Data Analyst

Traverse Technology Services; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology solutions provider in the United Arab Emirates seeks an experienced EMAT Data Analyst with 15-17 years in data analysis. The role involves analyzing employee and customer data, developing dashboards, and ensuring data accuracy using SQL, Python, and BI tools. Ideal candidates will have strong analytical skills, a Bachelor's degree, and certifications like EMAT. This position offers the opportunity to work on diverse data projects and contribute to strategic decision-making.

Qualifications

• 15-17 years of experience in data analysis roles, specifically in EMAT data analysis or related fields.
• Proficiency in SQL, Python, SAS, BI reporting tools, Power BI, and MS Excel.
• Strong communication and problem-solving skills.

Responsibilities

• Analyze employee and customer data for trends and develop dashboards.
• Perform data analysis, reporting, and API integration in financial services.
• Transform raw data into insights using statistical methods and visualization.
• Build and optimize Power BI dashboards and ensure data accuracy.
• Process and optimize customer data using SQL and ETL tools.

Skills

SQL

Python

SAS

Power BI

MS Excel

Data Analysis

Data Visualization

CRM Knowledge

Statistical Methods

Data Governance

Education

Bachelor's degree in a related discipline

Certifications such as EMAT

Job description

EMAT Data Analyst

PIPECARE Group, United Arab Emirates

Experience: 15 - 17 Years

Responsibilities

• Analyze employee data for trends, develop dashboards, collaborate on HR initiatives, and ensure data integrity with strong analytical skills.
• Manage customer data accuracy, support users, generate reports, and collaborate with teams, requiring basic CRM knowledge and strong analytical skills.
• Perform data analysis, reporting, and API integration in financial services, requiring expertise in SQL and digital banking solutions.
• Transform raw data into insights using statistical methods and visualization, requiring a Bachelor’s degree, certifications, and experience in data analysis.
• Responsible for data discovery, analysis, and modeling; proficient in SQL, SAS, and BI reporting.
• Prepare daily reports, track performance metrics, and support management with data insights; requires strong analytical skills and proficiency in MS Excel.
• Transform raw data into insights using statistical methods, SQL, and Python; collaborate with teams, ensure data integrity, and support decision‑making.
• Observe data quality and validate integration, create dashboards, and engage stakeholders to optimize financial performance.
• Collect, clean, and analyze data using Microsoft tools, develop reports and dashboards, and possess strong analytical and communication skills.
• Build and optimize Power BI dashboards, ensure data accuracy, and collaborate for actionable insights.
• Investigate data irregularities in casino environments with SQL and Python, focusing on effective communication.
• Support data planning, analysis, and reporting using MS Excel and SQL; ensure data accuracy and inform strategic decisions.
• Analyze educational data, create dashboards, and provide insights to improve school performance using Power BI and SQL.
• Analyze trading data to identify anomalies, manage high‑risk accounts, and use Python and SQL skills in a fast‑paced financial environment.
• Process and optimize customer data using SQL and ETL tools for automotive clients.
• Enhance data governance, reporting, and strategic insights in compliance with regulations, using SQL, Python, SPSS, R, and Excel.
• Analyze in‑line inspection data, ensuring quality reporting and compliance with specifications.
• Collect and analyze real‑estate data, create dashboards, support campaign tracking, and collaborate with teams.
• Perform EMAT data analysis, tool performance checks, and quality assurance, requiring proficiency in analytical tools.

Qualifications

• Experience: 15-17 years in data analysis roles, EMAT data analysis or related fields.
• Bachelor’s degree in a related discipline; certifications such as EMAT preferred.
• Strong analytical skills, proficiency in SQL, Python, SAS, BI reporting tools, Power BI, and MS Excel.
• Experience with CRM knowledge and Microsoft tools.
• Strong communication and problem‑solving skills.
• Knowledge of digital banking solutions or financial services preferred.
• Experience with statistical methods, data visualization, and reporting tools.