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Entry Level Data Analysis Jobs in Covington, LA (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 ...

Pwc

AI & GenAI Data Scientist - Manager

New Orleans, LA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SPECTRUM

Entry Level Sales

Slidell, LA · On-site

$27K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

New

HRI Hospitality

Hotel Staff Accountant

New Orleans, LA · On-site

$42K/yr

This entry-level role focuses on the daily administrative and clerical flow of financial data ... Accounting Analyst, Accounting Coordinator, Financial Statements, Excel, GAAP, Entry-Level ...

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Entry Level Data Analysis information

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How much do entry level data analysis jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data analysis in Covington, LA is $28.32, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $31.63 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Covington, LA?

The most popular types of Data Analysis jobs in Covington, LA are:

What job categories do people searching Entry Level Data Analysis jobs in Covington, LA look for?

The top searched job categories for Entry Level Data Analysis jobs in Covington, LA are:

What cities near Covington, LA are hiring for Entry Level Data Analysis jobs?

Cities near Covington, LA with the most Entry Level Data Analysis job openings:

Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Covington, LA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,916 per year, or $28.3 per hour.

MetOcean Data Analyst I

ECS

MS • On-site

Full-time

Re-posted 18 hours 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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