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Principal Data Operations Analyst

External
Nielseniq logoNielseniq · Vadodara, India
Full-timeOn-site2d ago
ComplianceData AnalysisExcelPythonSQL
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Requirements

  • Master's in mathematics or Statistics ( Mandatory).
  • Must have working knowledge of SQL.
  • Good to have programming knowledge like Python.
  • Experience of 3-5 years
  • This role is for B4 Level, hence B3 and B4 can apply

Benefits

Flexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQNIQ is the world's leading consumer intelligence company, delivering the most complete understaHealth insuranceFlexible schedule

Additional Information

Accountable for keeping data in NIQ's store repository complete, accurate and up to date - Reviews data for deficiencies or errors, correct any incompatibilities if possible and check outputs. - Research and obtain further information for incomplete data. - Conducts desk research and update store repository with Modern Trade address lists from various sources including internet. - Responds to queries for any store related information. - Accountable for maintaining NIQ Panel & setting up requirements for store recruitment planning. - Work on making the NIQ panel efficient. - Engage and agree with stakeholders on prioritization of issues, root cause analysis and proposed solution. - Executes action plans, monitors execution & makes recommendations to all the stakeholders. - Interpret panel health KPIs & data, analyzing results and reports using statistical techniques and providing ongoing reports. - Prepare panel management related reports for internal and external stakeholders in excel or using panel analytics tools. - Maintain work documents and SOPs. - Support maintaining work documents and SOPs. - Support stakeholders/process owners to track and assess the results of implemented solutions to ensure that desired outcomes have been met. - Support manager and/or leading monthly engagement meetings with stakeholders. - Support manager in conducting training sessions for stakeholders. Statistical Operations - Accountable for managing e2e NIQ's Statistical Operations processes with a goal of delivering high quality and on-time data to clients according to SLAs. This would also include extensive data analysis using statistical/mathematical techniques. - Address client queries related to Statistical Operations - Ensure representation of the local market conditions in the delivery processes - Accountable for critical to quality decisions in Statistical Operations processes - Partners with Operations Enablement team/Process Engineering to drive the establishment, implementation and maintenance of the standards and governance of Statistical Operations Processes. - Maintain two-way communication process with other Pillar Leads, Country Output leads, and other Operations functions - ensuring end-to-end alignment. - Participation in regional/global company initiatives as required, from Enablement, BPI, Data Science, or other functions within NIQ. Must have excellent Advanced Excel working knowledge. - Must have pro-active problem-solving skills. - Must skills of doing root cause analysis. - Must have excellent analytical skills (both approach and execution) - Must have ability to make judgements based on information gathered to make sound recommendations to stakeholders. - Must have knack for attention to details. - Must have inclination towards innovation in her/his day-to-day workings. - Should be able to effectively collaborate across functions, geographies and cultures, with effective communication (verbal and written) - Should have good presentation skills and should have ability to develop contextually rich and visually compelling presentations to communicate solutions. - Should have strong interpersonal skills, be technically savvy, creative, curious, always willing to learn new things, adaptable and self-driven. - Should demonstrate evidence of planning and organization skills and should have the ability to work quickly and accurately in pressured environment. - Should have flexible approach to working hours and should be ready to work in different time-zones


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