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Data Analytics Jobs in Galloway, NJ (NOW HIRING)

Work on a team of developers, analysts, and consultants focused on data acquisition and migration * Perform data acquisition techniques for gathering system requirements * Extract data from a wide ...

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

Work on a team of developers, analysts, and consultants focused on data acquisition and migration * Perform data acquisition techniques for gathering system requirements * Extract data from a wide ...

Sr. Financial / Program Manager

NJ · On-site

$95K - $175K/yr

Other duties as assigned Data Analytics & Reporting * Maintain data integrating cost, schedule, and programmatic data from FAA financial systems and scheduling tools * Apply SQL-based queries, data ...

Data Engineer

Cedar Brook, NJ · On-site +1

$113K - $136K/yr

PURPOSE As a Data Engineer, you will accelerate new airline onboarding by ingesting heterogeneous airline systems and external sources, and turning them into trusted data for OCCam, SITA's AI-powered ...

Senior Data Engineer

Cedar Brook, NJ · On-site +1

$104K - $142K/yr

Collaborate with data architects, scientists, analysts, and business stakeholders across the Air Transport Industry totranslate requirements into technical solutions. * Apply modern technologies (e.g ...

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Data Analytics information

See Galloway, NJ salary details

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How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Galloway, NJ is $55.47, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $62.84 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What job categories do people searching Data Analytics jobs in Galloway, NJ look for? The top searched job categories for Data Analytics jobs in Galloway, NJ are:
What cities near Galloway, NJ are hiring for Data Analytics jobs? Cities near Galloway, NJ with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Galloway, NJ as of August 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $115,371 per year, or $55.5 per hour.

Data Analyst (Network Security)

Noblis

Atlantic City, NJ • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Noblis is a company that addresses critical missions for federal clients through advanced solutions. They are seeking a Data Analyst specialized in Network Security to analyze and validate large datasets, support cybersecurity initiatives, and collaborate with various technical teams to enhance security operations.
Responsibilities:
• Analyze large volumes of network, security, and operational data to identify trends, anomalies, potential security risks, and compliance issues.
• Develop and maintain scripts and automated processes to collect, transform, validate, and report on security-related data.
• Utilize advanced Microsoft Excel capabilities, including pivot tables, formulas, lookups, Power Query, and data modeling techniques to support analysis and reporting requirements.
• Perform data integrity assessments to verify the accuracy, completeness, and consistency of network and security datasets.
• Reconcile data across multiple systems and sources to identify discrepancies and ensure data reliability.
• Analyze and validate network security configurations, firewall rules, routing information, VPN configurations, access controls, vulnerability data, and asset inventories.
• Support cybersecurity teams by validating security control data, configuration records, system inventories, and vulnerability management information.
• Create dashboards, reports, metrics, and data visualizations that provide insight into security posture, network performance, and compliance status.
• Identify opportunities to improve data quality, reporting accuracy, and operational efficiency through automation and process improvement.
• Support Federal cybersecurity initiatives by ensuring data used for compliance, reporting, and risk management aligns with applicable standards and requirements.
• Assist with assessments related to technology modernization efforts, network transitions, security enhancements, and infrastructure upgrades.
• Collaborate with cybersecurity, network engineering, infrastructure, and program management teams to support security operations and continuous monitoring activities.
• Communicate technical findings, trends, and recommendations to both technical and non-technical stakeholders.
Qualifications:
Required:
• Bachelor's degree in Cybersecurity, Information Technology, Telecommunications, Data Analytics, Computer Science, or a related technical field.
• 0-5 years of experience in cybersecurity, network security, security operations, technical data analysis, or related IT disciplines.
• Strong data analysis skills with the ability to assess large datasets for accuracy, completeness, consistency, and security relevance.
• Experience using scripting languages such as Python, PowerShell, Bash, or similar tools to automate data collection, validation, transformation, and reporting.
• Advanced Microsoft Excel skills, including pivot tables, complex formulas, lookups, Power Query, data validation, and reporting.
• Ability to analyze and validate network security data, including firewall rules, network configurations, access controls, vulnerability data, and asset inventories.
• Understanding of core networking concepts, including TCP/IP, routing, switching, VPNs, firewalls, IDS/IPS technologies, and WAN/LAN environments.
• Knowledge of telecommunications infrastructure and networking technologies, including IPv4 and IPv6.
• Familiarity with Federal cybersecurity frameworks and standards, including NIST RMF, FISMA, and NIST SP 800-53 Rev. 5.
• Ability to identify data discrepancies, anomalies, and potential security risks through quantitative analysis and technical review.
• Strong written and verbal communication skills with the ability to present findings and recommendations to technical and non-technical audiences.
• U.S. Citizen or Green Card Permanent Resident with a minimum of three (3) years of U.S. residency.
• Ability to obtain and maintain an FAA Public Trust.
Preferred:
• Experience supporting federal government programs, preferably within the FAA, Department of Transportation, or other civilian federal agencies.
• FAA or transportation sector experience preferred.
• Experience performing data integrity assessments and validating security-related datasets used for compliance, risk management, auditing, or operational decision-making.
• Hands-on experience analyzing network security data, including firewall policies, routing information, VPN configurations, security monitoring outputs, vulnerability data, and asset inventories.
• Experience developing scripts and automation solutions to improve data quality, reporting accuracy, operational efficiency, and security reporting.
• Familiarity with vulnerability management, asset management, configuration management, and continuous monitoring programs.
• Knowledge of Zero Trust Architecture (ZTA), defense-in-depth principles, Security Orchestration, Automation and Response (SOAR), and modern cybersecurity practices.
• Familiarity with network virtualization technologies, including Network Functions Virtualization (NFV), SD-WAN, and cloud-based networking concepts.
• Ability to evaluate security and operational data within large-scale, mission-critical, or safety-critical environments.
• Experience supporting security documentation efforts, including System Security Plans (SSPs), risk assessments, POA&Ms, and continuous monitoring artifacts.
• Experience collaborating with engineers, program managers, cybersecurity teams, infrastructure teams, and government stakeholders.
• Familiarity with data visualization and reporting tools such as Power BI, Tableau, Splunk, ELK, or similar platforms.
• Industry certifications such as CISSP, Security+, CCNA, CySA+, Network+, SSCP, GSEC, or equivalent certifications.
• Strong written, verbal, analytical, and interpersonal communication skills, with the ability to present technical findings and recommendations to diverse audiences.
Company:
Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems. Founded in 1996, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.