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Internship Python Sql Tableau Jobs in New York (NOW HIRING)

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Equaryon

Data Analyst Internship

Manhattan, NY · On-site

$80 - $100/hr

Maintain comps and transaction datasets; automate updates using Excel, Python or SQL. * Build lightweight dashboards and charts for client materials (Excel/Sheets or a BI tool). * Run quality checks ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with ...

Virtusa Corporation

Consultant

Jersey City, NJ · On-site

Utilize Python and SQL to reduce manual processing and improve system performance. Full-Stack ... Visualization Engineering Develop and maintain high-performance dashboards in Tableau and Power BI ...

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Internship Python Sql Tableau information

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.

Can I get an internship after learning Python?

Yes, internships in roles involving Python, SQL, and Tableau are often available to those who have learned these skills, especially if they have completed relevant projects or certifications. Internships typically seek candidates with foundational knowledge and a willingness to learn, making Python a valuable starting point for entry-level data analysis or software development internships.

Is Tableau in high demand?

Tableau is widely used in data visualization and business intelligence roles, including internships involving Python and SQL. The demand for Tableau skills remains strong across industries as organizations seek to analyze and present data effectively. Proficiency in Tableau can enhance job prospects in data analysis and reporting positions.

What jobs can I get if I know Python and SQL?

Jobs such as data analyst, data scientist, business intelligence analyst, and database administrator often require proficiency in Python and SQL. These roles involve data manipulation, analysis, reporting, and automation, frequently using tools like Tableau for visualization. Strong programming and querying skills are essential for these positions across various industries.

What are popular job titles related to Internship Python Sql Tableau jobs in New York?

For Internship Python Sql Tableau jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Python Sql Tableau jobs in New York look for?

The top searched job categories for Internship Python Sql Tableau jobs in New York are:

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Cities in New York with the most Internship Python Sql Tableau job openings:

Internship Python Sql Tableau jobs near you

Quant Analyst- Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$150 - $200/hr

Other

Posted 17 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks

Job description

Join a team that unifies diverse talent to transform business outcomes through data governance, strategy, reporting, and advanced analytics.


As a Quant Analytics Senior Associate within the Consumer & Community Banking Data & Analytics team, you will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective.


Job Responsibilities

  • Deliver effective quantitative problem solving and analytical research for key pricing initiatives

  • Apply deep understanding of business and data analytical techniques to research and experimentation

  • Lead, mentor, hire, and develop a high-performing team of analytics professionals, promoting scientific rigor, ethical AI, and continuous learning

  • Maintain a pragmatic approach to GenAI/LLMs as complementary tools, prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams

  • Partner with cross-functional teams, including Finance and Marketing, to drive impactful results

  • Design and implement scalable and reliable data analytics processes to optimize business outcomes

  • Conduct extensive analysis of pricing functionality, settings, and customer behavior to improve strategies and policies using advanced research and quantitative techniques

  • Own and support strategic pricing initiatives, including evaluating effectiveness and performing profit & loss analysis to quantify statistical and practical significance

  • Solve unstructured business problems and develop deep-dive analysis of customer behavior using multiple analytics and statistical techniques

  • Conduct hypothesis testing and advanced experimental design, including A/B and multivariate tests, to measure the impact and effectiveness of pricing strategies


Required Qualifications, Capabilities, and Skills

  • Graduate or post-graduate degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning

  • 3+ years of hands-on analytics experience in banking strategic analytics along with Python, SQL and visualization tool including Tableau & Alteryx.

  • Hands on experience in Python, SQL and visualization tool including Tableau with machine learning frameworks

  • Strong statistical and econometric foundation with hands-on experience in pricing analytics, including elasticity estimation, A/B testing, causal inference, and experimentation frameworks

  • Solid skills in advanced analytics with SAS, Python, or R language

  • Excellent communication skills to translate and explain complex models with clear reason codes, influencing cross-functional stakeholders and senior leadership

  • Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs

  • Ability to evaluate opportunities to apply AI, GenAI, or intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency

  • Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration/threshold optimization, imbalanced learning, and pricing sensitivity evaluation


Preferred qualifications, capabilities, and skills

  • Proficient in big data ETL processes for structured and unstructured databases

  • Professional experience with AWS, Spark/EMR, ChatGPT, Confluence, and Snowflake

  • Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.

  • People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.

  • Good understanding of IT processes and databases, with ability to work directly with data owners and custodians

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What JPMorgan Chase & Co. employees say

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