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Remote Data Optimization Jobs in Louisiana (NOW HIRING)

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ...

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Experience in RetrievalAugmented Generation (RAG) design, optimization, and troubleshooting ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

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 ...

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 ...

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 ...

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 ...

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 ...

$195K - $425K/yr

With over 150 data centers across more than 20 countries globally, we offer unparalleled ... Deep understanding of load forecasting, cost optimization, and GIS-based planning. Experience in ...

Analyze and interpret marketing performance data across Club programs and initiatives to identify ... optimization, operational governance, or complex cross-functional initiatives * Bachelor's degree ...

Analyze and interpret marketing performance data across Club programs and initiatives to identify ... optimization, operational governance, or complex cross-functional initiatives * Bachelor's degree ...

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Remote Data Optimization information

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 Louisiana? For Remote Data Optimization jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Louisiana look for? The top searched job categories for Remote Data Optimization jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Data Optimization jobs? Cities in Louisiana with the most Remote Data Optimization job openings:
Infographic showing various Remote Data Optimization job openings in Louisiana as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution.

SEARCH OPTIMIZATION MANAGER - SEO/AEO

Nocturnal Enterprises LLC

New Orleans, LA • Remote

Full-time

Re-posted 16 days ago


Job description

Role Overview

*Fully Remote*

The Search Optimization Manager will own the strategy, roadmap, execution, and measurement of Lido Labs' SEO, GEO, and AEO efforts across our portfolio of brands. This role sits at the intersection of technical SEO, content strategy, analytics, AI search visibility, and conversion-focused digital marketing.

The ideal candidate is a resourceful, hands-on search expert who understands how to improve organic visibility in Google while also preparing our brands for the evolving search landscape, including AI Overviews, LLM-generated answers, answer engines, and zero-click search environments.

This person will work cross-functionally with copywriters, developers, product stakeholders, analytics resources, and marketing leadership to improve discoverability, authority, traffic quality, and revenue contribution from organic, default, and direct channels.

This is an independent contributor role for someone who can set strategy, define KPIs, identify opportunities, build a roadmap, and drive projects through execution.

