Data Quality Analyst - Data Cleansing

DiceTek UAE; Al Ruways Industrial City; On-site; AED 178,560 - 279,000; Full time

Job summary

DiceTek UAE is hiring a Data Quality Analyst - Data Cleansing in Abu Dhabi. This role involves ensuring data accuracy and reliability by implementing quality processes using tools like Python Notebooks, SSIS, and Power BI.

The ideal candidate will have a background in Data Science or Computer Science, along with proven experience in data quality initiatives. This position offers a full-time opportunity in a dynamic IT environment.

Qualifications

• 4-7 years of experience in data quality, cleansing, or validation initiatives.
• Strong understanding of data quality principles and best practices.
• Experience creating data quality reports and dashboards.

Responsibilities

• Use Python Notebooks, SSIS, and Microsoft Fabric for data cleansing.
• Implement processes to improve dataset accuracy and completeness.
• Collaborate with stakeholders to understand data quality issues.

Skills

Data quality

Data cleansing

Data validation

Data profiling

Python Notebooks

SSIS

Microsoft Fabric

Power BI

Education

Bachelor or Master degree in Data Science, Computer Science, Statistics, Information Technology, Data Management, or related field

Tools

Data engineering tools

Job description

Data Quality Analyst - Data Cleansing job snapshot

Role: Data Quality Analyst - Data Cleansing

Location: Abu Dhabi, United Arab Emirates

Industry: IT and Services

Function: Business Analysis-Research

Experience: 4-7 years

Job Type: Full-time

Role Overview

Data Quality Analyst - Data Cleansing in Abu Dhabi, United Arab Emirates is an IT and Services opportunity for a data‑focused professional with strong experience in Python Notebooks, SSIS, Microsoft Fabric, Power BI, data cleansing, quality reporting, and data accuracy improvement. This role is suitable for a detail‑oriented analyst who can identify data issues, clean and validate datasets, build quality metrics, and support business teams with reliable information for reporting, analytics, and decision‑making.

Employment Details

Country: United Arab Emirates

City: Abu Dhabi

Salary: 16000-25000 (estimated)

Key Responsibilities

• Use Python Notebooks, SSIS, Microsoft Fabric builds, Power BI, and equivalent data engineering tools for data cleansing and quality activities.
• Implement data cleaning processes to improve dataset accuracy, completeness, consistency, and reliability.
• Review structured datasets to identify duplicate records, missing values, incorrect formats, invalid entries, and inconsistent information.
• Collaborate with data engineers, business users, reporting teams, governance teams, and technology stakeholders to understand data quality issues.
• Recommend practical solutions to correct data problems and reduce recurring quality gaps across source systems and reporting layers.
• Develop and maintain data quality metrics, reports, dashboards, and progress trackers to measure cleansing effectiveness.
• Support data validation activities by comparing source data, transformed data, and final reporting outputs.
• Assist in defining quality rules, exception handling logic, cleansing standards, and repeatable validation checks.
• Document data issues, cleansing methods, quality findings, remediation actions, and stakeholder updates.
• Work with Power BI and Microsoft Fabric environments to support reliable reporting and clean data models.
• Help automate repetitive data quality tasks to improve speed, consistency, and operational efficiency.
• Support continuous improvement of data quality practices by identifying better tools, processes, and control methods.

Ideal Profile

• Bachelor or Master degree in Data Science, Computer Science, Statistics, Information Technology, Data Management, or a related field.
• Proven experience working on data cleansing, data quality, data validation, or data improvement initiatives.
• Hands‑on experience with Python Notebooks, SSIS, Microsoft Fabric builds, Power BI, and equivalent data engineering tools.
• Strong understanding of data quality principles, cleansing techniques, validation checks, profiling methods, and best practices.
• Ability to collect, organize, analyze, and interpret large datasets with strong attention to detail and accuracy.
• Good analytical and problem‑solving skills with the ability to investigate root causes of data quality issues.
• Experience creating data quality reports, issue summaries, metrics, dashboards, or progress updates.
• Ability to work independently while also collaborating effectively with technical and business teams.
• Strong communication skills for explaining data issues, quality gaps, and improvement recommendations.
• Comfortable working in a fast‑paced environment with multiple data sources, priorities, and stakeholder expectations.

Skills Set

• Data quality, data cleansing, data validation, data profiling
• Python Notebooks, SSIS, Microsoft Fabric, Fabric Builds, Power BI
• Data engineering tools, data quality metrics, data quality reporting
• Data accuracy, data completeness, data consistency, data reliability
• Duplicate data analysis, missing value checks, data transformation
• Quality rules, exception reporting, data issue tracking, root‑cause analysis
• Dashboard support, cross‑functional collaboration, technical documentation
• Data governance support, reporting data validation

Why Join Us

This opportunity is ideal for a data quality professional who wants to work on practical data cleansing and reporting improvement initiatives in Abu Dhabi's enterprise technology sector. The role provides exposure to Python‑based analysis, SSIS, Microsoft Fabric, Power BI, data quality metrics, and cross‑functional data improvement projects where accurate information directly supports stronger business decisions.

About the Company

Dicetek LLC is a technology services and consulting company supporting clients across the UAE and wider region with skilled professionals in data management, business analysis, software development, cloud, cybersecurity, DevOps, and digital transformation. The company helps organizations improve enterprise systems, strengthen data quality, and deliver scalable technology solutions that support reliable business operations and long‑term growth.