BI Developer

OSP India, now part of one.O.

OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future.

Requirements

• Designing and maintaining data pipelines (e.g., from Amazon Connect) to our BI data warehouse.
  
• Modeling and visualizing data through Power BI dashboards to support decision-making on customer-contact processes, service portfolios, and tooling.
  
• Developing and maintaining tools for business departments to audit and manage special payment handling by call center agents.
  
• Collaborating with other teams to automate aftersales customer-contact processes using end-to-end automation and AI/GenAI technologies.

• Develop and maintain ETL pipelines to process and integrate customer-contact data (e.g., call center, CRM, ticketing systems).
  
• Ensure data quality, accuracy, and consistency across all aftersales CX datasets.
  
• Create and enhance Power BI dashboards and data models to support reporting, analytics, and operational insights.
  
• Collaborate with data scientists, automation engineers, and business stakeholders to identify automation opportunities in customer-contact workflows.
  
• Contribute to the design and implementation of (Gen)AI-driven process automation for customer-contact handling and aftersales support.
  
• Support auditing and compliance processes, including tools for payment verification and exception handling.
  
• Continuously optimize data architecture and streamline workflows for scalability and performance.

Essential:

• 
  5–8 years of professional experience as a BI Developer, preferably in a data-driven customer service or aftersales environment.
  
• Degree in Computer Science, Data Engineering, Business Analytics, or related field.
  
• Strong experience with data pipelines, ETL tools, and BI platforms (e.g., Power BI, Azure Data Factory, AWS services).
  
• Solid understanding of data modeling, SQL, and data warehouse concepts.
  
• Experience with Python, SQL, or related scripting languages for data transformation.
  
• Ability to interpret complex datasets and translate insights into actionable business recommendations.

Preferred:

• Familiarity with Amazon Connect or other customer contact center platforms.
  
• Experience with process automation tools (e.g., UiPath, Power Automate, or custom workflow automation).
  
• Exposure to AI/GenAI-based automation solutions (e.g., chatbots, language models, voice analysis).
  
• Understanding of Aftersales or Customer Service operations in large organizations.

Soft Skills

• Analytical and structured problem-solving mindset.
  
• Strong communication and stakeholder management skills.
  
• Team-oriented, proactive, and able to work in cross-functional environments.
  
• Curiosity and drive to continuously improve processes and tools.

What We Offer

• Opportunity to shape the future of data-driven customer contact and automation in aftersales.
  
• Collaboration with experts across data engineering, AI, and customer experience domains.
  
• Modern tech stack and flexible working environment.
  
• Continuous learning and professional development opportunities.

Benefits