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Data Reporting Analyst Jobs in Slidell, LA (NOW HIRING)

Process and analyze large-scale geospatial datasets * Create data visualization and reporting solutions * Conduct exploratory data analysis * Develop and maintain analytical pipelines * Collaborate ...

Supports data & analytics internal and external education initiatives. * Coordinates internal ... Liaises with leadership and end users to report and escalate risks. * Develops, maintains, and ...

Supports data & analytics internal and external education initiatives. * Coordinates internal ... Liaises with leadership and end users to report and escalate risks. * Develops, maintains, and ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications. * Data Modeling: Develop and implement data models and schemas ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications. * Data Modeling: Develop and implement data models and schemas ...

Data Architect 2

New Orleans, LA · On-site

$61.25 - $78.75/hr

Develop, support, and optimize the data warehouse to facilitate reporting and analysis of enterprise data. Responsible for analyzing source system data, building processes to provide data cleansing ...

Analyst, Asebestos

New Orleans, LA · On-site

$22 - $24/hr

Accurately enters and reports analytical data using the LIMS * Performs independent data reviews for other analysts' work * Performs analysis of reference materials, proficiency samples and other ...

Analyst, Asebestos

New Orleans, LA · On-site

$22 - $24/hr

Accurately enters and reports analytical data using the LIMS * Performs independent data reviews for other analysts' work * Performs analysis of reference materials, proficiency samples and other ...

Prepares financial reports by collecting, formatting, and analyzing data to help understand and forecast sales, gross margin, and expense trends. * Builds financial databases by identifying sources ...

Prepares financial reports by collecting, formatting, and analyzing data to help understand and forecast sales, gross margin, and expense trends. * Builds financial databases by identifying sources ...

Prepares financial reports by collecting, formatting, and analyzing data to help understand and forecast sales, gross margin, and expense trends. * Builds financial databases by identifying sources ...

Showing results 21-40

Data Reporting Analyst information

See Slidell, LA salary details

$13

$34

$52

How much do data reporting analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data reporting analyst in Slidell, LA is $34.17, according to ZipRecruiter salary data. Most workers in this role earn between $25.82 and $42.31 per hour, depending on experience, location, and employer.

What does a data reporting analyst do?

A Data Reporting Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions. They develop and maintain reports, dashboards, and visualizations to present findings to stakeholders clearly and effectively. Their work often involves using tools like Excel, SQL, and business intelligence platforms to extract insights and identify trends. In addition to technical skills, Data Reporting Analysts need strong communication abilities to explain complex data in understandable terms.

What are the key skills and qualifications needed to thrive as a data reporting analyst?

To thrive as a Data Reporting Analyst, you typically need strong analytical abilities, proficiency in data visualization, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Microsoft Excel, Tableau, or Power BI, as well as experience with database management systems, is highly valued. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable Data Reporting Analysts to provide accurate, actionable reports that inform business decisions and drive organizational success.

How does a data reporting analyst typically collaborate with other departments within an organization?

Data Reporting Analysts frequently work cross-functionally, partnering with teams such as finance, marketing, operations, and IT to gather requirements, understand business objectives, and ensure the accuracy of reports. They often act as a bridge between technical data systems and non-technical stakeholders, translating complex data findings into actionable insights. Regular meetings, project updates, and collaborative data validation are common, making strong communication skills essential for success in this role.

What is the difference between Data Reporting Analyst vs Data Analyst?

AspectData Reporting AnalystData Analyst
Required SkillsData visualization, reporting tools, SQLData analysis, statistical skills, SQL
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
Common CertificationsMicrosoft Power BI, Tableau certificationsGoogle Data Analytics, SAS certifications

While both roles involve working with data, Data Reporting Analysts primarily focus on creating reports and dashboards to communicate insights, whereas Data Analysts perform deeper data analysis, interpret trends, and provide strategic recommendations. The roles often overlap, but the Reporting Analyst emphasizes visualization and reporting tools, making them essential for presenting data to stakeholders efficiently.

Is a data reporting analyst a well paid job?

Data reporting analysts typically earn competitive salaries that vary by experience, industry, and location. Entry-level positions may start lower, but with skills in data visualization tools like Tableau or Power BI and proficiency in SQL, salaries can increase significantly with experience and certifications. Overall, it is considered a well-paying role within the data and analytics field.

What are popular job titles related to Data Reporting Analyst jobs in Slidell, LA?

For Data Reporting Analyst jobs in Slidell, LA, the most frequently searched job titles are:

What job categories do people searching Data Reporting Analyst jobs in Slidell, LA look for?

The top searched job categories for Data Reporting Analyst jobs in Slidell, LA are:

What cities near Slidell, LA are hiring for Data Reporting Analyst jobs?

Cities near Slidell, LA with the most Data Reporting Analyst job openings:

Infographic showing various Data Reporting Analyst job openings in Slidell, LA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,075 per year, or $34.2 per hour.

$74K/yr

Full-time

Re-posted 8 days ago


U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

100th of 297 rated public sector bodies


Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. Transcripts required.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Transcripts required.Employment Type: OTHER

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About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003