Role & responsibilities : 1. Data Collection & Data Management : - Gather, clean, and preprocess data from various sources (databases, spreadsheets, APIs, etc.). - Maintain and organize databases to ensure data is accessible and accurate. 2. Data Analysis : - Analyze large datasets to identify trends, patterns, and insights that can help with business decision-making. - Use statistical tools and techniques to interpret data and generate actionable insights. - Perform data validation to ensure data integrity. 3. Data Visualization : - Create reports, dashboards, and visualizations (using tools like Excel, Tableau, Power BI, or Python libraries like Matplotlib/Seaborn). - Present findings clearly to non-technical stakeholders in an easy-to-understand format. 4. Reporting : - Prepare and present regular reports on business metrics and key performance indicators (KPIs). - Monitor data trends and provide timely reports on business performance. 5. Collaboration : - Work closely with different teams (marketing, finance, operations, etc.) to understand business objectives and data needs. - Provide data-driven recommendations for improvements in business strategies. Preferred Candidate Profile : 1. Educational Qualifications : - A bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, Economics, or Business Administration. - Certifications in data analysis, statistics, or data science (e.g., Microsoft Power BI, Google Data Analytics, Tableau, etc.) are a plus. 2. Technical Skills : - Proficient in Data Analysis Tools : Excel, SQL, R, Python (for analysis), and statistical software. - Data Visualization : Knowledge of tools like Tableau, Power BI, or advanced Excel techniques for creating charts, graphs, and dashboards. - Data Management : Understanding of databases (SQL, NoSQL) and ability to extract, clean, and manipulate data. 3. Analytical & Statistical Skills : - Solid understanding of statistical methods and their application in data analysis. - Ability to perform exploratory data analysis (EDA), hypothesis testing, and regression analysis. - Comfort with interpreting and analyzing large and complex datasets. 4. Problem-Solving & Critical Thinking : - Strong analytical mindset to uncover patterns and provide actionable insights. - Ability to break down complex problems and analyze them systematically. - Creative in finding ways to apply data to solve real business challenges. 5. Communication & Presentation Skills : - Ability to communicate complex data findings to non-technical stakeholders in a simple and clear way. - Experience in presenting reports and insights to business leaders and executives. - Strong written and verbal communication skills. 6. Attention to Detail : - High level of accuracy and attention to detail when working with data and generating reports. - Ability to spot data inconsistencies, errors, or gaps. 7. Teamwork & Collaboration : - Ability to work cross-functionally with different teams to gather requirements and deliver insights. - Strong interpersonal skills and adaptability in a fast-paced, evolving business environment.

Middle East

Overseas/International

Data Analyst 

Job Description for Data Analyst  in Good Co. in  UK Middle East Overseas/International for (4-8) years of experience. Apply Now!