Data Analyst

Overview

We are looking for a meticulous and analytical Data Analyst to gather, process, and interpret complex datasets that will fuel informed business decisions. This role involves converting raw data into actionable insights through comprehensive reports and visualizations, and collaborating closely with various functional teams to drive business improvement.

Primary Responsibilities

• Gather, cleanse, and verify data from diverse sources ensuring its reliability.
• Conduct in-depth analysis of substantial datasets to detect trends, patterns, and business opportunities.
• Create comprehensive reports, dashboards, and data visualizations using platforms such as Power BI, Tableau, or Excel.
• Develop and execute SQL queries to retrieve and manipulate data efficiently.
• Explain data-related findings clearly to stakeholders through effective presentations.
• Track vital performance metrics and suggest data-backed recommendations for enhancement.
• Work collaboratively with business units to grasp their data needs and requirements.
• Maintain data accuracy, security, and integrity standards consistently.
• Contribute to strategic business planning with insights grounded in data analysis.

Required Qualifications

• A bachelor's degree in disciplines such as Data Science, Statistics, Computer Science, Mathematics, Economics, or similar fields.
• Proficient in SQL, advanced Microsoft Excel techniques, and data visualization tools.
• Experience or familiarity with programming languages like Python or R for data analysis is advantageous.
• Strong analytical thinking and problem-solving capabilities.
• Excellent skills in communicating and delivering presentations.
• Capability to work autonomously and collaborate within team settings.

Preferred Competencies

• Understanding of statistical methods and predictive modeling.
• Experience dealing with databases and ETL workflows.
• Basic knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Awareness of business intelligence frameworks and methodologies.