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Data Analyst Jobs in Long Beach, MS (NOW HIRING)

ECS

MetOcean Data Analyst I

MS · On-site

Everforth ECS is seeking an entry level MetOcean Data Analyst I to work onsite at Stennis Space Center, MS. This is an entry level position and will be supporting The National Data Buoy Center, (NDBC ...

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Data Analyst information

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$33.7K

$82K

$134.9K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Long Beach, MS is $81,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Long Beach, MS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,973 per year, or $39.4 per hour.

MetOcean Data Analyst I

ECS

MS • On-site

Full-time

Posted 29 days ago

Job description

Everforth ECS is seeking an entry level MetOcean Data Analyst I to work onsite at Stennis Space Center, MS.
This is an entry level position and will be supporting The National Data Buoy Center, (NDBC) is a part of the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS).
NDBC designs, develops, operates, and maintains a network of global data collecting buoys and coastal stations.
NDBC is located in southern Mississippi at the John C. Stennis Space Center, a National Aeronautics and Space Administration (NASA) facility.
This role is based primarily onsite, with a portion of the time spent working remotely.
  • Background or experience in analyzing meteorological and oceanographic observations (e.g. winds, atmospheric pressure, temperatures) in the marine environment and identifying observational errors of all types.
  • Familiarity of operating characteristics of automated monitoring systems and the ability to recognize system performance anomalies.
  • Some experience with scientific programming and analysis tools.
  • Experience with Microsoft Excel and other MS Office products as well as Google Suite applications.
  • Strong communication and customer service skills.
  • A BS degree in Meteorology, Oceanography, or Physical Earth Sciences.
  • Strong written communication skills with the ability to draft clear, professional, and well-structured materials.
  • Excellent organizational and multitasking skills to manage varied workloads efficiently.

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