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Remote

Job Type

Full Time

Job Description

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

provide customer-contact data analysis and automate customer-contact processes


Aftersales Customer Experience (CX) data



About the Team – CURL


CURL team

  • 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.

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