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Entry Level Data Analyst 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 ...

New

Pwc

Data Engineer - Senior Associate

New Orleans, LA

$77K - $202K/yr

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

Deloitte

Expense Fraud Analyst

New Orleans, LA · On-site

Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct. * Preparing case summaries, findings, and recommendations for ...

Pwc

AI Engineer

New Orleans, LA · On-site

$55K - $187K/yr

... data analysis to identify patterns and trends for informed decision-making - Collaborating with ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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 Analyst information

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

As of Aug 5, 2026, the average hourly pay for entry level data analyst 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 does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Covington, LA? The most popular types of Data Analyst jobs in Covington, LA are:
What cities near Covington, LA are hiring for Entry Level Data Analyst jobs? Cities near Covington, LA with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Covington, LA as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% 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

Posted yesterday

New

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 position is an onsite position.
  • 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.

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