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.
Mission
Our mission is to provide customer-contact data analysis and automate customer-contact processes.
We deliver insights from Aftersales Customer Experience (CX) data and build automated data-driven solutions that enhance the efficiency and quality of customer interactions.
Requirements
About the Team CURL
The CURL team is responsible for:
- 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.
Key Responsibilities
- 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.
Qualifications & Skills
Essential:
- 58 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
- Flexible Working Hours: Support for work-life balance through adaptable scheduling.
- Comprehensive Medical Insurance: Coverage for employees and families ensuring access to quality healthcare.
- Hybrid Work Model: Blend of in-office collaboration and remote work opportunities with four days a week in the office.
Required Skills:
Power BI data models Python
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 innova...
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.
Mission
Our mission is to provide customer-contact data analysis and automate customer-contact processes.
We deliver insights from Aftersales Customer Experience (CX) data and build automated data-driven solutions that enhance the efficiency and quality of customer interactions.
Requirements
About the Team CURL
The CURL team is responsible for:
- 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.
Key Responsibilities
- 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.
Qualifications & Skills
Essential:
- 58 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
- Flexible Working Hours: Support for work-life balance through adaptable scheduling.
- Comprehensive Medical Insurance: Coverage for employees and families ensuring access to quality healthcare.
- Hybrid Work Model: Blend of in-office collaboration and remote work opportunities with four days a week in the office.
Required Skills:
Power BI data models Python
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