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Senior Python Data Analysis Jobs in Georgia (NOW HIRING)

We are seeking a highly analytical and business-focused Senior Data Analyst with expertise in Domo ... Experience with Python, R, or statistical analysis tools * Knowledge of cloud platforms such as AWS ...

Senior Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... analytics tools, data frameworks (e.g., Hadoop) is an asset * Knowledge of Python will be a plus ...

Python Developer IV

Alpharetta, GA · On-site

$49 - $67.50/hr

Python Developer / ONSITE 06 Months Contract to hire Work Location: Alpharetta, GA 30004 ... Strong background in data science, including experience with data analysis, machine learning, and ...

Sr. Enterprise Data & AI Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

... analysis. • Mentor, and develop a world‑class enterprise architecture practice across the ... SQL mastery, Python/data engineering, and familiarity with the modern data stack. • Experience in ...

Statistical analysis experience * Prescriptive and predictive analysis for operations, planning ... Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ...

Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ... Experience with Excel, Python, R, and preferably Smartsheet * Experience working with data layers ...

Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ... Experience with Excel, Python, R, and preferably Smartsheet * Experience working with data layers ...

Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and ... Experience with Excel, Python, R, and preferably Smartsheet * Experience working with data layers ...

... analysis, tax compliance, or financial analytics. • Proficiency in Excel (VLOOKUP, Pivot Tables, Macros) and data visualization tools (Tableau). • Experience with SQL, Python, or other data query ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Georgia? The most popular types of Python Data Analysis jobs in Georgia are:
What are popular job titles related to Senior Python Data Analysis jobs in Georgia? For Senior Python Data Analysis jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Georgia look for? The top searched job categories for Senior Python Data Analysis jobs in Georgia are:
Sr. Data Analyst, Data Science Analytics

Sr. Data Analyst, Data Science Analytics

Home Depot

Atlanta, GA • On-site

$81K - $103K/yr

Full-time

Posted 15 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,333 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
A Sr Data Analyst Supply Chain leverages proven technical abilities to synthesize complex analytical tasks into easily understood data-driven stories. Responsible for working collaboratively among other talented analysts to apply established and create new analytical processes on diverse datasets to deduce insights and solve real-world business problems. Also ensures that all reporting and analytical responsibilities are completed competently in a timely manner, continually seeks out opportunities to learn new and hone existing technical skills (e.g. writing SQL/code, statistics, machine learning, etc.) and operates under minimal supervision and mentorship of more experienced managers and data scientists.
Key Responsibilities:
  • 30% Leverages data analytics tools to create new dashboards, reports, and any additional ad-hoc requests
  • 20% Executes existing reporting and analytical responsibilities
  • 20% Ensures the quality of work output by displaying a keen attention to detail
  • 20% Presents findings in easily understood ways, focuses on how the data analytics fits into the bigger picture
  • 10% Develops additional technical competencies and subject matter expertise within core functional group

Direct Manager/Direct Reports:
  • This position reports to Manager or Sr Manager
  • This position has no Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • 2-4 years work experience in data mining, statistical analysis, auditing, and/or forecasting.
  • An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.)
  • Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.)
  • Prior direct experience in analyzing the relevant subject matter (e.g. Supply Chain, Merchandising, Operations, etc.)
  • B.S. in Computer Science, Math, Engineering, Finance, or related quantitative field.
  • Work experience with MS Excel, MS Access, SQL Server, Teradata, Oracle, or comparable database systems.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 2

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
  • An unquenchable intellectual curiosity for getting at the underlying story being told within the data.
  • Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
  • Superior interpersonal skills and ability to collaborate actively and work in a team environment.
  • Ability to quickly learn and adapt to new technologies, tools, and techniques.

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Home Depot logo

About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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