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Internship Python Sql Tableau Jobs in Raleigh, NC

Danaher

Digital Analyst Internships

Raleigh, NC · On-site

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Durham, NC · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Samprasoft

Informatica/Oracle Developer

Durham, NC · On-site

$48.25 - $63.50/hr

Informatica - primary, Oracle SQL is secondary, Windows Scripting is third * Any Python exposure ... Exposure to BI tools like Tableau, Qlikview & Power BI is preferred * Defined Benefits domain ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... programming in Python, R, or SQL * 6 months or more experience (academic, internship, or ... such as Tableau, Power BI, matplotlib, or seaborn * 6 months or more experience (academic ...

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

... programming in Python, R, or SQL * 6 months or more experience (academic, internship, or ... such as Tableau, Power BI, matplotlib, or seaborn * 6 months or more experience (academic ...

Studycast

Automation Engineer

Raleigh, NC · On-site

... internships, freelance work, or personal projects count). * Proficient in Python and SQL: with the ability to write queries, build basic scripts, and troubleshoot when something breaks. * Experience ...

Samprasoft

BI/WebFOCUS Developer

Durham, NC · On-site

Specialization in rewriting Reports/Dashboard in different BI Tools like Tableau, Power BI ... Experience in Oracle PL-SQL development. * Experience in Agile working environment. * Validated ...

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How much do internship python sql tableau jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for internship python sql tableau in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Python Sql Tableau vs Data Analyst?

AspectInternship Python Sql TableauData Analyst
Required SkillsBasic Python, SQL, Tableau, data visualizationAdvanced Excel, SQL, Python, data analysis, reporting
Work EnvironmentInternship setting, entry-level projectsFull-time, collaborative teams, client-facing
CertificationsNone typically required, some courses helpfulData analysis certifications (e.g., Microsoft, Tableau)
Industry UsageEntry-level roles in tech, finance, marketingBusiness intelligence, analytics, consulting

Internship Python Sql Tableau roles focus on gaining foundational skills in data tools and visualization, often in an entry-level setting. Data Analysts build on these skills with more advanced analysis, reporting, and business insights, usually in full-time positions. Both roles overlap in technical skills but differ in experience level and scope.

What are popular job titles related to Internship Python Sql Tableau jobs in Raleigh, NC? For Internship Python Sql Tableau jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship Python Sql Tableau jobs in Raleigh, NC look for? The top searched job categories for Internship Python Sql Tableau jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Python Sql Tableau jobs? Cities near Raleigh, NC with the most Internship Python Sql Tableau job openings:
Internship Python Sql Tableau jobs near you

Senior Manager, Advanced Data Analytics and Insights

Fidelity Investments

Durham, NC • On-site

Full-time

Posted 14 days ago

Key responsibilities

  • Develops and executes comprehensive learning agendas that inform strategic business decisions and tackle key business questions for stakeholders.

  • Translates business questions into hypotheses that can be validated via experimentation or data analysis.

  • Analyzes customer interactions at every touchpoint to measure usability, effectiveness, and client satisfaction within the overall cross-channel client/advisor journey.

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Drives improvements to the digital experience for customers with industry-leading data analytics, visualization, and experimentation approaches and tools. Partners with business stakeholders to understand their critical business questions and data needs, assess opportunities, and measure the resulting impact of product/service enhancements on customer satisfaction and business objectives and key results. Transforms data into impactful business insights, applying data mining, data modeling, natural language processing, and machine learning to structured and unstructured data sources (including digital interactions, customer feedback, chat/call transcripts, customer profile attributes, platform logs, operational metrics, and financial transactions). Creates and publishes interactive reports and dashboards, using Tableau, Power BI, Adobe, and Excel. Writes complex SQL queries against both cloud and on-premise relational database technologies such as Snowflake, MS SQL Server and Oracle. Uses standardized programming languages such as Python, SQL to manage relational databases and perform various operations on the data. Performs exploratory data analysis, using big data technologies and open-source platforms. Works in an Agile development environment using tools like JIRA and Confluence to track issues and automate workflows.
Primary Responsibilities:
  • Develops and executes comprehensive learning agendas that inform strategic business decisions and tackle the key business questions to which stakeholders need answers.
  • Translates business questions into hypotheses that can be validated via experimentation or data analysis.
  • Analyzes customer interactions at every touchpoint to measure usability, effectiveness, and client satisfaction within the overall cross-channel client/advisor journey.
  • Creates data-driven narratives of the customer experience, highlighting both successes and friction points to inform future initiatives and strategies.
  • Presents and delivers actionable insights and recommendations to senior business leaders and product owners, enabling objective, informed business and product decisions.
  • Contributes to project strategy and deliverable planning, influencing the vision and mission, work plans, and timelines.
  • Partners and collaborates effectively with technology, business, and analytics colleagues in an Agile development environment.
  • Develops and maintains working relationships with team members, client stakeholders, and peers.
  • Communicates project updates and recommendations to senior stakeholders, concisely and clearly.
  • Continuously improves data analytics and insights capabilities, monitoring innovation across the analytics industry, and spreading that knowledge and expertise throughout the organization.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing data-driven insights using advanced analytics and data visualization platforms.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing data-driven insights using advanced analytics and data visualization platforms.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing data-driven insights to inform business strategy, including digital experience enhancements, service optimization, audience segmentation, customer experience personalization and new product launch initiatives using SQL, Python, Snowflake, Tableau, and Adobe Analytics.
  • DE performing data modeling, designing large data sets and implementing pre-aggregations and transformations using Snowflake SQL, Python, and Excel to integrate customer data from disparate data sources including digital interactions, customer feedback, chat/call transcripts, customer attributes, platform logs, operational metrics, and financial transactions; and creating advanced visualization modules, reports for real-time insights and automating and updating dash-boards, using Tableau, Adobe Analytics, and Excel.
  • DE developing a comprehensive analytical learning agenda for product usage, success metrics and customer demographics using Adobe, Tableau, and SQL; and consulting with stakeholders and business leaders to articulate business requirements using measurement and experimentation.
  • DE designing measurement strategy and implementation using Adobe Digital Marketing Suite analytical tools and centralized tag management systems that beacon tags to on-premises and off-premise Snow-flake data warehouse.

Experience/Expertise may be gained during graduate degree program.
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Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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