United Airlines internship 2025 As a Data Science Intern, you will work with the Analytics and Innovation (Ai) Team, leveraging data analytics and statistical modeling to address complex business challenges. You’ll support multiple departments, including Airport Operations, Network Planning, Revenue Management, and more, developing actionable insights and innovative solutions that influence strategic decisions across the enterprise. This role is ideal for students eager to apply analytical skills in a fast-paced, collaborative environment. .Candidates with B.E./B.Tech./M.E./M.Tech./MCA – CS, IT, Check below for eligibility criteria, responsibilities, and the application process along with resume-building tips. Candidates also apply for Cognizant Off Campus Drive 2025
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Job Description
Anthology Off Campus Drive 2025 Hiring Associate Software Engineer
Responsibilities
- Utilize data analysis, data mining, and statistical modeling to solve business problems.
- Develop and deliver reports and dashboards for leadership and stakeholders using tools like Tableau, Power BI, or Spotfire.
- Analyze complex datasets to uncover patterns and relationships.
- Create insightful presentations and communicate findings effectively to teams and project managers.
- Collaborate with business and technology partners to design innovative solutions for enterprise-wide challenges.
Requirements
Mandatory Qualifications
- Bachelor’s degree or 3rd/4th-year graduate students (6-month internship availability).
- Legally authorized to work in India without sponsorship.
- Advanced skills in Microsoft Office, especially Excel and PowerPoint.
- Proficiency in SQL querying (e.g., Teradata SQL, Microsoft TSQL).
- Familiarity with reporting tools (Spotfire, Tableau, Power BI).
- Strong analytical, interpersonal, and teamwork skills.
- Fluent in English (written and spoken).
- Reliable and punctual attendance.
Preferred Qualifications
- Academic background in Engineering, Technology, Computer Science, Statistics, or related fields.
- Programming proficiency in Python, R, or Pyspark.
Resume Tips
- Highlight Analytical Skills: Emphasize experience in data analysis, data mining, and statistical modeling. Include details about complex datasets you’ve worked on and insights delivered.
- Showcase Tool Proficiency: Mention familiarity with reporting tools (Spotfire, Tableau, Power BI) and SQL expertise (Teradata SQL, Microsoft TSQL).
- Detail Project Contributions: Include examples of projects where you developed dashboards, automated workflows, or optimized reporting processes.
- Emphasize Collaboration: Highlight teamwork in cross-functional environments, focusing on delivering actionable insights for stakeholders.
- Technical Expertise: Demonstrate proficiency in programming languages like Python, R, or Pyspark and your ability to work in fast-paced, data-driven environments.
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