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.

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.

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:

• 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

• 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.