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Intern Python Data Analyst Jobs in North Carolina

Data Analyst

Charlotte, NC ยท On-site

$50 - $55/hr

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process.

Data Analyst

Charlotte, NC ยท On-site

$50 - $55/hr

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process.

Data Analyst

Greensboro, NC ยท On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Greensboro, NC ยท On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr ... SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. * Knowledge of ...

Data Analyst

Camp Lejeune, NC ยท On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Data Analyst

Camp Lejeune, NC ยท On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong ... Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp.

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Python programming * Microsoft Excel and Microsoft Office Suite * Data analysis, modeling, validation, and cleansing * Power BI (preferred) or Tableau * Working with large datasets and relational ...

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

... Python Related Skills Collaboration, Continuous Improvement Mindset, Data-Driven Business ... Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming ...

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g. SQL) * Financial Modeling Skills * Knowledge of Excel, Tableau, Microsoft Power BI and various ...

Showing results 21-40

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 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.

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 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.

Data Analyst

Collabera

Charlotte, NC โ€ข On-site

$50 - $55/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Project Details: Client: Banking Position: Process Automation Engineer/ Data Analyst - Xceptor Location: Charlotte, NC 28202 : 3 day in office, 2 day remote weekly Schedule: Mon-Fri : Basic Business hours Duration: 6-month contract to start, potential to extend down the road Work Hours: 40 hrs/ wk Pay range: $50 -55/hr Note: Only looking for candidates local to Charlotte, NC. Must Haves: Xceptor 4 years of building out process improvement/automation solutions Capital Markets/Investment Banking Background Can be: fixed income cash (bonds), OTC Derivatives (interest rate, commodities, equities, fx options), Core FX (swaps forwards), equity cash (stocks, exchange traded, convertible bonds) Plus: PowerApps STP processing, process simplifications, operational control enhancement AI exposure Strong reporting skills Day to Day: This Process Automation Engineer will join the Corporate Investment Banking Operations LOB at bank. This person will be in charge of the end to end data analytics and reporting lifecycle for a few different workstreams within the group. They will take over the current manual reporting work and build scalable, automated data frameworks with the help of the technology team. A day in the life looks like pulling data from multiple different systems within CIB Operations, creating custom logic / approximations, and consolidating it to present to senior leadership. As an example, some of these reports could be used for capacity planning, STP/RFT reporting, etc. Since this person will be working with owners of different operational data, itโ€™s imperative this person has a background in capital markets. It doesnโ€™t have to be an expert, but this person should be able to distinguish bonds vs derivatives, or futures vs options. Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process. Project Background - Why/Mission: The HM is seeking a Process Automation Engineer to join her team within the Corporate Investment Banking Operations LOB at bank. This person will be working within the Intelligent Automation space, building out solutions for automating the CIB operations processes. A lot of the current processes are manual and often require excel extractions. This person will be in charge of building out solutions utilizing Alteryx, XCeptor, and/or PowerApps to automate those different processes. Note: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually โ€“ as applicable.