Data Analyst

• Analyze large datasets and generate insights for decision-making, leveraging statistical models, machine learning techniques, and advanced analytics to uncover trends and business opportunities.
• Clean, transform, and preprocess data from multiple sources , ensuring data accuracy, consistency, and reliability for in-depth analysis.
• Build interactive dashboards and reports using Power BI, Tableau, or Python (Dash, Matplotlib, Seaborn, Plotly) to present actionable insights to business leaders and stakeholders.
• Develop automated data pipelines and ETL processes , integrating data from APIs, databases, and cloud-based storage solutions for real-time analytics.
• Work with cross-functional teams , including product managers, marketing, finance, and operations, to drive data-driven decision-making and optimize business strategies.
• Apply statistical techniques and predictive modeling , such as regression analysis, clustering, forecasting, and anomaly detection, to enhance business intelligence and performance tracking.
• Ensure data governance, privacy, and compliance , adhering to industry regulations such as GDPR, HIPAA, or financial reporting standards to protect sensitive information.
• Stay ahead of emerging trends in data analytics , adopting AI-powered analytics, big data tools (e.g., Spark, Hadoop), and cloud platforms (AWS, Google Cloud, Azure) to enhance data capabilities.

Requirements:

• Experience with SQL, Python, R, or BI tools .
• Ability to interpret and present complex data.

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