Data Analyst

We are seeking a highly skilled Data Analyst with a specialization in data visualization to join our team. The ideal candidate will possess advanced technical skills to convert complex data sets into visually compelling and actionable insights. This role demands proficiency in various data visualization tools, data extraction techniques, and a deep understanding of data architecture to enhance data-driven decision-
making processes within the organization.

Key Responsibilities:
Collaborate with data engineers, data scientists, and business stakeholders to gather and translate business requirements into technical specifications for data visualizations.

• Design, develop, and maintain advanced interactive dashboards and reports using tools such as Tableau, Power BI, and looker.
• Ensure data accuracy and integrity by implementing robust data cleaning, transformation, and validation processes using SQL and ETL tools.
• Conduct in-depth analysis of large datasets using advanced statistical methods and machine learning algorithms to identify trends, patterns, and actionable insights.
• Develop custom data visualizations using programming languages such as Python or JavaScript libraries.
• Automate data extraction, transformation, and loading processes using SQL, Python, or other
  scripting languages to streamline data workflows.
• Optimize performance of data visualizations and dashboards, ensuring scalability and efficiency in handling large datasets.
• Present complex data findings through well-structured visualizations and narratives to both technical and non-technical stakeholders.
• Provide technical mentorship to junior analysts in data visualization techniques and best practices.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
• 7+ experience as a Data Analyst with a strong emphasis on data visualization and advanced
  analytics.
• Proficiency in data visualization tools such as Tableau, Power BI and related technologies.
• Advanced SQL skills for complex data extraction, manipulation, and optimization.
  Proficiency in programming languages such as Python.
• Solid understanding of data warehousing concepts and ETL processes.
  Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
• Strong analytical and problem-solving skills with a focus on statistical analysis and machine learning.
• Excellent communication skills with the ability to convey technical information clearly and concisely.
• Detail-oriented with a strong commitment to data accuracy and quality.