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Data Analyst Python Sql Jobs in Georgia (NOW HIRING)

Analyze large and complex datasets using tools such as Python, R, and SQL * Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau , or similar tools * Present data insights ...

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

Proficiency or demonstrated ability to quickly learn SQL for database querying. * Experience with ... Familiarity with statistical analysis concepts; experience with Python or R is a plus.

Sr Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation skills. The role also involves fostering collaboration, driving continuous improvement ...

Advanced degree preferred Proficient with SQL (experience in Hive and Teradata utilities preferred ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Advanced degree preferred Proficient with SQL (experience in Hive and Teradata utilities preferred ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Data Analyst 2

Duluth, GA · Hybrid

$65K - $75K/yr

This position is very SQL heavy. This position will adopt and utilize appropriate analytical ... Knowledge of predictive modeling techniques, R and/or Python, and Power Bi is a plus * Experience ...

Data Analyst 2

Duluth, GA · On-site

$65K - $75K/yr

This position is very SQL heavy. This position will adopt and utilize appropriate analytical ... Knowledge of predictive modeling techniques, R and/or Python, and Power Bi is a plus * Experience ...

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL ... Experience with Python or R for data transformation. * Knowledge of: * Data governance * Metadata ...

The ideal candidate will have strong banking domain knowledge, advanced SQL and data analysis skills, and experience performing data profiling, reconciliation, impact analysis, and root cause ...

Be Seen First

Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

Spark SQL * Python * SQL * Optimize lakehouse performance, scalability, and cost management ... Data Analytics * Engineering * Related technical discipline Experience * 3-7 years of experience in ...

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

Showing results 41-60

Data Analyst Python Sql information

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 Georgia look for? The top searched job categories for Data Analyst Python Sql jobs in Georgia are:
What cities in Georgia are hiring for Data Analyst Python Sql jobs? Cities in Georgia with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$56K - $63K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Do you feel called to serve in a Christian Ministry?
Do you want to serve where you make a difference in the lives of others?
Are you looking for a life-changing work experience?
If so, consider joining us at the Atlanta Mission, where we provide life-transforming experiences for everyone that joins our team: employees, clients, donors, and volunteers. We serve over 1000 men, women, and children every day by providing food, shelter, clothing, counseling, vocational and spiritual guidance. We get to experience and witness radical life transformations.
The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across Development, Volunteer Services, Marketing, Human Resources, Operations, Finance, as well as Client Services. By transforming data into actionable insights, your work directly contributes to growing our reach, deepening engagement, measuring our impact, and serving our community with greater effectiveness and faithful stewardship.
Essential Duties And Responsibilities:
  • Analyze and Interpret Data: Collect, clean, analyze, and interpret data related to donor and volunteer engagement, retention, NPS scores, surveys, marketing campaign performance, fundraising activities, and operational metrics to drive strategic planning.
  • Reporting and Visualization: Develop and maintain reports, dashboards, and visualizations (using tools like Salesforce and Tableau) to communicate trends, performance against KPIs, and insights to various stakeholders clearly and effectively.
  • Client Services Reporting and Dashboards: Create basic reports, such as caseload and capacity reports, and build dashboards for Client Services to track service deliveries and program performance.
  • Data Integrity: Conduct regular audits, data quality checks, and reviews to ensure accuracy, consistency, and integrity across development, business, and CRM (Salesforce) systems.
  • Database Management and Support: Support and manage ongoing data needs, including mailing list creation, data segmentation, event invitation lists, and database queries (Salesforce and SQL proficiency desirable). Serve as a support resource for internal users of data systems.
  • Basic Systems Administration: Perform field creation and updates in Salesforce for Development, Volunteer Services, and Client Services, and create and manage user accounts as needed.
  • Strategic Partnership: Partner with internal teams (Marketing, Development, Volunteer, HR, Client Services, etc.) and external vendors to support data needs for direct mail, telemarketing, digital marketing, and other initiatives.
  • Trend Identification and Recommendations: Proactively identify trends, patterns, and opportunities within external/organizational data, providing actionable insights and recommendations to inform future strategy and optimize resource allocation.
  • User Support and Team Enablement: Serve as a primary point of contact for data systems support, assisting internal users with troubleshooting and data-related questions, while also providing training on data best practices and tools to foster data literacy across the organization.
  • Process Optimization and Automation: Identify opportunities to enhance efficiency by streamlining data collection, analysis, and reporting workflows, potentially leveraging automation tools and techniques.

You will uphold the following Christ-Centered values:
  • Humbly Serve: You strive to live, Love and Lead like Jesus
  • Faithfully Steward: You honor and wisely use the time, talent and treasures that God has provided
  • Courageously Innovate: You are driven towards excellence, you continuously learn, adapt and improve
  • Joyfully Celebrate: You intentionally appreciate and recognize all that God is doing in and through all the stakeholders of Atlanta Mission.
  • Strength in Unity: You embrace God's desire for oneness and kingdom-focused unity.

Position Requirements:
Technical Skills:
  • Strong proficiency in Microsoft Excel.
  • Experience with data analysis and visualization tools (e.g., Salesforce reports/dashboards, Tableau, Power BI) preferred.
  • Proficiency or demonstrated ability to quickly learn SQL for database querying.
  • Experience with Salesforce required, including comfort with basic administration tasks such as field creation/updates and user account management; experience with other CRM or donor management systems (e.g., Raiser's Edge) is a plus.
  • Familiarity with statistical analysis concepts; experience with Python or R is a plus.
  • Familiarity with project management software (e.g., Asana, Airtable, Monday, Smartsheet) is a plus.

Analytical & Problem-Solving Skills:
  • Excellent analytical, critical thinking, and problem-solving abilities.
  • A keen eye for detail and commitment to data accuracy.
  • Ability to translate complex data into clear, actionable insights.

Collaboration & Communication:
  • Strong communication skills (written and verbal) to present findings to both technical and non-technical audiences.
  • Ability to collaborate effectively with cross-functional teams.

Other:
  • Proven ability to manage multiple projects, prioritize tasks, and meet deadlines independently.
  • Passion for using data to support meaningful work in a nonprofit environment and advance Atlanta Mission's goals.
  • Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience is often preferred.

Physical Requirements:
  • Must have the ability to remain in a stationary position (standing, sitting and/or walking)
  • Must have the ability to constantly operate a computer and other office equipment, such as a copy machine, calculator and computer printer
  • Must be able to communicate accurate information
  • Must be able to occasionally lift up to 50lbs
  • Must have the ability to identify and distinguish colors, to adjust focus and maintain close and distance vision

Environmental Job Requirements:
  • Occasionally exposed to outdoor weather conditions during events
  • Moderate noise as in a business office environment
  • Lower exposure risk to communicable diseases as described by OSHA

What We Offer
Employee Benefits:
  • Retirement Savings with Matching Contribution
  • Medical Insurance
  • Dental & Vision Insurance

Employer Paid Benefits:
  • 3 Weeks Paid Time Off accrued during your first year
  • 10 Paid Holidays
  • 4 Mental Health Day/year
  • Life Insurance
  • Short-Term Disability
  • Travel Assistance Program
  • Employee Assistance Program (EAP)
  • Medical Concierge
  • Spiritual & Professional Training & Development