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Data Analyst Github Jobs in Memphis, TN (NOW HIRING)

... as GitLab, GitHub, and Azure DevOps. Experience in serverless and container-based technologies ... data preparation and ETL workflows), Amazon Comprehend (for NLP and text analytics), Amazon Lex ...

Analytical skills and the ability to interpret cloud usage/cost data into actionable insights ... Git; familiarity with GitHub Actions/Jenkins/CodePipeline a plus. * OS & Scripting: Windows/Linux;

Analytical skills and the ability to interpret cloud usage/cost data into actionable insights ... Git; familiarity with GitHub Actions/Jenkins/CodePipeline a plus. * OS & Scripting: Windows/Linux;

Analytical skills and the ability to interpret cloud usage/cost data into actionable insights ... Git; familiarity with GitHub Actions/Jenkins/CodePipeline a plus. * OS & Scripting: Windows/Linux;

... such as GitLab, GitHub, and Azure DevOps. • Experience in serverless and container-based ... data preparation and ETL workflows), Amazon Comprehend (for NLP and text analytics), Amazon Lex ...

... such as GitLab, GitHub, and Azure DevOps. • Experience in serverless and container-based ... data preparation and ETL workflows), Amazon Comprehend (for NLP and text analytics), Amazon Lex ...

Azure Cloud Engineer

Memphis, TN · On-site

$54.25 - $72.25/hr

... data-platform migrations, and application modernization. Responsibilities Key Responsibilities ... Participate in incident response, problem management, root cause analysis, maintenance, and change ...

Azure Cloud Engineer

Memphis, TN · Hybrid

$54.25 - $72.25/hr

... SQL/data-platform migrations, and application modernization. Key Responsibilities Cloud ... Participate in incident response, problem management, root cause analysis, maintenance, and change ...

Showing results 21-30

Data Analyst Github information

See Memphis, TN salary details

$33K

$80.3K

$132.1K

How much do data analyst github jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst github in Memphis, TN is $80,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a data analyst at GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What job categories do people searching Data Analyst Github jobs in Memphis, TN look for?

The top searched job categories for Data Analyst Github jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Data Analyst Github jobs?

Cities near Memphis, TN with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,939 per year, or $43.7 per hour.

Operations Engineer (Cloud)

Stifel Financial Corp.

Memphis, TN • On-site

$90 - $120/hr

Other

Posted 19 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

What You'll Be Doing

The Operations Engineer role is focused on Amazon Web Services (AWS) disaster recovery, automation/IaC, and FinOps. This role partners with engineering, infrastructure, and security teams to improve resilience, standardize recovery processes, and increase cloud cost visibility and optimization. The Operations Engineer will develop scalable IaC modules and automated workflows that make recovery predictable, observable, and easier to operate across multiple applications and environments.

What We're Looking For
  • Configure and manage AWS Elastic Disaster Recovery (DR) and support DR services/patterns.
  • Create and maintain Cutover runbooks for DR events (dependencies, communications, validations, rollback).
  • Plan and execute DR tests/failovers/failbacks; capture results and drive remediation.
  • Build and maintain Terraform infrastructure-as-code modules and standards.
  • Automate provisioning and repeatable operational workflows (scripting and tooling).
  • Improve DR readiness through monitoring/alerting for replication health, backups, and recovery workflows.
  • Coordinate with security/risk to ensure DR solutions meet control and compliance expectations.
  • Support FinOps practices including tagging, allocation, reporting, and optimization enablement.
  • Use Apptio Cloudability (preferred) to analyze spend, trends, and optimization opportunities.
What You'll Bring
  • Demonstrated experience implementing and supporting AWS cloud platform and resiliency solutions, including disaster recovery planning, testing, and operational support.
  • Proficiency with IT systems, including cloud services, networking, data storage, and compute; experience with backup/replication and cloud resiliency methods is desired.
  • Proficiency with automation and infrastructure-as-code tools (Terraform preferred) and scripting (Python, PowerShell, and/or Bash) to create repeatable operational workflows.
  • Strong understanding of disaster recovery concepts, including RTO/RPO definition, runbook development, recovery validation, and continuous improvement through testing and remediation.
  • Familiarity with industry standards and guidance such as ISO 22301, FFIEC guidelines, NIST SP 800‑34, and ITIL, and the ability to apply those expectations in a cloud context.
  • Business understanding and the ability to apply technology solutions to business resiliency, risk reduction, and service continuity objectives.
  • Analytical skills and the ability to interpret cloud usage/cost data into actionable insights; familiarity with FinOps practices and tools such as Apptio Cloudability or AWS Cost Management is desired.
  • Strong written and verbal communication skills, including the ability to produce clear technical documentation and present to influential audiences.
  • Ability to work calmly under pressure and with tight deadlines, including during DR tests, incidents, and recovery activities.
Education & Experience
  • Minimum Required: Bachelor's degree in Computer Science, Information Systems, or related field or equivalent relevant experience.
  • Minimum Required: 5+ years of experience in cloud/platform engineering, DevOps/SRE, or systems engineering. Demonstrated experience implementing and testing DR strategies in AWS. Experience building and maintaining IaC and automation via scripting.
  • Preferred: DRS & Terraform.
Licenses & Credentials
  • Minimum Required: At least one AWS certification (e.g., AWS Certified Solutions Architect – Associate/Professional, AWS Certified SysOps Administrator, or AWS Certified DevOps Engineer – Professional).
  • Preferred: FinOps Certified Practitioner.
  • Preferred: ITIL Foundation or similar operations/process certification.
Systems & Technology
  • Cloud: AWS (IAM, VPC, EC2, EBS, S3, CloudWatch), AWS Elastic Disaster Recovery (DRS).
  • IaC: Terraform or CloudFormation preferred.
  • Runbooks/Orchestration: Cutover preferred.
  • FinOps/Cost Management: Apptio Cloudability preferred, AWS Cost Explorer/Budgets/Cost & Usage Reports.
  • Monitoring/Logging: CloudWatch; familiarity with Splunk/Datadog a plus.
  • CI/CD & Source Control: Git; familiarity with GitHub Actions/Jenkins/CodePipeline a plus.
  • OS & Scripting: Windows/Linux; Python, Bash, PowerShell.
  • Containers (plus): Docker, ECS/EKS/Kubernetes.

Stifel is an Equal Opportunity Employer.

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