DATA ANALYST

Key Responsibilities

• Analyze large-scale, complex datasets from multiple sources, ensuring accuracy, consistency, and reliability.
• Build advanced statistical models, predictive models, and machine learning algorithms to forecast trends and inform business strategy.
• Design and implement end-to-end analytics solutions, including data pipelines, ETL processes, and automated reporting.
• Develop and maintain interactive dashboards and visualizations using advanced features of tools like Tableau, Power BI, or Looker.
• Conduct root cause analysis of business problems and recommend data-driven solutions.
• Collaborate closely with data engineers, product managers, and business leaders to translate analytical insights into actionable initiatives.
• Ensure data governance, security, and compliance standards are strictly followed.

Required Skills & Expertise

• Minimum 5 years of proven experience in data analytics or business intelligence roles.
• Expert-level SQL, including query optimization and working with large-scale databases.
• Advanced proficiency in Python or R for statistical modeling, predictive analytics, and data manipulation.
• Strong experience with machine learning techniques, predictive modeling, and statistical analysis.
• Hands-on experience with big data technologies like Hadoop, Spark, Hive, or similar platforms.
• Advanced data visualization skills (Tableau, Power BI, Looker) with the ability to create dynamic dashboards for executive management.
• Knowledge of cloud-based analytics platforms (AWS, GCP, Azure) and data warehousing solutions.
• Solid understanding of data modeling, data architecture, and ETL processes.
• Strong analytical, problem-solving, and storytelling skills to explain complex concepts to non-technical stakeholders.