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Data Analyst Python Sql Jobs in Goodlettsville, TN

Spry Methods

UAC Analyst - Mid

Nashville, TN

Experience using SQL or similar data querying languages to extract, transform, and analyze data ... Experience using Python, R, or similar tools for advanced data analysis, automation, and reporting.

Method, Inc.

UAC Analyst - Mid

Nashville, TN · On-site

$82 - $90/hr

Experience using SQL or similar data querying languages to extract, transform, and analyze data ... Experience using Python, R, or similar tools for advanced data analysis, automation, and reporting.

New

Amazon

Sr. Business Analyst, AMZL UTR PPT

Nashville, TN · On-site

$89K - $115K/yr

... data analyses, statistical and predictive model development, validation and implementation maintaining front end code. Proficiency in the using Python, SQL, HTML, Java, and R, or other similar coding ...

Spry Methods

UAC Analyst - Mid

Nashville, TN · On-site

Experience using SQL or similar data querying languages to extract, transform, and analyze data ... Experience using Python, R, or similar tools for advanced data analysis, automation, and reporting.

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

The most commonly used technical tools in this position include SQL, Advanced Excel, Python, and ... Tracks, processes, analyzes and verifies data in order to improve accuracy and quality. * Use ...

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

The most commonly used technical tools in this position include SQL, Python, advanced excel, and ... Tracks, processes, analyzes and verifies data in order to improve accuracy and quality. * Use ...

AllianceBernstein

Senior Business Analyst

Nashville, TN · On-site

$89K - $115K/yr

... writing SQL queries to support data analysis • Strong project management, analytical and ... research and investment • Python Preferred : • Master's degree preferred Company

Nissan Motor Co., Ltd.

Data Scientist

Franklin, TN · On-site

Experience in designing effective data models, trend forecasts, and visualizations of analytics. * Proficient in Big Data management. Proficient in statistics. Proficiency in SQL / Python required.

SEI

Data and Analytics Consultant

Nashville, TN · On-site

... Python, Node.JS and SQL * Experience and knowledge of data integration tools and platforms ... Advanced Analytics and Data Visualizations * Extensive experience or knowledge of data ...

Amazon

Sr. Business Analyst, AMZL UTR PPT

Nashville, TN · On-site

$89K - $115K/yr

... data analyses, statistical and predictive model development, validation and implementation maintaining front end code. Proficiency in the using Python, SQL, HTML, Java, and R, or other similar coding ...

Robotics Technologies LLC

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Develop scalable data processing workflows using Python, PySpark, and SQL. * Work with large datasets and cloud‑native data environments for analytics and modeling. * Collaborate with data ...

CereCore

Data Engineer

Nashville, TN

$110K - $132K/yr

Specific expertise/experience in data analysis, modeling and visualization required. * Specific ... Experience with GCP, Python, MS SQL Server, Teradata, and BI platforms preferred. * Knowledge of ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Goodlettsville, TN

Data Analyst Python Sql information

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

As of Aug 20, 2026, the average yearly pay for data analyst python sql in Goodlettsville, TN is $77,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

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

The top searched job categories for Data Analyst Python Sql jobs in Goodlettsville, TN are:

What cities near Goodlettsville, TN are hiring for Data Analyst Python Sql jobs?

Cities near Goodlettsville, TN with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Senior Data Engineer - Healthcare Data & Audience Applications

Zeta Global

Nashville, TN • On-site

$102K - $139K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago

Job description

WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
ROLE OVERVIEW
Zeta Global is seeking a Senior Data Engineer to build reliable, scalable data pipelines and data products for a healthcare vertical. You will be a hands-on engineer who turns complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, activation, reporting, and measurement.
Working closely with the engineering and product team, you will help implement the team's data architecture and engineering standards while owning significant parts of the delivery lifecycle. You will contribute to well-designed, production-ready systems-not define the overall architecture or technical roadmap alone.
Key Responsibilities
  • Design, develop, test, deploy, and operate production-grade pipelines for healthcare, identity, audience, media-exposure, and campaign-performance data using Python, SQL, Airflow, S3, Snowflake, and EMR.
  • Implement maintainable data models, transformations, governed views, and reusable datasets for provider identity, claims/Rx, NPI/HCP, media, brand, and connector data.
  • Deliver data products that support HCP and patient/DTC audience discovery, segmentation, activation, measurement, and reporting.
  • Build Airflow workflows with clear dependencies, retries, alerting, data-quality checks, and operational runbooks; use EMR for large-scale enrichment, normalization, and other compute-intensive workloads.
  • Write efficient SQL across Snowflake, Hive, and Athena, adapting to platform-specific syntax and query behavior.
  • Partner with product, analytics, data science, and platform teams to translate business and healthcare requirements into resilient technical solutions.
  • Implement data-quality controls, reconciliation checks, monitoring, alerting, and incident-response practices for critical data products.
  • Support data onboarding and integration for healthcare partners and internal sources, including validation, normalization, and source-to-target mapping.
  • Apply privacy-by-design practices for PHI/PII, including access controls, masking, approved joins, retention, and auditability.
  • Collaborate with the Lead Data Engineer on technical designs, code reviews, documentation, and delivery plans; mentor less-experienced engineers as needed.
  • Troubleshoot production issues and improve pipeline performance, reliability, and observability over time.

Core Technical Environment
  • Data storage & warehouse: Snowflake Native and Amazon S3.
  • Orchestration: Apache Airflow for general pipeline setup and scheduling.
  • Heavy processing: Amazon EMR for targeted, compute-intensive jobs.
  • Programming: Python for Airflow pipelines and supporting data engineering services.
  • Querying: SQL in Snowflake, Hive, and Athena.

Qualifications
  • 5-8 years of hands-on data engineering experience, including ownership of production pipelines and data models, with experience working with healthcare data such as provider/HCP, claims, prescription, patient/DTC, or healthcare audience datasets.
  • Strong Python and expert SQL skills, with demonstrated experience building transformations, optimizing queries, and diagnosing data issues.
  • Hands-on experience with AWS data services, especially S3, and a modern cloud data warehouse; experience with Snowflake, Airflow, and EMR is strongly preferred.
  • Experience with data modeling, schema evolution, batch processing, orchestration, testing, CI/CD, and production support practices.
  • Proven ability to work with large, complex datasets and deliver reliable, well-documented data products.
  • Deep, practical knowledge of HIPAA, PHI/PII handling, privacy-by-design controls, and the operational requirements of regulated healthcare data environments.
  • Experience with AdTech/MarTech, identity resolution, audience onboarding, segmentation, data linkage, media measurement, attribution, or campaign reporting.
  • Ability to balance healthcare privacy constraints with the need for timely, accurate audience and performance insights.
  • Strong collaboration and communication skills across engineering, product, analytics, and business stakeholders.

Preferred
  • Experience with healthcare data providers, identity ecosystems, tokenization, clean rooms, or privacy-enhancing technologies.
  • Experience with data cataloging, lineage, observability, and data-quality frameworks.
  • Experience with Docker, Kubernetes/EKS, infrastructure as code, and cloud deployment workflows.
  • Experience supporting reporting, attribution, or measurement products tied to campaign or business outcomes.
  • Exposure to ML/AI-enabled data products or analytics workflows.

BENEFITS & PERKS
  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE
The salary range for this role is $140,000 - $160,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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