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Remote Data Optimization Jobs in Baton Rouge, LA

EnthuZiastic

Growth Hacker - Remote

Baton Rouge, LA · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Mondo

Digital Strategist

Baton Rouge, LA · Remote

$25K/mo

Remote Start Date: Mid-August Duration: Contract, 3 months (September - November), potential ... Monitor and enhance SEO performance using intermediate to expert-level practices * Make content and ...

Lindsay & Brownell

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and ... Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

Eisneramper Llp

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and ... Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents

FMOLHS

Manager Coding Physician Group

Baton Rouge, LA · Remote

Interviews, coaches, counsels' staff to ensure optimal work product and productivity. Coordinates ... Trends data and makes operational changes for improvement in compliance with the practice quality ...

All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Baton Rouge, LA

Remote Data Optimization information

See Baton Rouge, LA salary details

$15

$54

$78

How much do remote data optimization jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for remote data optimization in Baton Rouge, LA is $54.55, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $64.62 per hour, depending on experience, location, and employer.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are popular job titles related to Remote Data Optimization jobs in Baton Rouge, LA? For Remote Data Optimization jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Baton Rouge, LA look for? The top searched job categories for Remote Data Optimization jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Data Optimization jobs? Cities near Baton Rouge, LA with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,472 per year, or $54.6 per hour.

Growth Hacker - Remote

EnthuZiastic

Baton Rouge, LA • Remote

Full-time

Re-posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

User Acquisition:

  • Develop and execute strategies to acquire new users, customers, or leads through various channels, such as SEO, social media, content marketing, email marketing, and paid advertising.

Conversion Rate Optimization:

  • Identify areas of the user journey with conversion bottlenecks and devise experiments to optimize conversion rates, including A/B testing and landing page optimization.

Product Development:

  • Collaborate with product teams to improve user experience, optimize product features, and iterate based on user feedback to drive growth.

Customer Retention:

  • Develop strategies to increase customer retention and reduce churn through engagement, loyalty programs, and targeted communication.

Data Analysis:

  • Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance.

  • Use data-driven decisions to guide growth strategies and experiments.

Viral Marketing:

  • Create and implement strategies to encourage users to refer others to the product or service through viral marketing techniques.

Content Marketing:

  • Develop and distribute high-quality content that educates, informs, and engages the target audience, driving traffic and brand awareness.

Experimentation:

  • Plan and execute rapid, iterative experiments to test growth hypotheses and identify effective strategies.

  • Continuously refine and scale strategies based on experiment results.

Marketing Automation:

  • Implement marketing automation tools and workflows to streamline and personalize user communication and engagement.

Budget Management:

  • Manage and allocate budgets effectively across various growth channels, ensuring a positive return on investment.

Reporting and Analysis:

  • Provide regular reports on growth performance, including key metrics and insights to relevant stakeholders.
Requirements

Digital Marketing Expertise:

  • Proven experience in digital marketing, with a deep understanding of various marketing channels and tools.

Analytical Skills:

  • Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms.

Technical Proficiency:

  • Familiarity with marketing automation tools, A/B testing platforms, web analytics, and data visualization tools.

Creativity:

  • Ability to think creatively and develop unique strategies to achieve growth.

Communication Skills:

  • Effective communication skills for collaborating with cross-functional teams and presenting findings and strategies to stakeholders.

Entrepreneurial Mindset:

  • A proactive and entrepreneurial spirit with a willingness to take calculated risks and adapt to changes.

Adaptability:

  • Ability to stay updated with the latest trends in marketing and technology and adapt strategies accordingly.

Project Management:

  • Strong project management skills to handle multiple growth initiatives simultaneously.

Experience with Startups:

  • Experience working in a startup environment or high-growth company is often preferred.

Continuous Learning:

  • A commitment to ongoing learning and professional development in growth hacking.
Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup.

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes.

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

  • Fun-loving environment and caring team mates and inclusive culture of the company.

Apply