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Remote Data Analyst Python Jobs in Franklin, TN (NOW HIRING)

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Background in analytics, BI, or data engineering. Core Tech Stack: * Cloud: AWS (e.g., Lambda, S3, ECS/Fargate, API Gateway) * Data warehouse: Snowflake (SQL, semantic layers) * Languages: Python ...

... and sensitive data from evolving cyber threats. In this fully remote role, you'll work with ... Strong analytical, troubleshooting, and incident response skills. * Excellent communication and ...

Experience with one or more programming languages such as Python, JavaScript, Java, or C# ... Strong analytical, problem-solving, and communication skills. * Ability to work independently in a ...

Showing results 41-60

Remote Data Analyst Python information

See Franklin, TN salary details

$33.6K

$81.6K

$134.3K

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

As of Sep 7, 2026, the average yearly pay for remote data analyst python in Franklin, TN is $81,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What are popular job titles related to Remote Data Analyst Python jobs in Franklin, TN?

For Remote Data Analyst Python jobs in Franklin, TN, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Python jobs in Franklin, TN look for?

The top searched job categories for Remote Data Analyst Python jobs in Franklin, TN are:

AI Engineer

BPD

Nashville, TN • On-site, Remote

$110K - $132K/yr

Full-time

Posted 24 days ago


Key responsibilities

  • Build and improve LLM-powered analytics features, including agentic workflows, natural-language querying, retrieval-augmented generation, and tool-use over structured and unstructured data.

  • Contribute to text-to-SQL and semantic-layer systems to enable non-technical users to query healthcare datasets accurately and safely.

  • Develop retrieval pipelines over document stores, implement evaluation and guardrails for model accuracy, and enforce data-governance and compliance controls in the AI layer.


Job description

Our offices in Boca Raton, FL and Nashville, TN are where we come together for collaboration, education, and celebrations, and we're looking for teammates who can join us in person for those meaningful moments.
Reports to: VP, Data Products & Technology
Years Experience: 2-4 Years
Department: Data Solutions & Analytics
The Position:
We're hiring a mid-level AI Engineer to help build and scale the AI systems behind Violet and our broader analytics platform called ThirdBase. You'll work hands-on with large language models, retrieval systems, and healthcare data- building features that turn a governed warehouse of claims, referrals, HCP engagement, and campaign performance into trustworthy, compliant, natural-language analytics. You'll own well-defined components end-to-end and grow into larger systems, with support from senior engineers and clear technical direction.
The Responsibilities:
Includes, but not limited to the following:
  • Build and improve LLM-powered analytics features - agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data.
  • Contribute to text-to-SQL and semantic-layer systems that let non-technical users query complex healthcare datasets accurately and safely.
  • Develop retrieval pipelines over document stores (vector search, hybrid keyword + semantic).
  • Implement evaluation, guardrails, and hallucination checks - accuracy on domain data is non-negotiable in healthcare.
  • Help enforce data-governance and compliance controls in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls).
  • Integrate multiple tools and data sources (warehouse, campaign platforms, web, document repositories) into agent workflows.
  • Deploy and maintain services on AWS, and monitor model performance, latency, and cost.
  • Collaborate with product, analytics, and senior engineers to translate requirements into shipped features.
The Essentials:
Required
  • 2-4 years building production software, including some hands-on experience with LLM/GenAI applications (RAG, agents, or text-to-SQL) - through work, internships, or substantial personal projects.
  • Solid Python and SQL; comfort querying a cloud data warehouse (Snowflake a plus).
  • Working knowledge of AWS and deploying services in the cloud.
  • Substantive experience in LangGraph, CrewAI, n8n, or other agentic frameworks
  • Experience in AI-assisted coding and CICD processes.
  • Familiarity working with Node, React, or other javascript frameworks
  • Exposure to retrieval systems, embeddings, or vector search.
  • Experiments-driven design using evaluation harnesses for change management
  • Understanding of prompt engineering and LLM guardrails - a sense of how to make model outputs reliable, not just functional.
  • Awareness of data privacy and compliance basics and willingness to build to them.
  • Ability to own a feature or component end-to-end and collaborate across a team.

Nice to Have
  • Any experience with healthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another regulated data domain.
  • Familiarity with HIPAA / PHI-PII constraints or de-identified / derived-insights data models.
  • Exposure to agent orchestration frameworks and multi-tool workflows.
  • Basic MLOps/LLMOps: monitoring, cost/latency optimization.
  • Background in analytics, BI, or data engineering.
Core Tech Stack:
  • Cloud: AWS (e.g., Lambda, S3, ECS/Fargate, API Gateway)
  • Data warehouse: Snowflake (SQL, semantic layers)
  • Languages: Python (primary), SQL
  • AI/ML: LLMs (OpenAI/Anthropic-class models, incl. Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use, skills
  • Data domains: healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement, campaign/media performance, survey/primary research
  • Data & document tooling: vector databases, hybrid search, integrations with platforms like Egnyte and Google Drive
  • Analytics libraries: pandas and modern data-analysis/plotting tooling
  • Governance: compliance-aware data access, PII/PHI handling, source citation
The Vision:
BPD is a strategic growth partner that delivers the future to healthcare's leading brands. We provide fully integrated solutions - branding, marketing, communications, and business consulting - which are technology-enabled, AI-infused, and supported by our proprietary data platform. All to ignite greatness in our clients and bring better health to more people. Our clients range from the largest health systems to prestigious academic medical centers to leading healthcare innovators. For more information on BPD, visit www.bpdhealthcare.com.
Unified BPD unites our diverse backgrounds and perspectives into a stronger collective-one that fosters a more inclusive, impactful future for our people, our clients, and healthcare as a whole. Guided by ongoing reflection and learning, we respect every race, ethnicity, gender expression, sexual identity, ability, and life experience.
As BPDerrrs, we:
  • Celebrate and value what makes each of us unique;
  • Unite around our shared purpose to ignite greatness in those we serve and, by extension, help them improve the health to the communities they serve;
  • Lead through inclusive work that authentically connects with all consumers and champions health equity for all
  • Lean into honest dialogue, acknowledging that building a diverse workforce, fostering belonging, and creating the best, most inclusive work for our clients and their communities is an ongoing journey.

This commitment ignites our organization's greatness and grounds the brilliant work we do for our clients and communities.
BPD is proud to be an Equal Opportunity employer. BPD recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status, or citizenship status.