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Senior Data Analyst Machine Learning Jobs in Reserve, LA

Pwc

AI Solutions Engineering Delivery Lead

New Orleans, LA · On-site

$98K - $129K/yr

... data science and machine learning engineering at PwC will focus on leveraging advanced analytics ... As a senior technical leader, you will leverage deep technical specialization, strategic vision ...

Pwc

Data Engineer - Senior Associate

New Orleans, LA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Focused on relationships, you are building meaningful client connections, and learning how to ...

Pwc

NGA AI Engineer Manager

New Orleans, LA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

Data Engineer - Senior Associate

New Orleans, LA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Reserve, LA

Senior Data Analyst Machine Learning information

See Reserve, LA salary details

$54.9K

$99K

$135.2K

How much do senior data analyst machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior data analyst machine learning in Reserve, LA is $99,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $108,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.
Senior Data Analyst Machine Learning jobs near you

Grantee Evaluation Coordinator/Data Analyst

Louisiana Community and Technical College System

New Orleans, LA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Grantee Evaluation Coordinator/Data Analyst
Job no: 495352
Work type: Staff Full-Time
Location: New Orleans, LA
Categories: Workforce Development & Education
College: DCC
Department: Workforce Development & Education
Sub department: Workforce Development & Education
Type of Appointment: Unclassified - Administrative/Staff
Duties and Responsibilities:
The Grantee Evaluation Coordinator/Data Analyst will be responsible for the GNOIP's participant data collection and tracking. Data collection will occur with Delgado Community College programs and with the SCC4 grant sub awardees. The Coordinator will work with the college partners to develop processes to efficiently and effectively capture student participation and student outcome data required for WIPS (Workforce Integrated Performance System) processing. This will include routine meetings with sub awardees to discuss data processes, monthly monitoring of internal and external data collection, and follow-up on any missing or incomplete data. The Coordinator will also serve as a liaison to the National Study Team and support the team in obtaining grantee signatures for an evaluation data use agreement. Tasks include regular communication with the National Study Team, coordination of data requests from the evaluation team, and communication with sub awardees on evaluation team needs. For all data collected, the data analyst will review to ensure completeness and quality, and will follow up with institutions where there are questions or issues with the data.
The coordinator will also collaborate with the external evaluation coordinator on the required developmental evaluation, as well as the Good Jobs and Equitable Employment Outcomes data review and analysis process. This will include meeting with the external evaluation team, providing an overview of data processes and collections, and assisting in data sharing for the external evaluation.
Required Education: BA in data science/analytics, evaluation, statistics, computer science or related field
Required Experience: 3-5 year experience in higher education and workforce development using and entering data into an ERP system; working knowledge of Banner, CRIS, and tracking student learning outcomes through other government systems
Preferred Education: Masters in data science/analytics, evaluation, statistics, computer science or related field
Preferred Experience: 3-5 year experience in higher education and workforce development using and entering data into an ERP system, including 1-3 years experience in evaluation and/or higher education assessment; working knowledge of Banner, CRIS, and tracking student learning outcomes through other government systems; highly skilled in organization, communication and problem solving
Benefits: As a member of the Louisiana Community and Technical College System, DCC has an attractive benefits package with a wide variety of benefit options. Benefits offered include retirement, multiple medical insurance options, supplemental insurances (dental, term life, disability, accident, vision, etc.), Tax Saver Flexible Benefits Plan (saves tax dollars on some child care and medical expenses), holidays (14 per year, typically includes longer break at Christmas), generous annual (vacation) and sick leave benefits and Employee Assistance Program. Specific benefits depend on job category, percent effort and length of employment.
Passing pre-employment criminal background screen is required as a condition of employment. DCC is a State As a Model Employer (SAME) agency that supports improved employment opportunities for individuals with disabilities.
Advertised: 05 Jan 2026 Central Standard Time
Applications close: 31 Aug 2026 Central Daylight Time
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