Data and Business Intelligence Associate
1 week ago
Data and Business Intelligence Associate, 14522
Overview:
- Our data teams leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1B members around the world, a focus on great user experience, and a mix of B2B and B2C programs, we offer countless ways for an ambitious data developer to have an impact and transform their career.
- We are looking for a Business and Data Intelligence Associate to join our team. In this role, you will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets and analysis to enable data-driven decision-making for the Customer Success organization.
- Location: Sunnyvale, CA
- Work Schedule: Full Time, Hybrid (2+ days/week)
Responsibilities:
- Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
- Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on our data stack.
- Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
- Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
- Cross-Functional Collaboration: Work closely with cross-functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
- Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.
Basic Qualifications:
- Bachelor's Degree in a quantitative discipline
- 4+ years of experience with SQL/relational databases
- 2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders
- 4+ years of relevant industry or relevant academia experience working with large amounts of data
- 2+ years experience in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)
- 2+ years of experience in data visualization and dashboard design
Preferred Qualifications:
- MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering,
- Statistical modeling project experience with regression models, tree models
- Data pipeline development experience
- Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
- Experience on a / adjacent to a Business Intelligence team
- Self-starter, able to work independently but ask for guidance when needed
- Ability to 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.
Suggested Skills:
- SQL
- Python
- Communication
Compensation:
- Up to $69.67/hr. (W2/Non-Exempt)
Req# 14522
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