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Data Analytics Jobs in Lafayette, LA (NOW HIRING)

Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The ...

The GSS Data Analyst identifies opportunities to improve service delivery, implements standard work, and manages risk during service delivery. This person monitors the well to provide timely and ...

The GSS Data Analyst identifies opportunities to improve service delivery, implements standard work, and manages risk during service delivery. This person monitors the well to provide timely and ...

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Enterprise ...

APPLICATIONS ANALYST, FT

Lafayette, LA ยท On-site

$60 - $80/hr

Analytics & Reporting: Strong ability to analyze data and generate meaningful reports/visualizations. Expert-level use of Microsoft Excel (pivot tables, formulas, charts) and solid experience with ...

Bachelor's degree in Finance, Business Admin, Data Analytics or similar required * 0 to 2 years as a Finance/Business Analyst preferred * Computer skills (MS Suite) Advanced Microsoft Excel skills

Bachelor's degree in Finance, Business Admin, Data Analytics or similar required * 0 to 2 years as a Finance/Business Analyst preferred * Computer skills (MS Suite) Advanced Microsoft Excel skills

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Data Analytics information

See Lafayette, LA salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics in Lafayette, LA is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.02 and $59.23 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 are the most commonly searched types of Data Analytics jobs in Lafayette, LA?

The most popular types of Data Analytics jobs in Lafayette, LA are:

What cities near Lafayette, LA are hiring for Data Analytics jobs?

Cities near Lafayette, LA with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Lafayette, LA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 95% In-person, 2% Hybrid, and 3% Remote job distribution, with an average salary of $108,747 per year, or $52.3 per hour.

GSS Data Analyst

AA2IT

New Iberia, LA โ€ข On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
AA2IT is seeking a GSS Data Analyst to deliver safe, efficient, and reliable PSD to customers. The role involves monitoring well data, maintaining equipment, and compiling reports while ensuring compliance with safety policies.
Responsibilities:
โ€ข Monitor well data and ensure accuracy
โ€ข Maintain sensors and data acquisition equipment
โ€ข Compile End of Well Reports, daily logs, and ad hoc reports
โ€ข Ensure compliance with HSE policies and procedures
Qualifications:
Required:
โ€ข Minimum 4 years of relevant experience
โ€ข Strong well control and well monitoring background
โ€ข Proficient computer skills
โ€ข Strong teamwork and schedule flexibility
โ€ข Bachelor's degree required
โ€ข Must pass fit-for-duty medical (per onboarding requirements)
โ€ข Must comply with all offshore safety protocols
Preferred:
โ€ข Deepwater experience preferred
โ€ข Geoscience degree preferred
โ€ข TWIC card
โ€ข RigPass / SafeGulf
โ€ข HUET
Company:
Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The company is currently Growth Stage.