Data Analyst

Overview

Data Analyst Jobs in Abu Dhabi, UAE at Agoda

Roles and Responsibilities

A Data Analyst  is responsible for collecting, processing, analyzing, and interpreting large datasets to help organizations make informed decisions. The role is pivotal in turning raw data into actionable insights, often focusing on identifying patterns, trends, and key metrics that support business strategies, operations, and growth. Data Analysts use a combination of statistical methods, data visualization techniques, and analytical tools to process data and communicate their findings effectively.

Here’s a detailed breakdown of the key skills, responsibilities, and qualifications typically required for a Data Analyst :

Key Skills for a Data Analyst  Data Collection and Cleaning:  Data Extraction:  Extracting data from various sources, such as databases, spreadsheets, APIs, and web scraping. Data Cleaning:  Removing errors, duplicates, and inconsistencies in the data to ensure high-quality, usable datasets.

Statistical and Analytical

Skills:

Statistical Analysis:  Proficiency in performing statistical analysis to identify patterns, correlations, and trends in data. Data Modeling:  Creating models to predict future trends and behaviors using historical data.

SQL and Database Management:  SQL (Structured Query Language):  Proficiency in querying relational databases (e.g., MySQL, Postgre

SQL, SQL Server) to extract and manipulate data. Database Management:  Understanding how databases work and being able to manage, organize, and optimize them for efficient querying.

Data Visualization:  Data Visualization Tools:  Creating clear and effective visual representations of data using tools such as Tableau , Power BI , or Google Data Studio . Charts and Graphs:  Designing charts, graphs, and dashboards to present data insights in a visually appealing and easy-to-understand manner.

Excel and Spreadsheet Management:  Expertise in using Excel  for data analysis, including pivot tables, VLOOKUP, macros, and advanced formulas. Handling large datasets and performing complex calculations in Excel efficiently.

Programming

Skills:

Python or R:  Knowledge of programming languages such as Python or R for performing data manipulation, statistical analysis, and automation of data processing tasks. Pandas, Num Py (Python), dplyr (R):  Libraries for data analysis in Python and R, used for data manipulation, aggregation, and statistical analysis.

Business Acumen:  Ability to understand business processes and translate data insights into actionable recommendations that align with business goals. Knowledge of key performance indicators (KPIs) and metrics relevant to the industry or department.

Problem-Solving

and

Critical Thinking

:  Ability to approach data analysis challenges with a logical, analytical mindset to uncover insights. Developing solutions to address specific business problems based on data findings.

Communication

and Presentation

Skills:

Strong written and verbal

communication skills

to present data findings to non-technical stakeholders. Ability to explain complex data insights in simple, understandable terms for decision-makers.

Soft Skills

Attention to Detail

:  Ensuring accuracy in data analysis, especially when dealing with large datasets, to avoid errors and ensure reliable insights. Thoroughly checking data for inconsistencies, missing values, and outliers.

Time Managem…

Title: Data Analyst

Company: Agoda

Location: Abu Dhabi, UAE

Category: IT/Tech, Business