This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a BAP - Data Analyst based in India.
Join a data and risk-focused team as an early-career analyst and gain hands-on experience working with large-scale business data. You will contribute to SQL-based data pipelines, analytics workflows, data standardization, and quality initiatives. The role provides an opportunity to work with real-world datasets while learning from experienced data professionals. You will help transform and organize data so it can support reliable analysis, reporting, and risk-related decision-making. The position combines technical development with practical exposure to cross-functional data projects. This is a strong opportunity to build foundational skills in data engineering and analytics within a fast-paced, technology-driven environment.
Accountabilities:
- Assist with the development, maintenance, and improvement of SQL-based data pipelines and analytical workflows.
- Support data standardization and normalization initiatives, including activities such as address parsing and entity resolution.
- Help develop and optimize data models, dashboards, reports, and other analytical outputs.
- Conduct ad-hoc data analysis under the guidance of senior team members and communicate findings clearly to the wider team.
- Assist with monitoring data quality and implementing validation rules to improve the reliability and consistency of datasets.
- Support data preparation, transformation, and analysis across large-scale datasets.
- Collaborate with colleagues on cross-functional data initiatives and contribute to the delivery of shared analytical objectives.
- Develop practical understanding of data analytics, risk management, fraud detection, and data-driven business processes.
- Document analytical work and contribute to maintaining consistent and reusable data processes.
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative discipline.
- Solid SQL skills, with familiarity with Hive SQL or Spark SQL considered an advantage.
- Basic proficiency in at least one scripting or programming language, with Python preferred.
- Strong interest in data analytics, risk management, fraud detection, data quality, or related fields.
- Analytical mindset with strong logical reasoning and attention to detail.
- Good communication skills and the ability to explain analytical findings clearly.
- Eagerness to learn, take initiative, receive feedback, and develop new technical skills.
- Ability to collaborate effectively with senior team members and cross-functional stakeholders.
- Comfortable working with structured processes while remaining proactive when investigating data issues or patterns.
- Availability for at least 3 days per week and commitment to a minimum 3-month internship.
Benefits:
- Hands-on experience working with real-world, large-scale datasets and data analytics projects.
- Opportunity to develop practical SQL, Python, data modeling, data quality, and analytical skills.
- Exposure to data standardization, normalization, risk analytics, and fraud-related use cases.
- Mentorship and guidance from experienced data professionals.
- Opportunity to collaborate with talented colleagues in a global and user-focused technology environment.
- Exposure to fast-paced projects and cross-functional data initiatives.
- Opportunities for continuous learning, professional development, and career growth.
- Competitive compensation and applicable company benefits, subject to local terms.
- Work-from-home arrangement, depending on the requirements of the relevant business team.
- Flexible internship structure requiring a minimum of 3 days per week, with a minimum 3-month commitment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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