We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team. In this role, you will be at the forefront of transforming raw data into strategic business assets. You will work with large, complex datasets using cutting-edge tools like SQL, Python, and Tableau to uncover trends, optimize processes, and drive measurable business outcomes. If you are passionate about data storytelling and thrive in a fast-paced, results-driven environment, this is the opportunity for you.

Job Purpose

The primary purpose of this role is to collect, process, analyze, and interpret large datasets to uncover actionable insights that drive data-informed business decisions and strategic initiatives. The Data Analyst will ensure data accuracy, streamline reporting processes, and deliver high-impact analyses that empower stakeholders across the organization.

Job Duties and Responsibilities

• Collect, process, and clean large datasets from multiple sources to ensure data integrity and accuracy
• Perform statistical analysis and exploratory data analysis to identify trends, patterns, and anomalies
• Deliver 5+ actionable insights per sprint to support data-informed business decisions
• Build and maintain 3+ automated dashboards using Tableau and Power BI for real-time performance monitoring
• Design and manage ETL processes to streamline data pipelines and improve data accessibility
• Reduce reporting turnaround time by 20% through process optimization and automation
• Apply machine learning basics to enhance predictive analytics and forecasting capabilities
• Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements
• Present findings and recommendations to stakeholders, achieving 90% satisfaction on analyses delivered
• Monitor and improve data accuracy by 15% quarterly through rigorous validation and quality checks

Required Qualifications

• SQL
• Python
• R
• Tableau
• Power BI
• Excel
• Statistical Analysis
• Data Cleaning
• ETL Processes
• Machine Learning Basics
• Proven experience in data analysis and interpretation of large datasets
• Strong problem-solving and critical-thinking skills
• Excellent communication and data storytelling abilities