XPO is hiring interns and fresh graduates from the 2025-2026 graduating batches for Business Intelligence and Data Engineer roles in Hyderabad. We are looking for candidates with strong knowledge of Python, SQL, Looker, Power BI and Tableau

Job Title: Business Intelligence (BI) Intern

Location: Hyderabad

Duration: 1 Year

Department: Business Intelligence / Data Analytics

Reports to: BI Manager

Experience: 0 to 1 Year

About the Role:

We are looking for a motivated and detail-oriented Business Intelligence (BI) Intern to join our team. This internship offers a unique opportunity to work with real-world data, gain hands-on experience with BI tools, and contribute to data-driven decision-making processes across the organization.

Key Responsibilities:

- Assist in collecting, cleaning, and transforming data from multiple sources.
- Support the development and maintenance of dashboards and reports using Looker.
- Analyze trends and patterns to provide actionable insights to various departments.
- Translate data into clear, compelling stories and presentations that help stakeholders understand insights and make informed business decisions.
- Collaborate with cross-functional teams to understand data needs and deliver relevant solutions.
- Document BI processes, reports, and data models for knowledge sharing and future use.
- Perform adhoc data analysis to support ongoing projects and business initiatives.

Preferred Qualifications:

- Recently completed a bachelors or masters degree in data science, Computer Science, Information Systems, Statistics, Business Analytics or a related field.
- Robust analytical and problem-solving skills.
- Proficiency in Excel and familiarity with SQL.
- Basic understanding of data visualization tools (e.g. Looker, Power BI, Tableau).
- Excellent communication and teamwork skills.

Job Title: Trainee Data Engineer (Internship Program)

Location: Hyderabad

Duration: 12 Months

Experience Level: 01 Years

Reports To Manager, Data Engineering

About this Role:





We are looking for a motivated and detail-oriented Data Engineering Intern to join our Data Engineering team. This internship offers a unique opportunity to work with real-world data, gain hands-on experience with ETL tools, and contribute to data-driven decision-making processes across the organization.

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Key Responsibilities

- Develop BI/Data solutions focused on Data Engineering and Analytics using Python, Machine Learning, RDBMS, R, SQL, Data Modeling,, Unix Scripting, GCP services, IICS(Informatica Intelligent Cloud Services),Google Bigquery databases.
- Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines..
- Collaborate with cross-functional teams to understand data needs and deliver relevant solutions.
- Perform adhoc data analysis to support ongoing projects and business initiatives.
- Documentation: Maintain and update process documentation, support guides, and knowledge base articles.
- Implement data quality and validation procedures, including data pipeline error monitoring and issue resolution, to maintain the integrity of critical data assets.
- Troubleshoot and resolve integration issues and incidents within the Informatica platform while maintaining the highest level of data quality and integrity.
- Learn and utilize data orchestration tools like Apache Airflow for scheduling and monitoring data workflows.
- Perform ongoing platform administration tasks, including user management, data security, performance tuning, and system upgrades, to ensure optimal performance and data reliability.

Preferred Qualifications:

- Recently completed a bachelors or master’s degree in data science, Computer Science, Information Systems, Statistics, Business Analytics or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in SQL/NoSQL.
- Proficiency in Python for data processing and scripting.
- Basic understanding of ETL Tools (e.g Informatica, Datastage etc)
- Basic understanding of data visualization tools (e.g. Looker, Power BI, Tableau).

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