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Data Analytics Jobs in Galloway, NJ (NOW HIRING)

P17 Solutions LLC

Sr. Financial / Program Manager

NJ · On-site

$95K - $175K/yr

Other duties as assignedData Analytics & ReportingMaintain data integrating cost, schedule, and programmatic data from FAA financial systems and scheduling toolsApply SQL-based queries, data ...

SITA Switzerland Sarl

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 ...

TEKsystems

RF/ Spectrum Engineer

Egg Harbor City, NJ

$62.65/hr

Top Skills' Details 1. RF Spectrum Analysis & Measurement 2. RF Testing, Evaluation & Data Collection 3. RF Systems Engineering & Spectrum Management 4) Data Analysis (MATLAB/Python) Must be W-2 ...

New

TEKsystems

RF/ Spectrum Engineer

Egg Harbor City, NJ · On-site

Top Skills' Details 1. RF Spectrum Analysis & Measurement 2. RF Testing, Evaluation & Data Collection 3. RF Systems Engineering & Spectrum Management 4) Data Analysis (MATLAB/Python) Must be W-2 ...

New

TEKsystems

RF/ Spectrum Engineer

Egg Harbor City, NJ · On-site

Systems Engineering & Strategic Policy o Conduct thorough RF hazard analyses and safety assessments prior to open-air testing. o Translate complex RD/T&E data into performance specification ...

New

TEKsystems

RF/ Spectrum Engineer

Egg Harbor City, NJ

$62.65/hr

Spectrum analyzers (Keysight Fieldfox), RF power sensors, broadband/directional antennas, data analysis/post processing tools • What types of RF data collection and spectrum interference testing ...

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Aug 22, 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 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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Galloway, NJ are hiring for Data Analytics jobs?

Cities near Galloway, NJ with the most Data Analytics job openings:

Data Analytics jobs near you
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.

Regional Director of Revenue Management-Corporate (Atlantic City)

Ceasars Entertainment

Atlantic City, NJ

Full-time

Posted 14 days ago

Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 255 frontline employees who took The Breakroom Quiz

107th of 164 rated casinos

Job description

Caesars Entertainment operates properties across the country and generates over $1.4B in hotel revenue annually. Revenue management is charged with yielding our assets to ensure the enterprise is receiving maximum return on every unit sold based on detailed forecasts of the multiple revenue streams of our customers, booking patterns by distribution outlets, seasonal and competitive dynamics impacting demand, and other key drivers of the business.

The revenue professionals in these roles work directly with Executives across all properties and departments to develop the strategies, tactics, and tools necessary to maximize the yield on each unit sold, including providing timely forecasts and recommendations to identify and maximize revenue opportunities. The qualified candidate is a seasoned revenue management and analytics professional capable of building industry-leading tools and processes while leading an organization with broad geographic coverage. Successful candidates also have strong executive presence, business acumen and presentation skills.

At Caesars Entertainment, Inc., our Team Members create the extraordinary. We are the largest casino-entertainment company in the U.S. and one of the world's most diversified casino-entertainment providers. Since beginning in Reno, Nevada, in 1937, Caesars Entertainment has grown through the development of new resorts, expansions and acquisitions. Our resorts operate primarily under the Caesars, Harrah's, Horseshoe and Eldorado brand names. We focus on building loyalty and value with our guests through a combination of impeccable service, operational excellence and technological leadership. The company is committed to its Team Members, suppliers, communities and the environment through its PEOPLE PLANET PLAY framework.  
Our Caesars family is driven by our Mission, Vision and Values. We take great pride in living these values - Together We Win, All In On Service and Blaze the Trail - every day. Our mission, "Create the Extraordinary". Our vision, "Create spectacular worlds. That immerse, inspire and connect you. We don't perform magic; we create it with excellence. #WeAreCaesars".  If you are ready to create some magic, we invite you to explore our dynamic, yet unique, career opportunities.
  • Must be 21 years of age or older
  • Experience with Microsoft Excel 
  • Experience with Data Analytics tools such as SQL or Power BI 
  • Bachelor's degree in business, Economics, Data Science, Data Analytics, Business Analytics, Engineering, Finance, Revenue Management, Hospitality Administration or in another quantitative field preferred; or equivalent work experience in a related field

ADDITIONAL REQUIREMENTS

  • Knowledge of casino resort hotels a plus 
  • Knowledge of LMS/AS400 preferred 

Business/Functional Results
    Manage a property or set of properties with the goal of maximizing company EBITDA through effective hotel and yield management
    Monitor OTB pace and pricing; adjust and align strategy as needed to achieve goals
    Approach work in a structured manner to ensure ad-hoc requests or analyses do not interfere with execution of daily, weekly and monthly critical tasks for each hotel
    Ensure full development, optimization and utilization of critical RM and non-RM systems
    When performance falls below expectations, identify root cause of shortfall; leverage other analytic groups as needed. Socialize root cause and align stakeholders on mitigating strategies to correct performance problems.
    Meet deadlines and communicate with all stakeholders proactively to manage and mitigate risk

Analyze, Clean, and Visualize Data
    Drive informed, evidence-based decision making to ensure optimal outcomes
    Improve operational efficiency to allow time to solve complex problems
    Gain deeper insights into consumer behavior to help identify trends and predict future outcomes

Leadership / Managing Execution
    Anticipate market demand environment and develop strategies that deliver the most profitable mix of customers
    Find and develop opportunities for incremental EBITDA-generation across the Enterprise
    Recognize shifts in market demand environment and pivot quickly to adjust strategies. Align critical departments to ensure flawless execution.

Building Relationships
    Foster strong relationships with key departments: property leadership, casino marketing, hospitality marketing, marketing analytics, e-commerce, distribution, leisure sales, group sales, F&B management
    Build effective working relationships with property and pod leadership. Ensure leadership understands the value of revenue management activities and are aligned on strategies to achieve goals.
    Sell ideas persuasively and influence without direct authority
    Keep property Revenue Managers aware of conflicts and decisions that have material impact on results

Learning/Applying Personal Expertise
    Actively pursuing learning and self-development to enhance personal and professional growth.
    Seek and welcome feedback. Take action to enhance performance based on experience & coaching.
 

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