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Data Analyst Jobs in Union, NJ (NOW HIRING)

Persistent Systems

Data Analyst

Manhattan, NY · On-site

The Data Analyst will transform complex operational, financial, customer, product, and program data into accurate, timely, and actionable insights. This role will build trusted datasets, semantic ...

Persistent Systems

Data Analyst

Manhattan, NY · On-site

The Data Analyst will transform complex operational, financial, customer, product, and program data into accurate, timely, and actionable insights. This role will build trusted datasets, semantic ...

E Logic Corp

Data Analyst

New York, NY

E-Logic is seeking a highly analytical and detail-oriented Data Analyst to support a proposed IT Finance & Performance Reporting initiative for the New York City Department of Education (NYC DOE)

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 ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Jersey City, NJ · On-site

As a Data Analyst, you will collect, process, and perform statistical analyses on large datasets to help organizations make informed business decisions. You will be responsible for transforming data ...

Laufer Group International

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

As a Data Analyst for Laufer Group International, your work will directly influence how we optimize operations, improve performance, and scale smarter through data. In this role, you will partner ...

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

Skillify Solutions

Data Analyst

Manhattan, NY · On-site

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 ...

AvePoint

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

Integrated Resources INC

Data Analyst

Newark, NJ · On-site

Data Analyst Location: Newark NJ Duration: 1 year Provide analytical and functional support in the area of work integration, business plan development, budgets, and the balanced scorecard process.

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Our Data Analysts work with diverse data - criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more - to develop our ...

AllSTEM Connections

Data Analyst

Manhattan, NY · On-site

$54K - $85K/yr

Senior People Data Analyst Role Overview We are seeking a Senior People Data Analyst to transform raw organizational data into actionable insights that drive business strategy. You will own the ...

Jetro / Restaurant Depot

Data Analyst

Whitestone, NY

$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 ...

Persistent Systems

Data Analyst

Manhattan, NY · On-site

The Data Analyst will transform complex operational, financial, customer, product, and program data into accurate, timely, and actionable insights. This role will build trusted datasets, semantic ...

Dow Jones

Data Analyst

New York, NY · On-site

$60K - $80K/yr

Role Purpose The Data Analyst will support consumer product analytics across Dow Jones brands, focusing on understanding how users engage with our digital products and how product changes influence ...

YMCA

Data Analyst

Manhattan, NY · On-site

$75 - $80/hr

The Data Analyst works analytically and is required to develop a thorough understanding of the YMCA of Greater New York's strategic objectives, operational portfolio, and community impact. **Key ...

Pharmatek Consulting Inc

Data Analyst

Jersey City, NJ · Hybrid

Data Analyst(Collateral Analysis) Location: Jersey City, NJ Duration: Contract Schedule: Monday - Friday 8:30AM - 5:00PM Hybrid Schedule: (3) Days in Office (Tuesday-Thursday) & (2) Days Remote ...

Candid Health

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Accentuate IT Solutions

Data Analyst

Brooklyn, NY · On-site

... analysis, profiling, and mapping of VSAM files into relational/dimensional SQL tables. - Lead and support data conversion and validation as part of an enterprise-wide legacy system replacement ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Union, NJ

Data Analyst information

See Union, NJ salary details

$34.6K

$84.2K

$138.6K

How much do data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst in Union, NJ is $84,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,800.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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For Data Analyst jobs in Union, NJ, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Union, NJ as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $84,213 per year, or $40.5 per hour.

