DA2 Data Analyst

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Requirements:

• 1+ years of writing SQL.
• 1+ years of performing statistical analysis.
• Familiarity with data visualization tools.
• Ability to write and speak clearly and thoroughly when presenting work to coworkers and clients.
• Impeccable attention to detail: spotting typos in variables, syntax errors in text, and gremlins in data.
• Experience utilizing analytical methods and techniques such as descriptive, prescriptive, predictive, regression, clustering, etc.
• Experience working with small and large data sets, data cleaning, and insight generation.
• Accommodate PT timezone.
• Bonus: Regular Expressions, PostgreSQL, familiarity with G Suite, BigQuery, Asana, Notion, DataGrip, Github, and Miro.
• Familiarity with other data visualization tools such as Tableau.

Responsibilities:

• Work alongside account managers on client projects, understanding the client need and ensuring that all data-related project deliverables are high-quality and meet the client’s needs.
• Act as liaison between data scientists and the account managers, joining client calls to gather necessary information for projects and to give presentations on findings.
• Work alongside account managers to develop each project’s necessary business logic and connect tasks, outputs, and insights back to client objectives.
• Own report delivery for clients, and contribute to library documentation.
• Contribute to general features for internal product library while delivering for specific clients.
• Create high quality presentations of data and insights for internal documentation and for internal and external presentations.
• Work alongside the data science team to help direct project goals and develop appropriate models based on client need and internal objectives.
• Support the Sales team with demo and sample analysis for preliminary reports and pitch decks.
• Perform data collection, cleaning, and exploration.
• Write comprehensive insights leveraging knowledge of data visualization tools and methods to meet client need and internal objectives using various third party and proprietary platforms.