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Remote Data Analyst Python Jobs in South Carolina

Mindgruve

Media Analyst I

Charleston, SC · On-site +1

We are a global digital agency comprised of strategists, creatives, media experts, data scientists ... eligible for remote work. (Bonus points if you're bilingual in Spanish and/or Portuguese ...

Office of the Secretary

$143K - $187K/yr

Work with data science tools Python, R, SQL, Tableau, Microsoft Power BI, SAS, and cloud platforms (e.g. Azure, AWS). * Lead projects using regression and statistical analysis, machine learning, time ...

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Unum UK

Sr. Data Engineer - CX Analytics

Columbia, SC · Remote

$105K - $127K/yr

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and ...

micro1 AI

Cheminformatics Specialist - Remote

Columbia, SC · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Physics Modeling Expert - Remote

Columbia, SC · Remote

$80 - $140/hr

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

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All JobsData Analyst Python JobsRemote Data Analyst Python JobsRemote Data Analyst Python Jobs in South Carolina

Remote Data Analyst Python information

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 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.

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.

What are popular job titles related to Remote Data Analyst Python jobs in South Carolina?

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

What job categories do people searching Remote Data Analyst Python jobs in South Carolina look for?

The top searched job categories for Remote Data Analyst Python jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Data Analyst Python jobs?

Cities in South Carolina with the most Remote Data Analyst Python job openings:

Remote Data Analyst Python jobs near you

Azure Data & AI Architect - Remote US

eGroup Enabling Technologies

Charleston, SC • On-site, Remote

$135K/yr

Full-time

Re-posted 17 days ago

Job description

eGroup is a remote-first technology consulting organization and Microsoft partner, focused on delivering thoughtful, reliable solutions while building lasting relationships-with our clients and with one another. We are a nine-time Microsoft Partner of the Year award winner, reflecting our deep technical expertise and commitment to excellence. Our people are at the center of our success, and we believe great work happens when employees feel trusted, supported, and respected. We are committed to integrity, collaboration, accountability, and creating an inclusive workplace where individuals can do meaningful work and continue to grow.
eGroup is hiring a Azure Data & AI Architect to design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).
This is a hands-on consulting role - approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre-sales support.
You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non-technical stakeholders.
  • This role is not research-only, prompt-only, or slideware-focused. You will be expected to ship real solutions.
  • This role is client-facing. Clear, timely communication and follow-through are part of the job.
  • We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn't show what you built, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.
Key Responsibilities
Lead End-to-End Solution Delivery
  • Own delivery end-to-end: requirements → architecture → design → build → test → deployment
  • Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release

Architect AI Solutions
  • Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
  • Emphasize security, governance, and real-world usability over experimentation for its own sake

Develop Modern Data Platforms
  • Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
  • Deliver production-grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads

Leverage Automation & Power Platform (Bonus Skill)
  • Use Power Platform (Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value
  • Power Platform experience is a plus, not the primary focus

Collaborate Across Teams
  • Partner with engineers and business stakeholders to translate requirements into buildable designs
  • Coordinate with security and governance teams to ensure solutions meet best practices and client constraints

Client Engagement & Communication
  • Communicate architecture decisions - including tradeoffs - in plain language
  • Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change

Innovation & IP Development
  • Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning
  • Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

Pre-Sales Support (As Needed)
  • Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

Required Qualifications
Experience
  • 10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
  • Clear evidence of personal ownership - you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise
  • Hands-on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric

Architecture Judgment
  • Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
  • Practical operational mindset (CI/CD and MLOps experience is a plus)

Problem-Solving & Adaptability
  • Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand-holding

Communication & Leadership
  • Strong client-facing communicator who can explain complex decisions clearly and lead technical direction confidently

Education
  • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience

Preferred Qualifications
  • Consulting or professional services background
  • Power Platform and Power BI experience
  • Microsoft Fabric and data governance familiarity
  • Azure DevOps, CI/CD, and infrastructure-as-code experience
  • Relevant Microsoft certifications
  • Python used in real production systems
  • Experience writing and maintaining code for data processing, automation, or model deployment

If you want to do real client delivery at the intersection of data, AI, and Microsoft, and you enjoy owning outcomes from early discovery through go-live, we'd love to meet you.

Apply