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

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

As an Analyst on our Data Science team, you'll be an integral part of an innovative group building ... Write clean, well-structured, and documented code in Python, PySpark, and SQL * Use Git for version ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay ... Proficient in SQL and data manipulation tools such as Excel, Python, or R. * BI Tools Experience:

Perform statistical analyses and exploratory data analyses using R, Python, SQL, and/or related analytical platforms. * Support biomarker discovery, patient stratification, longitudinal modeling, and ...

Perform statistical analyses and exploratory data analyses using R, Python, SQL, and/or related analytical platforms. * Support biomarker discovery, patient stratification, longitudinal modeling, and ...

If you are an analyst who is equally comfortable writing a SQL query and standing in front of a ... Exposure to R or Python is a nice-to-have, not a requirement. Communication & Presentation:

Deliver advanced analytics and AI-driven insights using Power BI, Azure Databricks, SQL, and Excel ... Ensure data quality, governance, and process integrity by identifying root causes, resolving ...

Deliver advanced analytics and AI-driven insights using Power BI, Azure Databricks, SQL, and Excel ... Ensure data quality, governance, and process integrity by identifying root causes, resolving ...

Senior Data Analyst

Nashville, TN · On-site

$103K - $139K/yr

Craft complex SQL queries and perform ad hoc analysis to answer critical business questions and evaluate the impact of new features * Translate complex data findings into clear, compelling stories ...

Digital Analyst Internships

Nashville, TN · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Data Analyst Python Sql information

See Franklin, TN salary details

$33.6K

$81.6K

$134.3K

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

As of Jul 14, 2026, the average yearly pay for data analyst python sql 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 are popular job titles related to Data Analyst Python Sql jobs in Franklin, TN? For Data Analyst Python Sql jobs in Franklin, TN, the most frequently searched job titles are:
What cities near Franklin, TN are hiring for Data Analyst Python Sql jobs? Cities near Franklin, TN with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Franklin, TN as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,608 per year, or $39.2 per hour.
Generative AI Engineer (Python & SQL)

Generative AI Engineer (Python & SQL)

Phaxis - Technology

Nashville, TN • On-site

$150K - $170K/yr

Full-time

Medical, Dental, Vision

Re-posted 26 days ago


Job description

We are seeking a talented Generative AI Engineer with strong Python and SQL skills to join our team. In this role, you will design, develop, and deploy AI-powered solutions, including large language model (LLM) applications. You will work with both structured and unstructured data, build and maintain data pipelines, optimize SQL queries, and ensure data quality for model training and evaluation.

The ideal candidate will collaborate closely with cross-functional teams to implement AI-driven features, monitor and improve model performance, and deliver scalable, production-ready systems.


Requirements:

  • Proficiency in Python and SQL
  • Experience with generative AI or LLMs
  • Strong understanding of data pipelines and database optimization
  • Ability to work in a collaborative, fast-paced environment