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Data Analyst Github Jobs in Tennessee (NOW HIRING)

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Strong communication skills and the ability to collaborate across engineering, analytics, and ... We build with modern AI development tools (such as Claude and GitHub Copilot) and expect everyone ...

Senior Data Engineer - NBA

Nashville, TN · On-site

$110K - $132K/yr

... analytics, and business teams. Preferred Qualifications • Experience with Databricks Feature ... We build with modern AI development tools (such as Claude and GitHub Copilot) and expect everyone ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Collaborate with Software Engineering, Analytics, and business stakeholders to translate ... Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Collaborate with Software Engineering, Analytics, and business stakeholders to translate ... Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or ...

Senior Data Engineer

Memphis, TN · On-site

$90 - $120/hr

Collaborate with Software Engineering, Analytics, and business stakeholders to translate ... Demonstrated experience using AI‑assisted development tools (e.g., GitHub Copilot, Cursor, or ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Collaborate with Software Engineering, Analytics, and business stakeholders to translate ... Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or ...

Showing results 21-40

Data Analyst Github information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data analyst github jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst github in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 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 Tennessee look for?

The top searched job categories for Data Analyst Github jobs in Tennessee are:

What cities in Tennessee are hiring for Data Analyst Github jobs?

Cities in Tennessee with the most Data Analyst Github job openings:

Infographic showing various Data Analyst Github job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Senior Data Engineer - NBA

Humana

Nashville, TN • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Humana rating

8.0

Company rating: 8.0 out of 10

Based on 267 frontline employees who took The Breakroom Quiz

172nd of 315 rated insurance


Job description

Become a part of our caring community
The Senior Data Engineer builds and evolves the data foundation that powers the NBA platform on the Databricks Lakehouse. This role is responsible for developing scalable data pipelines, feature engineering workflows, and real-time ingestion patterns that transform raw healthcare, member, behavioral, engagement, and socioeconomic data into trusted assets for decision intelligence, machine learning, reinforcement learning, and AI workloads. This is a hands-on engineering role focused on delivering reliable, well-governed, and high-quality data products while partnering closely with Data Science, AI Engineering, and Platform Engineering teams.

Key Responsibilities

Data pipeline development - Design, build, and maintain Bronze, Silver, and Gold lakehouse pipelines that power member profiles, clinical signals, engagement data, and decision intelligence use cases.

Feature engineering - Develop and maintain Gold-layer feature tables and reusable data products that support model training, model scoring, reinforcement learning, and real-time decisioning.

Batch and streaming ingestion - Build and support batch and real-time ingestion pipelines using Databricks, Spark, Delta Lake, and event-driven data architectures.

Data quality engineering - Implement data quality validation, reconciliation, monitoring, alerting, and testing controls to ensure trusted and production-ready data assets.

Data modeling - Design scalable data models that balance usability, governance, performance, and long-term maintainability.

Performance optimization - Tune Spark workloads, storage strategies, partitioning schemes, and query performance to improve efficiency, scalability, and cost management.

Data governance - Follow established standards for data lineage, security, PHI handling, auditability, and regulatory compliance.

Platform integration - Partner with Decision Intelligence, AI Engineering, and Platform Engineering teams to ensure high-quality data is available across the NBA ecosystem.

Operational support - Diagnose and resolve pipeline failures, data quality issues, and production incidents to maintain reliable platform operations.


Use your skills to make an impact

Required Qualifications

5+ years of data engineering experience building and operating production data platforms.

Strong SQL and Python skills with hands-on experience developing Spark-based data pipelines.

Experience with Databricks, Delta Lake, or comparable lakehouse platforms.

Experience implementing Medallion Architecture (Bronze/Silver/Gold) data patterns.

Experience building batch and streaming data processing pipelines.

Strong understanding of data modeling, pipeline testing, data quality controls, and operational support practices.

Familiarity with modern cloud-based data platforms and distributed data processing systems.

Strong communication skills and the ability to collaborate across engineering, analytics, and business teams.

Preferred Qualifications

Experience with Databricks Feature Store, Unity Catalog, Delta Live Tables, and Databricks Workflows.

Experience with Spark Structured Streaming and real-time feature engineering.

Experience with Kafka and event-driven data architectures.

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision intelligence platforms.

Experience with Azure Data Factory, Azure Data Lake Storage, Azure Event Hubs, or similar cloud-native data services.

Experience with data observability and quality platforms such as Great Expectations, Monte Carlo, or equivalent tools.

Experience integrating external healthcare, claims, CMS, CDC, consumer, or social determinants of health datasets.

Background in healthcare, insurance, or another regulated industry with PHI/HIPAA handling requirements.

We build with modern AI development tools (such as Claude and GitHub Copilot) and expect everyone on the team to use them to work faster and at higher quality.

Work Style: Remote/Hybrid - Preferably Boston, MA.

Occasional travel to Humana's offices for training or meetings may be required.

Work Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week-- some flexibility might be possible, depending on business needs.

Very minimal travel might be required for training, meetings, and/or conferences

Interview Format

As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.

If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.

Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.

SSN Task via Workday

Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


$117,600 - $161,700 per year


This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.


What Humana employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Humana logo

About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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