Data Analyst

Persistent Systems

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Job Description & Responsibilities
Persistent Systems is seeking a Data Analyst to join our team in our New York City headquarters. The Data Analyst will transform complex operational, financial, customer, product, and program data into accurate, timely, and actionable insights. This role will build trusted datasets, semantic models, dashboards, and analyses that help leaders understand performance, identify opportunities, manage risk, and make evidence-based decisions.
The ideal candidate is a disciplined problem solver and an effective "data translator" who can move comfortably between business questions and technical details. They combine strong SQL, data preparation, visualization, statistical reasoning, and stakeholder communication skills with a sharp eye for data quality and user experience.
Position Responsibilities
  • Own analytical work from requirements discovery and source-data assessment through transformation, modeling, validation, visualization, delivery, and ongoing support
  • Partner with leaders and subject-matter experts across Finance, Operations, Marketing, Sales, Product, and other functions to define key performance indicators (KPIs), reporting logic, and success measures
  • Develop reliable, reusable analytics assets and clear documentation so that metrics, assumptions, transformations, and data lineage can be understood and maintained
  • Apply statistical and analytical methods appropriate to the business question, communicate uncertainty and limitations, and distinguish correlation from evidence of causation
  • Promote secure, governed, accessible, and responsible use of data while improving self-service analytics across the organization
  • Design, build, and maintain intuitive dashboards, scorecards, semantic models, and recurring reports using Power BI as the primary platform and Tableau where appropriate
  • Write, review, and optimize complex SQL queries across relational databases, cloud warehouses, and Lakehouse platforms; reconcile results to source systems and explain query logic
  • Clean, profile, map, join, and transform structured and semi-structured data using Power Query, Python/pandas, spreadsheets, and related tools; design fact and dimension models using star-schema principles
  • Build or contribute to repeatable extraction, transformation, and loading workflows using frameworks and platforms such as dbt, Azure Data Factory, Fabric Data Factory, AWS Glue, and Databricks; monitor failures and document lineage
  • Analyze historical and current data to identify trends, drivers, anomalies, risks, and opportunities; perform segmentation, variance analysis, forecasting, cohort analysis, and experiment analysis when relevant
  • Create validation rules, reconciliations, exception reporting, and quality checks; investigate discrepancies, perform root-cause analysis, and coordinate durable fixes with data owners and engineering teams
  • Translate open-ended questions into measurable definitions, source-to-target mappings, acceptance criteria, and analytics plans; establish consistent KPI definitions and a shared business glossary
  • Reduce manual reporting through scheduled refreshes, parameterized workflows, Power Automate, reusable templates, and governed self-service datasets
  • Present concise findings and recommendations to technical and nontechnical audiences, using accessible visual design and clear narrative rather than relying on charts alone
  • Support embedded or custom analytics experiences using JavaScript visualization libraries and component-based charting tools such as Recharts, D3.js, Plotly.js, Chart.js, and shadcn/ui chart components
  • Explore responsible uses of Copilot Studio, Microsoft Foundry, and generative AI frameworks to accelerate discovery, natural-language analytics, documentation, and workflow assistance while validating outputs against trusted data

Job Qualifications & Experience
Minimum Qualifications
  • 2-5 years of professional experience in data analytics, business intelligence, reporting, or a closely related role
  • Bachelor's degree in data science, statistics, mathematics, economics, finance, computer science, information systems, or a related quantitative field, or equivalent practical experience
  • Advanced proficiency in SQL, including joins, common table expressions, window functions, aggregation, query validation, and performance-aware analysis
  • Strong hands-on experience with Power BI, including Power Query, DAX, semantic modeling, interactive report design, refresh strategies, workspace management, and row-level security; comparable Tableau depth is also valued
  • Advanced spreadsheet skills and practical experience reconciling, cleaning, and validating data from multiple sources
  • Working knowledge of dimensional data modeling, KPI design, data dictionaries, ETL/ELT concepts, and source-to-target mapping
  • Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or statistical work
  • Understanding of descriptive statistics, sampling, confidence intervals, hypothesis testing, and common analytical pitfalls
  • Demonstrated ability to gather requirements, manage multiple priorities, communicate findings clearly, and influence decisions with evidence
  • Must have a United States Security Clearance or be able to obtain a United States Security Clearance

Relevant certifications or credentials, such as:
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
  • Tableau Certified Data Analyst
  • Tableau Desktop Specialist certification
  • Experience operating in a regulated, security-sensitive, government, or defense-adjacent environment

Preferred Qualifications
  • Experience with ETL/ELT frameworks and orchestration platforms such as dbt, Azure Data Factory, Fabric Data Factory, AWS Glue, Databricks, or comparable tools
  • Experience building solutions with Power Platform, Power Apps, and Power Automate, including governed connections to enterprise data
  • Experience with Microsoft Copilot Studio and Microsoft Foundry for secure AI-assisted analytics, agent experiences, or workflow augmentation
  • Familiarity with generative AI frameworks such as LangChain, LangGraph, or LlamaIndex and the ability to identify appropriate, verifiable analytics use cases
  • Experience with JavaScript visualization libraries such as Recharts, D3.js, Plotly.js, or Chart.js, including shadcn/ui chart components built on Recharts
  • Experience with cloud data warehouses or Lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, Google BigQuery, or Amazon Redshift
  • Experience with Git, analytics testing, version-controlled SQL or semantic models, CI/CD, and collaborative development practices
  • Experience with data catalogs, lineage, access controls, sensitivity labels, or governance platforms such as Microsoft Purview
  • Experience designing experiments, performing A/B test analysis, building forecasts, or applying regression and other classical statistical methods

The total compensation for this role can vary from $133,000 to $166,000 a year based on individual qualifications. Eligibility for yearly discretionary bonus. Persistent Systems, LLC offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance; paid time off (sick time and vacation time); flexible spending accounts; 401(k) plan with company match; fitness membership reimbursement; tuition assistance; mental health benefits; and pet discounts.
Company Overview
Headquartered in New York City since 2007, Persistent Systems, LLC is a global communications technology company which develops, manufactures, and integrates a patented and secure Mobile Ad Hoc Networking (MANET) system: Wave Relay®. The company's industry leading R&D team has designed wireless networking protocols to support their cutting-edge Wave Relay® system and technology. Wave Relay® is capable of running data, video, voice and other applications under the most difficult and unpredictable conditions. Their suite of products is field proven and utilized in Commercial, Military, Government, Industrial, Agriculture, Robotics, and Unmanned System markets.

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