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Virtual Data Analyst Jobs in Hackensack, NJ (NOW HIRING)

Meta

Data Engineer, Product Analytics

New York, NY

$114K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

American Express

Manager - Data Analytics

New York, NY · On-site

... analytical approaches, and influence strategic decisions through data. Success in this role ... Flexible working model with hybrid, onsite or virtual arrangements depending on role and business ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

This could include roles such as data analyst, data scientist, data engineer, or similar positions ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

iCapital

Data Analytics - Associate

New York, NY · On-site +1

$100K - $135K/yr

Prior experience in business analyst and/or project management roles Benefits The base salary range ... virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the ...

iCapital

Data Analytics - Associate

New York, NY · On-site

$100K - $135K/yr

Prior experience in business analyst and/or project management roles Benefits The base salary range ... virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Experience with Snowflake Virtual Warehouse (VWH) and data modeling. * Experience working in CI/CD ... Experience supporting data analytics, reporting, or business intelligence functions within the ...

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Virtual Data Analyst information

See Hackensack, NJ salary details

$37K

$89.8K

$147.8K

How much do virtual data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for virtual data analyst in Hackensack, NJ is $89,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What is a virtual data analyst?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What does a virtual data analyst do?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What skills and qualifications are needed to thrive as a virtual data analyst?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Hackensack, NJ?

The most popular types of Data Analyst jobs in Hackensack, NJ are:

What are popular job titles related to Virtual Data Analyst jobs in Hackensack, NJ?

For Virtual Data Analyst jobs in Hackensack, NJ, the most frequently searched job titles are:

What job categories do people searching Virtual Data Analyst jobs in Hackensack, NJ look for?

The top searched job categories for Virtual Data Analyst jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Virtual Data Analyst jobs?

Cities near Hackensack, NJ with the most Virtual Data Analyst job openings:

Virtual Data Analyst jobs near you
Infographic showing various Virtual Data Analyst job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,829 per year, or $43.2 per hour.

Data Engineer, Product Analytics

Meta

New York, NY

$114K/yr

Full-time

Re-posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
  • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
  • Design, build and launch new data models and visualizations in production, leveraging common development toolkits
  • Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
  • Support existing processes running in production and implement optimized solutions with limited guidance
  • Define and manage Service Level Agreements for data sets in allocated areas of ownership

Minimum Qualifications:
  • 2+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$114,000/year to $173,000/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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