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Data Analyst Python Sql Jobs in Lawrenceville, GA

... or Microsoft SQL Server. * Leverage programming languages like Python or R to automate data ... Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering)

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

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a ... Experience with both SQL and graph databases. Strong programming skills in Python or Java.

... Python, SQL). * Working knowledge of machine learning concepts and their application to data and ... Strong analytical, organizational, and problem-solving skills. * Excellent communication skills ...

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 ...

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 ...

New

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

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 ...

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 ...

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 ...

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Data Analyst Python Sql information

See Lawrenceville, GA salary details

$31.2K

$75.7K

$124.6K

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

As of Aug 8, 2026, the average yearly pay for data analyst python sql in Lawrenceville, GA is $75,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $88,900.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Data Analyst Python Sql jobs in Lawrenceville, GA? For Data Analyst Python Sql jobs in Lawrenceville, GA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Lawrenceville, GA look for? The top searched job categories for Data Analyst Python Sql jobs in Lawrenceville, GA are:
What cities near Lawrenceville, GA are hiring for Data Analyst Python Sql jobs? Cities near Lawrenceville, GA with the most Data Analyst Python Sql job openings:

Associate Data Analyst

Brown and Caldwell

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Brown and Caldwell rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

15th of 443 rated engineering


Job description

The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.

Responsibilities 

  • Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys). 
  • Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality. 
  • Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions. 
  • Organize raw data into structured formats—such as data tables, CSV files, or relational databases—making it accessible and ready for analysis by analysts, data scientists, and business stakeholders. 
  • Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets. 
  • Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts. 
  • Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention. 
  • Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers. 
  • Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel. 
  • Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server. 
  • Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines. 
  • Collaborate with cross-functional teams—including marketing, product, finance, and operations—to understand their goals and translate them into data requirements. 
  • Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports. 
  • Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues. 
  • Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members. 
  • Flexibility to adapt and execute various additional assignments based on evolving needs. 

Mentorship 

  • May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles. 

Skills and Competencies 

  • Proficiency in SQL for data extraction, transformation, and analysis 
  • Advanced Excel and Google Sheets skills, including pivot tables and complex formulas 
  • Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards 
  • Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering) 
  • Ability to perform exploratory data analysis and identify actionable insights 
  • Familiarity with Python or R for data manipulation and visualization (preferred) 
  • Skilled in cleaning, validating, and transforming large datasets 
  • Excellent communication skills for presenting data to non-technical stakeholders 
  • Collaborative mindset with experience working across departments 
  • Detail-oriented with a focus on data accuracy and consistency 
  • Knowledge of data governance, metadata management, and quality assurance practices 
  • Understanding of data privacy and compliance standards (e.g., GDPR, CCPA) 
  • Ability to identify process inefficiencies and recommend improvements 
  • Experience supporting senior analysts with modeling, forecasting, and reporting 

Experience 

  • Typically, a minimum of 2 years’ related work experience in Data Analytics or a related field is required. 

Education 

  • A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline)is required. 

Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education.  These ranges may be modified in the future.   

Location A:$71,000 - $96,000Location B:$78,000 - $106,000Location C:$85,000 - $115,000 

You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter.  

Benefits and Other Compensation:  We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits.  

About Brown and Caldwell   

Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice—to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com  

This position is subject to a pre-employment background check and a pre-employment drug test.   

Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.    

Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.


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