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Data Analytics Jobs in Kitty Hawk, NC (NOW HIRING)

Logistics and data analysis are the key to keeping the USCG's aircraft fleet operational and ready for the challenge. If you want to grow your skills in planning, modeling, forecasting and applying ...

Logistics and data analysis are the key to keeping the USCG's aircraft fleet operational and ready for the challenge. If you want to grow your skills in planning, modeling, forecasting and applying ...

Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business ...

Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business ...

... analysis of departmental operating procedures and the development of electronic ... data processing systems. The role includes monitoring networks, designing software applications ...

Reduce and analyze flight test data, chase down anomalies, and recommend engineering or corrective action.* Write clear, defensible test reports and supporting technical documentation.* Review test ...

You will be responsible for collecting and analyzing a variety of intelligence data, and processing, tracking and inputting warrants into the National Crime Information Center (NCIC) database. Duty ...

... data in flight. • Reduce and analyze flight test data, chase down anomalies, and recommend engineering or corrective action. • Write clear, defensible test reports and supporting technical ...

... data in flight. • Reduce and analyze flight test data, chase down anomalies, and recommend engineering or corrective action. • Write clear, defensible test reports and supporting technical ...

Revenue Manager

Nags Head, NC · On-site

$80K - $100K/yr

Analyze pacing, market data, and booking velocity to anticipate opportunities before competitors react. * Deliver monthly performance reviews with clarity, transparency, and insight - translating ...

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Data Analytics information

See Kitty Hawk, NC salary details

$22

$49

$86

How much do data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics in Kitty Hawk, NC is $49.92, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $56.54 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 Kitty Hawk, NC are hiring for Data Analytics jobs?

Cities near Kitty Hawk, NC with the most Data Analytics job openings:

Junior Logistician, SAS

asrcfh

Elizabeth City, NC • On-site

Full-time

Re-posted 16 days ago


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

242nd of 452 rated engineering


Job description

Agile Decision Sciences (ADS), a wholly owned subsidiary of  ASRC Federal is seeking a Junior Logistician with an aptitude for Data Analytics (SAS, Power BI, Tableau, Python or R) to join our team supporting the US Coast Guard's Aviation Logistics Center.  Logistics and data analysis are the key to keeping the USCG's aircraft fleet operational and ready for the challenge.  If you want to grow your skills in planning, modeling, forecasting and applying supply chain concepts, join a mission that keeps our country safe, apply today.   

Requirements:

  • BA/BS in one of the following:  Supply Chain, Logistics, Industrial Engineering, Business, Engineering, or Information Systems Management OR
  • BA/BS degree in any field with 2 years of current logistics experience OR 4 years of logistics experience and an Associate's degree or HS Diploma.
  • Internship or classroom training with the life cycle of a product (aircraft product desired)
  • Experience or classroom training with provisioning, internal allocation, distribution and delivery.
  • Experience or classroom training with statistical analysis or modeling.
  • Experience with statistical analysis tools or programming languages such as SAS strongly preferredSPSS, Python or R is a plus.
  • Any experience in formulating, planning and executing supply optimization using mathematical models is a plus.
  • US Citizenship is required for the clearance.

Responsibilities:

  • Evaluating the entire life cycle of a product, but primarily focused on the following elements:
    • provisioning 
    • internal allocation (sparing quantity and locations)
    • demand forecasting
    • supply planning
    • final disposal (identifying obsolescence)
  • Formulate, plan, & execute supply optimization using mathematical models, planning software, recurring reports, and visualization that provide management the ability to improve operational readiness and asset availability.
  • Draft business case analysis with stated forecasting variables and sensitivity analysis to provide different courses of actions for mission support and sustainment decisions.
  • Develop a working knowledge of modeling and forecasting methodologies, software and programming languages used in the industry.
  • Will learn how to develop project timelines, monitor work completion, and drafting effective communication.  



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