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Intern Python Data Analyst Jobs in Syracuse, NY (NOW HIRING)

Senior Data Analyst

Syracuse, NY · On-site

$96K - $112K/yr

About us National Grid is hiring a Senior Data Analyst for our Electric Data and Systems team ... Python or R). * Experience designing and implementing data models and working with relational ...

Senior Data Analyst

Syracuse, NY · On-site

$96K - $112K/yr

About us National Grid is hiring a Senior Data Analyst for our Electric Data and Systems team ... Python or R). * Experience designing and implementing data models and working with relational ...

About us National Grid is hiring a Senior Data Analyst for our Electric Data and Systems team ... Python or R). * Experience designing and implementing data models and working with relational ...

Sr. Data Analyst, Revenue Operations

Syracuse, NY · On-site

$85K - $107K/yr

... Python, SQL or AI to automate recurring analyses, improve data access, to scale the team ... capabilities * Build actionable dashboards: Create clear, intuitive dashboards that help leaders ...

Digital Analyst Internships

Syracuse, NY · On-site

$97K - $115K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Participate in data collection failure analysis studies. Our emphasis on innovation and its source ... Python programming * Statistical analysis tools * Excellent Communication Skills * Passion for ...

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Intern Python Data Analyst information

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How much do intern python data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern python data analyst in Syracuse, NY is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

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, and why are they important?

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 are the most commonly searched types of Python Data Analyst jobs in Syracuse, NY? The most popular types of Python Data Analyst jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Intern Python Data Analyst jobs? Cities near Syracuse, NY with the most Intern Python Data Analyst job openings:
Data Analyst, Management Data Analysis

Data Analyst, Management Data Analysis

National Grid

Syracuse, NY • On-site

Full-time

Posted 13 days ago


Job description

Job Summary:
National Grid is a company dedicated to delivering safe and secure energy to homes and businesses, and they are seeking a Geographic Information Systems (GIS) Data Analyst. The role involves owning the customer experience for the ArcGIS Online application, performing spatial analyses, and collaborating with stakeholders to enhance data management and reporting.
Responsibilities:
• Administer and provide end-user support for our electrical ArcGIS Online suite (IMAP):
• Maintain the active member directory as well as their ArcGIS Online roles.
• Proactively monitor the servers and systems that keep ArcGIS Online up and running.
• Triage and resolve technical and product questions submitted by the business and translate recurring support themes into prioritized improvement goals.
• Create and maintain customer-facing enablement documentation: onboarding guides, release notes, step-by-step playbooks, and responses to frequently asked questions.
• Oversee and mentor staff on data governance rules and data management best practices.
• Lead group training sessions, webinars, and 1:1 office hour meetings to accelerate adoption and showcase new features and tools.
• Perform spatial analyses using geoprocessing tools available in ArcGIS Pro and its extensions.
• Maintain an understanding of end-to-end data flows and relevant source systems as well as the data sets and associated schemas available through National Grid’s centralized data repository.
• Build relationships with stakeholders to understand business needs and success criteria.
• Collaborate with stakeholders on asset data reporting needs.
• Proven experience working with diverse teams and individuals.
• Demonstrated customer service as well as verbal and written communication skills, including a proven ability to effectively communicate with peers and both technical and non-technical stakeholders.
Qualifications:
Required:
• Demonstrated analytical skills, problem solving, and decision-making capabilities.
• Proficient with computer applications, including relational databases, spreadsheets, and other general applications.
• Ability to prioritize tasks and work independently and effectively in a matrix environment.
• Experience working with GIS tools and spatial data systems is required: Esri ArcGIS Pro and ArcGIS Online are required.
• Ability to synthesize customer feedback into actionable insights and improvements.
• Ability to troubleshoot technical issues, translating between technical teams and business stakeholders.
• This position includes a Storm Role assignment. Candidates must be able to respond to storm emergencies as required.
• Ability to travel throughout the National Grid service territory as needed (less than 20%).
• Must have a valid driver's license and safe driving history.
Preferred:
• Bachelor’s Degree in Geography, Information Systems, Data Sciences, or Data Analytics is preferred. Associate’s degree in a related field with similar work experience will be considered.
• Experience working with GE Smallworld GIS and Safe FME is a plus.
• Experience working with any of the following is highly desirable: Python, Pandas, SQL, Microsoft PowerBI, JavaScript or other web development frameworks.
• Experience working with utility asset information as well as LiDAR and photogrammetry data is desirable.
Company:
National Grid facilitates electricity and gas transmission system and focuses on delivering clean energy. Founded in 1990, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.