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Data Analyst Computer Science Jobs in Lyndhurst, NJ

Meta

Data Analyst, Global Operations

New York, NY · On-site

$125K/yr

As a data analyst in global operations, you'll have the opportunity to combine your analytical ... Bachelor's degree in a quantitative discipline such as Computer Science, Data Science, Statistics ...

Forhyre

Data Scientist

New York, NY · On-site

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

WebMD

Data Analyst

Newark, NJ · On-site

A bachelor's degree in computer science, information systems, statistics or a related discipline, or 1-2 years of experience in data analysis * 1-2 years working knowledge of at least one of Google ...

UJA

Fundraising Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

Education Bachelors in Data Analytics / Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or similar field is required. If you're passionate about data visualization and ...

AllSTEM Connections

Data Analyst

Manhattan, NY · On-site

$54K - $85K/yr

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field (or equivalent experience). • Experience Baseline: 3-5 years of professional experience in Data ...

Tatari

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 ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Tatari

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 ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

adMarketplace

Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

Bachelor's degree in a quantitative or relevant field (e.g., Business, Computer Science, Economics ... Department Product Role Data Analyst Locations New York Yearly salary $70,000 - $90,000

Jetro Restaurant Depot

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 ...

WebMD

Data Analyst

Newark, NJ · On-site

A bachelor's degree in computer science, information systems, statistics or a related discipline, or 1-2 years of experience in data analysis * 1-2 years working knowledge of at least one of Google ...

ExlService Holdings, Inc.

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 ...

Jetro / Restaurant Depot

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 ...

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Technical Data Analyst Location: Jersey City, NJ Must Have Qualifications: * 5-6 years of ... Bachelor's degree in Computer Science, Information Systems, Finance, Engineering, Mathematics, or a ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Lyndhurst, NJ

Data Analyst Computer Science information

See Lyndhurst, NJ salary details

$34.6K

$84.1K

$138.5K

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

As of Sep 7, 2026, the average yearly pay for data analyst computer science in Lyndhurst, NJ is $84,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

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

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

Data Analyst Computer Science jobs near you

Data Analyst, Global Operations

Meta

New York, NY • On-site

$125K/yr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Partner with operational, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions

  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta

  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$125,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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