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- Hourly pay: $50-$60 (Pay varies based on candidate's location and experience)
- Worksite: Leading professional development and networking company (Remote, candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 6 Month Assignment
- Advanced Data Analysis: Conduct complex analyses on large datasets to uncover trends, correlations, and patterns that drive customer success strategies.
- Insight Generation and Communication: Utilize statistical analysis and predictive modeling to inform decision-making. Translate findings into actionable insights for non-technical stakeholders
- Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
- Cross-Functional Collaboration: Work closely with cross-functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
- Reporting and Visualization: Create interactive reports and visualizations that clearly communicate analytical results to stakeholders across the organization.
- Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.
- Project Management: Lead analytics projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
- 2+ years of Business analytics experience in a medium-to-large company
- 4+ years of relevant industry or relevant academia experience working with large amounts of data
- 4+ years of Experience with SQL/Relational databases
- 4+ years experience in at least one programming languages (e.g., R, Python (pandas), Java, Scala, PHP, JavaScript)
- 4+ years of Statistical modeling project experience, including but not limited to regression, tree-based, and clustering models
- 4+ years of Experience in data visualization and dashboard design
- Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
- MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering.
- Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance preferred.
- Experience with forecasting modeling preferred.
- Experience on a / adjacent to a Business Intelligence team preferred.
- Experience with customer bookings or CRM data preferred.
- Experience with SQL/Relational databases.
- Experience working with databases that power APIs for front-end applications.
- Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
- Experience in developing data pipelines using Spark and Hive.
- Deep understanding of technical and functional designs for relational and MPP Databases.
- Experience working in the product analytics domains.
- Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc.
- Background in at least one programming language (e.g. Python, Java, Scala, PHP, JavaScript).
- Knowledge of Unix and Unix-like systems, git, and review board.
- Self-starter, able to work independently but ask for guidance when needed
- Speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.
- Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities.
- Demonstrated ability to navigate complex data environments and provide guidance to business leaders.
- Self-starter & independent.
Data Science Analyst #PP - Sunnyvale, United States - Avispa
Description
Data Science Analyst #13244 #PPA leading professional networking company is seeking a Software Engineer.The successful candidate will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. The ideal candidate has 4+ years of relevant industry or relevant academia experience working with large amounts of data. The company offers agreat work environment
Data Science Analyst Pay And Benefits