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Sas R Python Internship Jobs in Indiana (NOW HIRING)

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

SQL, SAS, R, Python, etc. • 5+ years' experience in Data Visualization • Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power ...

New

Proficient in statistical programming languages/software such as SAS, R, Python, etc * Interpersonal communication skills for effective customer consultation * Teamwork and leadership skills

Proficiency in SQL and R, Python, SAS Enterprise Miner, SPSS, Stata, Matlab, Minitab, or JMP. (Must have.) Experience with Perl, AWK, shell scripting, and C/C++. Domain knowledge in at least three ...

... SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Review ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business ...

... R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language, Java, Python and C++; Analyze complex business ...

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Sas R Python Internship information

What is a SAS R Python Internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What cities in Indiana are hiring for Sas R Python Internship jobs? Cities in Indiana with the most Sas R Python Internship job openings:
Data Analyst, Sr

Data Analyst, Sr

Old National Bank

Evansville, IN • On-site

$82K - $103K/yr

Full-time

Posted yesterday


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

54th of 141 rated banks


Job description

Job Summary:
Old National Bank is a regional powerhouse that has been serving clients and communities since 1834. They are seeking a Senior Data Analyst to lead data projects, develop reporting solutions, and provide insights that improve business and customer experience.
Responsibilities:
• Deliver on large data projects by leading planning, execution and completion of projects through peer leadership, cross-functional team collaboration and consensus building with functional and senior stakeholders and implementing logical solutions.
• Build, develop and maintain data models, dashboards, reports, data automation systems, and performance metrics support that support key business decisions
• Proactively evaluate data & data technology trends to guide business partners on emerging opportunities.
• Ensure data accuracy, quality and consistent reporting by designing and creating optimal analytics code with data controls defined as defined within the policy, procedure, and standards
• Tasks and deliverables are often time-sensitive and require a proactive approach to ensure deadlines are consistently met
• Create consistent dashboards, reporting, and analytics experiences for business users
• Elicit and understand business requirements from stakeholders; transform into the BI context and design a data model to transform raw data into meaningful insights
• Convert business requirements into technical specifications and implement them through reports that support decision-making
• Perform DAX queries and functions in Power BI
• Partner with business users to derive requirements, identify data sources, wrangle data and/or transform data via SQL and/or SAS to produce file extracts for use within PowerBI Dashboards or distribution to other systems
• Partner closely with data engineering and data movement teams on ETL processes and to develop and enhance databases/schemas/tables and implement data solutions to move data from and to other internal and external systems and vendors
• Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.
• Creating customized diagrams and user-defined calculations as needed
• Design, develop and deploy business intelligence solutions with SQL queries for best results, filters, and graphs to better understand your data at all levels for performance improvements and suggestions
Qualifications:
Required:
• Bachelor’s degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics, Master’s degree preferred
• Exceptional analytic ability and problem-solving skills
• 6-10 years’ experience in banking and finance with a thorough knowledge of the retail bank business line
• Demonstrated ability in data retrieval from multiple databases and systems
• 5+ years’ experience in developing analytics reports and dashboards, preferably PowerBI
• 5+ years’ experience working with and creating data extracts
• 5+ years’ experience programming skills with querying languages: SQL, SAS, R, Python, etc.
• 5+ years’ experience in Data Visualization
• Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power Apps, Power Automate and Azure services
• Experience with both on-prem SQL server and Azure Databricks cloud data environments
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
• Exceptional written, verbal, and interpersonal communication skills
• Strong project management skills and experience with agile methodologies preferred
• Demonstrated ability to communicate and support data culture change initiatives
• Client-centered approach to working with line of business stakeholders
• Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations
Preferred:
• Strong project management skills and experience with agile methodologies
• Working knowledge of common banking core systems and tools (Fiserv Signature, MeridianLink/LoansPQ, Encompass, Velocify, Marquis Executrax MCIF, Salesforce)
Company:
Old National Bank is a regional bank providing you with additional provides account choices, expanded convenience, and greater control. Founded in 1834, the company is headquartered in Evansville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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