Data & Business Intelligence Analyst

Avispa Technology•Sunnyvale, CA

1d•$40 - $55•Remote

About The Position

The leading professional networking and job search platform is seeking a Data & Business Intelligence Analyst. The successful candidate will lead data-driven recommendations and insights to support strategic projects across Go-to-Market Operations. The company offers a great work environment!

Requirements

2-4 years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
BS degree in a quantitative discipline is preferred.
Experience with manipulating massive-scale structured and unstructured data is preferred.
Experience creating and maintaining business-critical data warehouse tables using SQL is preferred.
Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.) is preferred.
Knowledge and experience of leveraging AI tools for Data/Insights research is preferred.
Familiarity with the advertising and media agency ecosystem, including agency hierarchies, multi-market coverage models, and client–agency relationships, is preferred.
Ability to leverage numbers and insights to influence & drive sound decision-making is preferred.
Ability to build strong partnerships and collaborate with stakeholders is preferred.
Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript) is preferred.

Responsibilities

Understand the business, track data quality, provide insights, and recommendations.
Support company-wide programs through ownership of analytical projects.
Own technical implementations and documentation associated with datasets and strive for 100% accuracy.
Possibility to learn & implement advanced analytics tools/AI for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation).
Lead high-impact data cleanup efforts by applying analytical judgment to ambiguous datasets, leveraging querying and analysis tools (e.g., SQL), and establishing best-practice classification and decision frameworks to enable scalable automation.
Execute data updates directly in Salesforce and related systems, partnering with GTM Ops, Sales, and cross‑functional stakeholders to validate changes while ensuring accuracy, consistency, and completeness.