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    NielsenIQ

    Media Measurement

    Senior RBE Expert

    Karachi, PakistanHybridFull-timePosted 1w ago
    All NielsenIQ jobs

    Job description

    We are seeking a seasoned RBE Expert to join our Production OPS Automation team. In this senior-level role, you will be instrumental in driving operational excellence, ensuring data integrity, and optimizing production workflows. You will oversee critical tasks such as data analysis, normalization, and standardization in alignment with DKE rules, while conducting rigorous quality checks to meet business and operational objectives.

    Beyond technical execution, you will lead team coordination, manage stakeholder engagement, and resolve issues effectively. Your responsibility spans the entire production lifecycle—ensuring timely, accurate data delivery and maintaining the highest standards of quality. With a strong focus on process improvement, you will identify inefficiencies and implement solutions that enhance team performance, reliability, and scalability.

    Key Responsibilities

    • Develop and implement rules for SDE/DKE using customer feed files or crawled data sources
    • Apply advanced expertise in MS Excel, including macro creation and complex formula development
    • Interpret and manage technical data structures and formats with precision
    • Conduct in-depth internet research for technical and product-related information
    • Perform data analysis and problem-solving to support operational goals
    • Demonstrate strong category knowledge with meticulous attention to detail
    • Exhibit a professional, proactive, and positive approach to work
    • Make effective decisions in dynamic and fast-paced environments
    • Utilize web crawling tools and techniques (experience preferred)
    • Drive innovation and continuous improvement in automation processes
    • Collaborate effectively under supervision while managing medium- to high-complexity tasks
    • Communicate clearly with cross-functional teams and stakeholders
    • Foster a culture of accountability, learning, and excellence within the team
    • Support colleagues on critical tasks and deliverables
    • Conduct thorough quality checks to ensure accuracy and consistency of data outputs
    • Ensure timely and accurate delivery of outputs in compliance with SLAs

    Required Skills & Competencies

    • Minimum 4 years of experience in Production OPS
    • Demonstrated expertise in data coding, analysis, and quality assurance
    • Strong analytical and problem-solving capabilities
    • Experience in team coordination and workload management
    • Excellent communication and stakeholder management skills
    • Proficiency in tools such as Excel, IONA, DKE, and SDE platforms

    Preferred Qualifications

    • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
    • Hands-on experience in data analysis.
    • Familiarity with AI-driven solutions and automation tools.

    Our Benefits

    • Flexible working environment
    • Volunteer time off
    • LinkedIn Learning
    • Employee-Assistance-Program (EAP)

    NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

    About NIQ

    NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

    For more information, visit NIQ.com

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    Our commitment to Diversity, Equity, and Inclusion

    At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

    Job details are sourced from the employer's original posting.

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    About the company

    NielsenIQ

    At NIQ, our Media Measurement Technology Projects operate on a global scale, supporting some of the world’s largest media companies. We’re addressing the challenges of a rapidly evolving media landscape and hyperdynamic client needs, where streaming, digital, and traditional platforms converge, and audience behaviors shift constantly. Our solutions span legacy TV and radio measurement, digital tracking, and cutting-edge cross-platform analytics. 

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