# Senior Data Operations Analyst

**Company:** [Commure](https://hotfix.jobs/companies/commure)
**Location:** Dhaka, Bangladesh
**Role:** Data Analytics
**Experience:** 5+ years
**Skills:** SQL, Data Analysis, Quality Assurance, Process Documentation, Data Integrity, Process Optimization, Large Datasets, Written Communication, Verbal Communication
**Posted:** 2026-08-25

> The Senior Data Operations Analyst will perform quality assurance, analyze large datasets with SQL, maintain process documentation, and collaborate across teams to improve operational accuracy. The role requires a bachelor’s degree or equivalent experience, 2–3 years in a technical data-related role, and exceptional attention to detail.

## Job Description

## Responsibilities
- Conduct quality assurance checks on operational processes to ensure accuracy and zero errors.
- Follow detailed processes and maintain comprehensive, up-to-date documentation.
- Analyze large datasets and perform quality checks using SQL and other tools to identify discrepancies, optimize processes, and support business decisions.
- Create detailed instructions and process documents for internal teams.
- Communicate complex topics clearly in written and verbal formats.
- Collaborate with Product, Engineering, Sales, and Account Management teams to uphold quality standards and resolve emerging issues.

## Requirements
- 2–3 years of experience in engineering or a data-analysis-related technical role.
- Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Economics, or a related field, or equivalent work experience.
- Extreme attention to detail and strong accuracy-focused quality assurance skills.
- Proficiency with SQL, including querying and analyzing large datasets to maintain data integrity.
- Strong documentation and process-management skills.
- Excellent written and verbal communication skills.
- Ownership, accountability, adaptability, and the ability to manage ambiguity in a fast-paced environment.

## Compensation & Benefits
- Night shift: 10:00 pm–7:00 am BST.
- Monday to Friday work schedule.

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