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Data Analytics Associate Jobs in Louisiana (NOW HIRING)

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and ... Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred. * Experience ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Execute data transformation and cleansing processes to prepare data for analysis, reporting, and ... Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred. * Experience ...

Amazon

Multi-Site EHS Manager II

Boyce, LA · On-site

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical solutions that protect associates while supporting productivity. Your ability to build relationships and ...

Amazon

Multi-Site EHS Manager II

Boyce, LA

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical solutions that protect associates while supporting productivity. Your ability to build relationships and ...

University of Louisiana at Lafayette

$120 - $180/hr

Associate Vice President for Enrollment Services Department : 3100|Dean of Students ... through data-informed decision making and enrollment analytics. * 15% Enrollment Services ...

New

CROSSMARK1

Retail Data Collection Associate - PT

Houma, LA · On-site

$14.75 - $17/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

CROSSMARK1

Retail Data Collection Associate - PT

Houma, LA · On-site

$14.75 - $17/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Equal Opportunity Employer As a retail data collection associate, you would be a part of our ...

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Showing results 21-40

All JobsData Analytics Associate JobsData Analytics Associate Jobs in Louisiana

Data Analytics Associate information

See Louisiana salary details

$2.8K

$5.4K

$7.7K

How much do data analytics associate jobs pay per month?

As of Aug 8, 2026, the average monthly pay for data analytics associate in Louisiana is $5,379.25, according to ZipRecruiter salary data. Most workers in this role earn between $4,883.33 and $5,733.33 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.
What are the most commonly searched types of Data Analytics jobs in Louisiana? The most popular types of Data Analytics jobs in Louisiana are:
Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,551 per year, or $31 per hour.

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 8 days ago

Job description

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, integration solutions, and data-centric applications. Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key to optimizing data processing, storage, and analysis.

Responsibilities:

  1. Design and Develop Data Pipelines: Partner with cross-functional teams to gather data requirements and create robust, scalable, and reliable data pipelines using Azure Data Factory and other Microsoft tools, ensuring high data quality.

  2. Data Integration: Consolidate data from diverse sources—including databases, APIs, and third-party platforms—into centralized data lakes or warehouses utilizing Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies.

  3. Data Transformation: Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications.

  4. Data Modeling: Develop and implement data models and schemas that align with business needs and industry standards, promoting efficient data access for end-users and applications.

  5. Optimization and Performance Tuning: Regularly monitor and fine-tune data pipelines and processing tasks to enhance performance, reduce latency, and ensure accurate, timely data delivery.

  6. Data Security and Compliance: Enforce data security protocols, including encryption and access controls, to protect sensitive information and maintain compliance with data privacy regulations.

  7. Troubleshooting and Issue Resolution: Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy.

  8. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to address data needs, while maintaining thorough documentation of pipelines, models, and integration workflows.

  9. Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best practices for cost-effective infrastructure management.

  10. Continuous Learning and Improvement: Keep abreast of the latest Azure Data Factory developments and Microsoft technologies, integrating best practices and innovative solutions to continually enhance data engineering processes.

Requirements:

  1. A Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  2. Demonstrated experience as a Data Engineer with a strong emphasis on Microsoft technologies, especially Azure Data Factory.
  3. Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL Database, Azure Synapse Analytics, and Cosmos DB.
  4. Hands-on experience designing and developing data pipelines using Azure Data Factory or comparable ETL/ELT tools.
  5. Solid understanding of cloud-based data storage and processing solutions within the Microsoft Azure ecosystem.
  6. Knowledge of data warehousing principles and data integration methodologies.
  7. Proficiency in programming languages like Python, C#, or Java for data manipulation and automation purposes.
  8. Familiarity with data security protocols and compliance standards related to data management.
  9. Strong analytical and problem-solving abilities with a keen attention to detail.
  10. Excellent communication and collaboration skills, capable of working effectively within cross-functional teams.
  11. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred.
  12. Experience with Microsoft Fabric is a plus but not required.