IV.AI is looking for a Data Analyst to join and help perform data analysis on diverse datasets and machine learning model outputs for large enterprise clients and for internal initiatives and products. The ideal candidate should be helpful, responsive, dependable, and comfortable working remotely within a small team with tight deadlines. We value people who thrive working collaboratively in a distributed team and who are enthusiastic about the potential of machine learning.

The Data Analyst’s primary responsibility is to wrangle data, identify and deliver business insights from highly diverse data types and sources, and to deliver compelling narratives, visualizations, and presentations of the data based on agreed upon KPIs.

Salary: $50,000 to $80,000 (in USD) depending on experience

Timezone: PST

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.