Data Operations Analyst | Flexible, Data Quality & Insights

NielsenIQ; Sindh; On-site; PKR 800,000 - 1,200,000; Part time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ, a leading consumer intelligence firm, is hiring a Data Operations Analyst for the MI OAC project in a one-year contract. You will execute complex data coding, matching, and rigorous quality checks while ensuring timely data delivery.

You will engage with stakeholders, propose improvements, and mentor junior staff during production cycles. Ideal candidates have 6 months to 2 years of experience in data operations, with a bachelor’s or master’s in Business, Economics, or Data Analytics.

Qualifications

• Bachelor’s or Master’s degree in Business, Economics, Data Analytics, or related field.
• 6 months to 2 years of experience in data operations or analytics.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Execute production tasks with expert-level proficiency in data coding and data matching.
• Perform end-to-end quality checks on product features and pricing; identify anomalies.
• Communicate with internal and external stakeholders to implement data changes and resolve queries.
• Lead Root Cause Analysis for data errors or delivery issues and drive resolutions.
• Document processes, findings, and resolutions; mentor junior team members when needed.

Skills

Data Coding

Data Matching

Quality Checks

Root Cause Analysis

Analytical Thinking

Attention to Detail

Education

Bachelor’s / Master’s degree in Business / Economics / Data Analytics

Job description

NielsenIQ, a leading consumer intelligence firm, is hiring a Data Operations Analyst for the MI OAC project in a one-year contract. You will execute complex data coding, matching, and rigorous quality checks while ensuring timely data delivery.

You will engage with stakeholders, propose improvements, and mentor junior staff during production cycles. Ideal candidates have 6 months to 2 years of experience in data operations, with a bachelor’s or master’s in Business, Economics, or Data Analytics.