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Intern Python Data Analyst Jobs in Georgia (NOW HIRING)

Job Purpose: The purpose of the Data Analyst Intern to support our operations and supply chain data mining efforts. The primary focus of this role is to assist in gathering, extracting, and ...

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Proficiency in data analysis tools such as Excel, SQL, and data visualisation software. * Strong ... Experience with programming languages such as Python or R. * Knowledge of machine learning ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

Position: Data Analyst Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Experience with Python libraries such as Pandas, Matplotlib, or Seaborn * Experience working in ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Strong background in SQL and experience working on Python. * Experience in Statistical techniques ...

... SQL, Python, or other data query languages is a plus. • Knowledge of sales tax regulations and exemptions is preferred but not required. • Strong problem-solving and analytical skills. • ...

Data Analyst| Remote Optomi, in partnership with a global leader in the retail industry, is seeking ... Experience with Python or other scripting languages. * Exposure to AI/ML concepts or tools.

Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and analytical skills Requirements Experience with Neo4j data analysis. Experience with both SQL and graph ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Analyst

Norcross, GA · On-site

$60 - $80/hr

... SQL, Python, or other data query languages is a plus. • Knowledge of sales tax regulations and exemptions is preferred but not required. • Strong problem-solving and analytical skills. • ...

Data Analyst

Norcross, GA · On-site

$75K/yr

Experience with SQL, Python, or other data query languages is a plus. * Knowledge of sales tax regulations and exemptions is preferred but not required. * Strong problem-solving and analytical skills.

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Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

Data Analyst

Alpharetta, GA • On-site

Full-time

Re-posted 9 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML