements ...

RWJBarnabas Health

Data Analyst

West Orange, NJ

$68K - $97K/yr

Masters degree preferred in Informatics, Health Data Analytics, or a related field * Experience with Tableau and/or other Business Intelligence and visualization tools Scheduling Requirements ...

RWJBarnabas Health

Data Analyst

West Orange, NJ · On-site

$68K - $97K/yr

Masters degree preferred in Informatics, Health Data Analytics, or a related field * Experience with Tableau and/or other Business Intelligence and visualization tools Scheduling Requirements ...

Datadog

FP&A Analyst - Data Insights

New York, NY · Hybrid

Interest in data analytics and experience using SQL, Python, R, or other data science tools ... * MBA or CFA is a plus but not required; * Solid understanding of Pigment or other FP&A software ...

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All JobsData Analytics Masters JobsData Analytics Masters Jobs in New York

Data Analytics Masters information

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$25.7K

$111.9K

$200.1K

How much do data analytics masters jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics masters in New York is $111,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,515.00 and $145,951.00 per year, depending on experience, location, and employer.

What is a data analytics master?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

What is a data analytics master's degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

What are the key skills and qualifications needed to thrive as a data analytics master?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What types of real-world projects or collaboration opportunities can a data analytics master expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization tools. It often leads to higher salaries and more senior positions, but the value depends on individual career goals and industry demand.

What can I do with a master's in data analytics?

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These roles involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What are popular job titles related to Data Analytics Masters jobs in New York?

For Data Analytics Masters jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Analytics Masters jobs in New York look for?

The top searched job categories for Data Analytics Masters jobs in New York are:

What cities in New York are hiring for Data Analytics Masters jobs?

Cities in New York with the most Data Analytics Masters job openings:

Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in New York as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $111,910 per year, or $53.8 per hour.

Director - Analytics Consulting (Pharma)

Tiger Analytics Inc.

Jersey City, NJ • On-site

Full-time

Re-posted 13 days ago

Key responsibilities

  • Work on applying data science techniques to solve business problems in Pharma and Lifescience domains.

  • Translate business problems into analytics solution designs and present findings to stakeholders.

  • Manage client relationships, scale pilots to long-term programs, and deliver ongoing business value.

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • Experience in generating insights from reports and summarizing for brand teams
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

  • 14 - 18 years of professional work experience with at least 10 years in data analytics
  • Strong experience working on Patient Services
  • Experience in building product suite for Global Access and Value team
  • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Strong knowledge of Life Science and Pharma domain
  • Experience in specialty drug and rare diseases
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau
  • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy
  • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends
  • Experience in building and maintaining reports, with a focus on optimizing effort through automation
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.