ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Louisa, VA (NOW HIRING)

STI

Data Analyst

Charlottesville, VA · On-site

Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for ... Python, PowerShell) for automation and data manipulation.

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

... Python, or SQL; statistical analysis; and data mining algorithms. • Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Qualifications : Required ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

... Python, or SQL; statistical analysis; and data mining algorithms. * Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Required qualifications * 3+ ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

... Python, or SQL; statistical analysis; and data mining algorithms. * Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics. Required qualifications * 3+ ...

Varsity Tutors

SQL Tutor

Charlottesville, VA · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

Data Analysis Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

next page

Showing results 1-20

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Louisa, VA

Data Analyst Python Sql information

See Louisa, VA salary details

$30.9K

$75K

$123.4K

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

As of Aug 19, 2026, the average yearly pay for data analyst python sql in Louisa, VA is $75,008.00, 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 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 are popular job titles related to Data Analyst Python Sql jobs in Louisa, VA?

For Data Analyst Python Sql jobs in Louisa, VA, the most frequently searched job titles are:

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

The top searched job categories for Data Analyst Python Sql jobs in Louisa, VA are:

What cities near Louisa, VA are hiring for Data Analyst Python Sql jobs?

Cities near Louisa, VA with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you

Data Analyst

STI

Charlottesville, VA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Title: Data Analyst
Location: Charlottesville, VA 22902
Duration: 12+ Months
8am to 4.30pm
Description:
Data Analyst needed to create and customize SSRS reports, analyze, clean and load SQL data for migration project, and create Business Intelligence reports and dashboards.
Mgr agrees to initial Virtual IVs but reserves the option to request an IN PERSON IV if needed.
The selected candidate must be able to work IN PERSON (ON SITE) for the first full week (5 days) of the engagement-- then a minimum of one day a week ON SITE thereafter REQUIRED. The candidate must have access to broadband internet and a home office free from distractions to qualify for remote work. The candidate can optionally work in person if preferred. Pls do not submit if they cannot agree to this arrangement.
Additional in-person days may be necessary for meetings with clients.
Parking is free at our facilities.
The employee cannot have billable hours on our government holidays.
Must work independently or as part of a small team on projects.
Years of Experience: 4-6
Days on Site per week: 1-2
Day to day responsibilities
Initial workload will be heavily focused on creation of SSRS reports, utilizing mockups provided by a configuration team to customize standard vendor provided reports.
Working on ETL processes to clean and load data to on-prem and cloud databases, SQL Server scripting and querying, and Business Intelligence report creation are other likely duties.
The Data Analyst will work with other ACIT team members, department stakeholders, vendors, and partners in the design, development and implementation of reporting, integration and data analytics solutions.
Required Skills
Expertise in designing, developing, and deploying SSRS reports.
Proficiency with SQL Server
Strong knowledge of SQL for querying relational databases
Experience with complex queries, joins, subqueries, and data manipulation.
Perform data analysis, data profiling, SQL coding/query tuning, data modeling, and data validation
Work and partner with internal stakeholders to develop reports or address data access and visualization needs
Experience in data modeling with strong and demonstratable data management skills
Desired Skills/Experience
Power BI report development
Experience with Azure data warehousing solutions
Experience with Azure ETL (Extract, Transform, Load) processes and tools
Experience with Microsoft Fabric
Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation.

Apply