Applyπ United States
π§ Full-Time
πΈ $50,000 - $80,000 per year
π AI and Data Processing
- 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.
- 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 clientβs 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 projectβs 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.
SQLData AnalysisData analysisAttention to detail
Posted 2024-09-20
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