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Data Analytics Jobs in Houma, LA (NOW HIRING)

Logistics Analyst

Thibodaux, LA · On-site

$25 - $27/hr

Analyze supply chain data and ensure smooth movement of materials and goods * Assist in planning, reporting, and compliance within logistics processes Responsibilities * Manage import/export ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Well Testing Data Acquisition Engineer

Houma, LA · On-site

$110K - $132K/yr

This role ensures accurate and reliable collection, transmission, and analysis of real-time data to support operational decision-making. Key Responsibilities: * Manage and operate pressure ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Well Testing Data Acquisition Engineer

Houma, LA · On-site

$110K - $132K/yr

Support field operations by providing data monitoring and analysis. Maintain and calibrate data acquisition equipment as required. Required Skills and Qualifications: Proven ability to manage ...

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Data Analytics information

See Houma, LA salary details

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$91

How much do data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analytics in Houma, LA is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $59.95 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 job categories do people searching Data Analytics jobs in Houma, LA look for?

The top searched job categories for Data Analytics jobs in Houma, LA are:

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

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

Infographic showing various Data Analytics job openings in Houma, LA as of August 2026, with employment types broken down into 5% Internship, 74% Full Time, 16% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,090 per year, or $52.9 per hour.

Senior Manager Analytics & Decision Systems

Bollinger Shipyards

Raceland, LA • On-site

Full-time

Re-posted 6 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title: Senior Manager Analytics & Decision Systems
Location: Remote USA
Position Overview: The Senior Manager Analytics & Decision Systems is responsible for establishing enterprise analytics capabilities that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards. This role leads the strategy, governance, and delivery of enterprise reporting, KPI frameworks, dashboards, and self-service analytics capabilities.
This leader partners closely with IT and business leadership to ensure analytics are aligned to strategic priorities, operational workflows, and enterprise performance management.
Key Responsibilities:
  • Define and lead the enterprise analytics and reporting strategy
  • Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development
  • Lead delivery and ongoing enhancement of enterprise executive dashboards and decision-support tools
  • Oversee development of Power BI dashboards, semantic models, and self-service reporting capabilities
  • Ensure consistency, accuracy, and alignment of operational and financial reporting across the enterprise
  • Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, and accessible data
  • Drive adoption of analytics tools and data-driven decision-making practices across the organization
  • Establish reporting governance, dashboard standards, and analytics development methodologies
  • Prioritize analytics initiatives aligned to business value and operational impact
  • Lead and develop analytics engineering and BI resources
  • Partner with business leaders to identify opportunities for operational improvement through analytics and insight generation
  • Monitor analytics adoption, usage, and effectiveness to ensure measurable business value

Qualifications:
• Bachelor's degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field
• 8+ years of experience in analytics, business intelligence, reporting
• 3+ years of leadership experience
• Proven experience building enterprise analytics programs, KPI frameworks, and reporting capabilities
• Strong experience with Power BI or similar enterprise BI platforms
Skills and Abilities:
Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
• Experience implementing self-service analytics programs
• Familiarity with Azure data and analytics technologies
• Experience supporting operational performance management and forecasting initiatives
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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