Data and Business Intelligence Associate

Avispa Technology•Sunnyvale, CA

6d•$55 - $65•Hybrid

About The Position

A leading professional networking company seeks a Data and Business Intelligence Associate. The successful candidate 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. The company offers a great work environment!

Requirements

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 academia experience working with large amounts of data.
2+ years of 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.
Bachelor's Degree in a quantitative discipline.

Nice To Haves

MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, or engineering is preferred.
Statistical modeling project experience with regression models and tree models is preferred.
Data pipeline development experience is preferred.
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance is preferred.
Experience on a / adjacent to a Business Intelligence team is preferred.

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 the 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.