What You'll Do Search Strategy & Roadmap
  • Own the SEO, GEO, and AEO strategy across Lido Labs brands and digital properties.
  • Build and manage a search optimization roadmap that prioritizes the highest-impact technical, content, and AI visibility opportunities.
  • Define KPIs and reporting frameworks that connect search performance to business outcomes, including revenue, lead quality, conversion rate, and channel growth.
  • Identify opportunities to increase visibility across traditional search, AI Overviews, answer engines, LLMs, and other emerging discovery platforms.
  • Translate search trends, algorithm updates, and AI search changes into actionable recommendations for the marketing team.
Technical SEO
  • Lead technical SEO audits and identify issues related to crawlability, indexation, site architecture, page speed, internal linking, canonicalization, redirects, XML sitemaps, and robots directives.
  • Partner with developers to scope, prioritize, QA, and validate technical SEO improvements.
  • Recommend and support implementation of structured data, schema markup, entity optimization, and other technical enhancements that improve search engine and AI readability.
  • Monitor site health and proactively identify risks or opportunities that may impact organic visibility.
  • Ensure landing pages, templates, and site structures follow SEO/AEO best practices.
Content SEO, GEO & AEO
  • Partner with copywriters and content stakeholders to create content strategies that support keyword visibility, topical authority, and AI extraction.
  • Conduct keyword research, content gap analysis, search intent mapping, and competitive analysis.
  • Develop content briefs and optimization recommendations for new and existing pages.
  • Improve content structure for both human readers and AI systems, including clear definitions, entity-rich sections, comparison content, FAQs, schema opportunities, and citation-ready summaries.
  • Help establish best practices for content that can perform in Google, AI Overviews, ChatGPT, Perplexity, Gemini, and other answer-driven platforms.
  • Support ongoing testing around AI visibility, LLM citation share, and brand presence in generative search results.
Analytics, Reporting & Revenue Accountability
  • Monitor and report on search performance using tools such as Google Analytics, Google Search Console, SearchAtlas, and other SEO/GEO platforms.
  • Track organic, default, and direct channel performance with a focus on revenue growth and business impact.
  • Analyze rankings, impressions, clicks, engagement, conversions, revenue contribution, and content performance.
  • Build recurring reports that clearly communicate what is working, what is changing, and where the next opportunities are.
  • Diagnose traffic or revenue changes and recommend corrective actions.
  • Partner with the Director of Marketing to set measurable goals and evaluate performance against KPIs.
Cross-Functional Execution
  • Work closely with copywriters, developers, analytics, paid media, lifecycle marketing, and leadership to execute search initiatives.
  • Turn strategic recommendations into clear project requirements, briefs, tickets, and implementation plans.
  • Manage multiple projects simultaneously and drive initiatives from discovery through completion.
  • Serve as the internal subject matter expert for search engine optimization, generative engine optimization, answer engine optimization, AI visibility, and modern search best practices.
  • Create playbooks, documentation, and repeatable processes that improve search optimization maturity across the organization.
What You'll Need to Be Successful
  • 4-6 years of hands-on experience in SEO, organic growth, digital marketing, or search optimization.
  • Strong understanding of both technical SEO and content SEO.
  • Experience improving organic visibility, search performance, and conversion outcomes.
  • Familiarity with GEO, AEO, AI Overviews, LLM visibility, answer engines, and emerging AI search trends.
  • Proficiency with Google Analytics, Google Search Console, and SEO platforms such as SearchAtlas, Ahrefs, SEMrush, Moz, Screaming Frog, BrightEdge, Conductor, or similar tools.
  • Ability to conduct technical SEO audits and make recommendations related to crawlability, indexation, site architecture, schema, page speed, and internal linking.
  • Strong content strategy skills, including keyword research, intent mapping, content gap analysis, and on-page optimization.
  • Understanding of structured data, schema markup, E-E-A-T principles, entity optimization, and AI-readable content structure.
  • Strong analytical skills with the ability to connect search performance to revenue, conversions, and business impact.
  • Excellent project management skills and the ability to move work forward independently.
  • Strong communication skills with the ability to explain technical and strategic concepts to non-technical stakeholders.
  • Resourceful, proactive, and comfortable operating in a fast-moving environment with evolving priorities.
Nice to Have
  • Experience working across multiple brands or digital properties.
  • Experience in competitive or compliance-sensitive industries.
  • Experience with WordPress
  • Experience working directly with developers on technical SEO implementation.
  • Experience with AI search tracking, LLM visibility tools, or emerging GEO/AEO platforms.
  • Basic understanding of HTML, CSS, JavaScript, and how front-end development impacts SEO.
  • Experience creating SEO briefs, technical tickets, content playbooks, or executive-facing performance reports.
  • Familiarity with conversion rate optimization and landing page testing.
Who You Are
  • A strategic thinker who can also execute hands-on.
  • A self-starter who does not need to be told what to do next.
  • A strong problem solver who can identify opportunities, prioritize work, and drive projects to completion.
  • A clear communicator who can collaborate with copywriters, developers, and leadership.
  • A data-driven marketer who understands that search performance must connect to revenue.
  • Curious about the future of search and motivated to help brands stay visible as AI changes how people discover information.
  • Comfortable with ambiguity, experimentation, and building new processes from the ground up.
Success in This Role Looks Like
  • Clear SEO/GEO/AEO roadmaps are created, prioritized, and actively executed.
  • Organic, default, and direct revenue contribution grows over time.
  • Technical SEO issues are identified, scoped, and resolved.
  • Content is better structured for Google, AI Overviews, LLMs, and answer engines.
  • Lido Labs brands gain stronger visibility, authority, and discoverability across traditional and AI-powered search environments.
  • Cross-functional teams understand what needs to be done and why it matters.
  • Search optimization becomes a more measurable, accountable, and scalable growth lever for the business.