ZipRecruiter

Log In

2

Remote Sql Data Analyst Jobs in Baton Rouge, LA (NOW HIRING)

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

micro1 AI

Pharmacovigilance Expert

Baton Rouge, LA · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

DataAnnotation

FP&A Manager - AI Trainer

Baton Rouge, LA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

TEKsystems

Altera Lab Systems Analyst

Baton Rouge, LA · Remote

$75 - $80/hr

Pluses would be Data Innovations and reference lab build. Skills Horizon, McKesson, Lab, CP ... remote position. Application Deadline This position is anticipated to close on Aug 5, 2026. About ...

Dutch

Virtual Care Veterinarian (Remote)

Baton Rouge, LA · Remote

$50 - $80/hr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

previous pagenext page

Showing results 21-40

All JobsSql Data Analyst JobsRemote Sql Data Analyst JobsRemote Sql Data Analyst Jobs in Baton Rouge, LA

Remote Sql Data Analyst information

See Baton Rouge, LA salary details

$32.6K

$79.4K

$130.6K

How much do remote sql data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote sql data analyst in Baton Rouge, LA is $79,354.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,100.00 per year, depending on experience, location, and employer.

What is a remote SQL data analyst?

A Remote SQL Data Analyst is a professional who works offsite to collect, process, and analyze data using SQL (Structured Query Language). They use SQL to query databases, generate reports, and provide insights that help organizations make data-driven decisions. This role often involves collaborating with other team members virtually, cleaning and organizing large datasets, and building dashboards or visualizations. Remote SQL Data Analysts need strong analytical skills, proficiency in SQL, and the ability to communicate complex findings clearly.

What are the key skills and qualifications needed to thrive as a remote SQL data analyst?

To thrive as a Remote SQL Data Analyst, you need strong analytical skills, proficiency in SQL, and a solid background in data management or statistics, typically supported by a relevant degree. Expertise in database systems (such as MySQL, PostgreSQL, or SQL Server), data visualization tools (like Tableau or Power BI), and sometimes certifications like Microsoft Certified: Data Analyst Associate are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help analysts interpret data accurately and share insights with remote teams. These skills ensure data-driven decision-making, effective collaboration, and the ability to deliver actionable insights from large datasets in a virtual work environment.

How do remote SQL data analysts typically collaborate with cross-functional teams despite working offsite?

Remote SQL Data Analysts often use communication and project management tools such as Slack, Microsoft Teams, or Jira to stay connected with colleagues in different departments. Regular virtual meetings, screen-sharing sessions, and collaborative documentation help facilitate data sharing and ensure alignment on project goals. Building strong relationships with stakeholders and maintaining clear, proactive communication are key to overcoming the challenges of working remotely while delivering accurate and timely insights.

What are the most commonly searched types of Sql Data Analyst jobs in Baton Rouge, LA?

The most popular types of Sql Data Analyst jobs in Baton Rouge, LA are:

What are popular job titles related to Remote Sql Data Analyst jobs in Baton Rouge, LA?

For Remote Sql Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Remote Sql Data Analyst jobs in Baton Rouge, LA look for?

The top searched job categories for Remote Sql Data Analyst jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Remote Sql Data Analyst jobs?

Cities near Baton Rouge, LA with the most Remote Sql Data Analyst job openings:

Remote Sql Data Analyst jobs near you
Infographic showing various Remote Sql Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $79,354 per year, or $38.2 per hour.

AI Engineer

Kobie Marketing

Baton Rouge, LA • Remote

Full-time

Re-posted 27 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 
 
·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 
 
Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role. 
 

About the team and what we’ll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.