1

Data Analyst Data Science Jobs in Newark, NJ (NOW HIRING)

What You Bring • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field. • Bachelor''s degree in Data Analytics, Data Science ...

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

This role is part of a small team of Data Scientists/Analysts building up the Data platform to support the commercial needs of a research organization. The Ideal Candidate Is * Committed to fostering ...

Senior Analysts, Data Science

New York, NY · On-site

$94K - $118K/yr

American Express Travel Related Services Company, Inc. seeks Senior Analysts, Data Science to review existing data systems designs based on analyzed data to help streamline data reporting processes.

... Data Science, Statistics, Applied Mathematics, or another quantitative field * 2+ years of industry work experience as an analyst, data scientist, or equivalent * Experience with training and ...

Manager, Data Science

Manhattan, NY · On-site

$150 - $190/hr

As a member of the Data Analytics team, you will partner closely with Product, Engineering, and ... The Data Science team develops machine learning solutions, recommendation systems, experimentation ...

This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding, predictive modeling, and AI-powered initiatives that help clients solve complex business ...

This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding, predictive modeling, and AI-powered initiatives that help clients solve complex business ...

Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) * Problem-solving aptitude * Excellent communication and presentation skills * BSc/BA in Computer Science ...

Data Science Tutor

Summit, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Hempstead, NY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Clifton, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Yonkers, NY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Analyst II

Manhattan, NY · On-site

$93.60 - $117/hr

Our Data Scientists, Analysts, and Engineers work together to make data - and insights derived from data a core asset across the company. What you'll do As a Data Analyst II (DA), you will play a ...

Data Science Tutor

Jersey City, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Showing results 41-60

Data Analyst Data Science information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

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

As of Sep 6, 2026, the average yearly pay for data analyst data science in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 per year, 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 Newark, NJ?

For Data Analyst Data Science jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Newark, NJ look for?

The top searched job categories for Data Analyst Data Science jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Data Analyst Data Science jobs?

Cities near Newark, NJ with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Newark, NJ as of June 2026, with employment types broken down into 4% As Needed, 78% Full Time, 8% Part Time, 4% Temporary, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $86,419 per year, or $41.5 per hour.

Other

Posted 19 days ago


Key responsibilities

  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.

  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.

  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.


Job description

About the Role
We''re looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.
This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You''ll work with data from AWS, Azure, and Google Cloud Platform (Google Cloud Platform), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.
If you''re energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.
What You''ll Do
• Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
• Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
• Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
• Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
• Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
• Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
• Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
• Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
• Measure the impact of FinOps and optimization initiatives to quantify business value.
• Communicate findings clearly to both technical and non-technical audiences, including senior leadership.
What You Bring
• 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
• Bachelor''s degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
• Experience working with large, complex datasets and translating analysis into practical business recommendations.
• Knowledge of AWS, Azure, and Google Cloud Platform cloud services, billing structures, and consumption models.
• Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
• Proficiency in Python, R, or other analytical programming languages.
• Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
• Understanding of data modeling, governance, data quality, and business performance metrics.
• Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.
Preferred Certifications
Candidates with certifications in the following areas will be especially attractive:
• FinOps
• Cloud Platform Certification (AWS, Azure, or Google Cloud Platform)
• Data Analytics / Business Intelligence
• AI or Machine Learning
Why This Role Stands Out
This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You''ll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It''s an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.
At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.
Work Environment
• Professional office environment
• Occasional non-standard work hours based on business needs
At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
What''s In It For You?
• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It''s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.
Don''t meet every single requirement? Apply anyway.
At TD SYNNEX, we''re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you''re excited about working for our company and believe you''re a good fit for this role, we encourage you to apply. You may be exactly the person we''re looking for!
We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.
TD SYNNEX is an E-Verify company
Skills:
Accounting, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Billing, Budgeting, Business Intelligence, Capacity Management, Channel Strategies, Chargebacks, Cloud Computing, Communication Skills, Computer Science, Cost Allocation, Customer/Client Research, Data Analysis, Data Modeling, Data Quality, Data Science, Data Sets, Decision Support, Demand Forecasting/Planning, Diversity, Economics, Energy Efficiency, Expense Analysis, Finance, Financial Operations, Forecasting, Google Cloud Platform (Good Clinical Practices), Information Technology & Information Systems, Leadership, Licensing, Machine Learning, Mathematics, Metrics, Microsoft Windows Azure, Multiplatform/Cross-Platform, Onboarding, Operations Planning, Operations Processes, Performance Management, Performance Metrics, Predictive Modeling, Problem Solving Skills, Process Improvement, Programming Languages, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Resource Utilization, Risk Analysis, Sales, Scalable System Development, Scorecarding, Seminars, Software Engineering, Statistics, Strategic Planning, Team Building, Team Lead/Manager, Trend Analysis