Data Analyst

April 18

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IV.AI

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Artificial Intelligence • Data • Research • Technology • Bots

51 - 200

Description

• 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.

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 co-workers 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

Benefits

• Health Care Plan (Medical, Dental & Vision) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Work From Home