Data Analyst

Responsibilities:

• Query Execution: Proficiently run intricate queries across diverse data sources to extract necessary information.
• Data Distillation: Transform complex data into concise, visually compelling slides and documents for clear communication and decision-making purposes.
• Narrative Crafting: Develop comprehensive narratives that contextualize and explain distilled data, facilitating understanding for varied audiences.
• Troubleshooting Expertise: Identify and resolve issues within Tableau or databases through meticulous troubleshooting methodologies.
• Code Interpretation: Analyze Tableau and Python code to pinpoint bugs, flawed designs, or inefficiencies affecting data integrity or visualization outcomes.
• Solution Proposition: Offer informed solutions and enhancements based on learned insights and nuances, aimed at addressing identified issues effectively.

Required Skills:

• Self-starter: Demonstrated ability to initiate and drive tasks independently within a data-centric environment.
• Data Querying Proficiency: Strong command in querying data within AWS, navigating complex joins across multiple databases to trace and troubleshoot issues at their source.
• Code Interpretation: Capable of interpreting code to pinpoint discrepancies leading to inaccuracies in data.
• Tableau Expertise: Technical proficiency in comprehending and analyzing Tableau reports, including understanding source data, calculations, and nuances within Tableau workbook structures.
• Effective Collaboration and Communication: Skilled in collaborating and communicating effectively with diverse business and analytics teams at various seniority levels.
• Troubleshooting Skills: Proficient in resolving Tableau access and data-related issues.
• Storytelling through Keynote Slides: Ability to create compelling keynote slides that effectively convey a narrative through data visualization and storytelling.

Minimum Experience Requirements:

• At least 1 year of hands-on experience in each of the following:
  • Querying in AWS data stores.
  • SQL proficiency.
  • Tableau expertise.
  • Data analysis techniques.
  • Visual storytelling through data.
  • Python programming for data analysis.