Required Skills: Power BI, SQL, Python,
Job Description
Key Skills & Responsibilities
Data Analysis & Exploration
Analyze large, complex datasets using statistical methods to identify trends, patterns, and actionable insights that support organizational growth and efficiency.
Reporting & Visualization
Build, maintain, and enhance dashboards and reports that deliver accurate, on-time information to business stakeholders.
Requirements Gathering
Collaborate with business units to understand reporting needs, translate them into technical requirements, and ensure deliverables align with strategic objectives.
Data Quality & Validation
Ensure data accuracy, consistency, and completeness across multiple sources; troubleshoot discrepancies and implement corrective actions.
Cross-Functional Collaboration
Work closely with IT, operations, and business teams to support data-driven decision-making and continuous improvement initiatives.
Process Improvement
Identify opportunities to streamline data workflows, automate reporting, and enhance analytical capabilities.
Large Dataset Management
Ability to work with high-volume, multi-source datasets in structured and unstructured formats.
Power BI, SQL & Python
Proficiency in building dashboards, writing complex queries, and performing advanced analytics.
Technical & Non-Technical Communication
Skilled at presenting insights to diverse audiences and translating complex data into clear narratives.
Data Modeling & Statistics
Strong understanding of data modeling concepts, statistical analysis, and data engineering fundamentals.
Problem Solving
Ability to diagnose issues, analyze root causes, and develop effective solutions.
Written & Verbal Communication
Excellent communication skills for documentation, presentations, and stakeholder engagement.
Education
Bachelor's Degree in Information Technology, Data Analytics, or related field