Data Analyst

at  Findem

San Francisco Bay Area / US (Remote)
Engineering /
Full Time /
Remote
What is Findem:
Findem is the only talent data platform that combines 3D data with AI. It automates and consolidates top-of-funnel activities across your entire talent ecosystem, bringing together sourcing, CRM, and analytics into one place. Only 3D data connects people and company data over time - making an individual’s entire career instantly accessible in a single click, removing the guesswork, and unlocking insights about the market and your competition no one else can. Powered by 3D data, Findem’s automated workflows across the talent lifecycle are the ultimate competitive advantage. Enabling talent teams to deliver continuous pipelines of top, diverse candidates while creating better talent experiences, Findem transforms the way companies plan, hire, and manage talent. Learn more atwww.findem.ai
Why we need you:
We’re seeking a skilled Data Analyst with a proven track record in navigating vast amounts of data to join our Data Strategy team. This role is crucial in spearheading essential data quality improvement initiatives to enable our users to plan better, hire right, and decide faster.
Data is at the heart of our product. Our unique 3D data empowers customers to make informed decisions that surpass the capabilities of traditional keyword searches. You will be responsible for diagnosing and triaging complex data issues, advising stakeholders on critical decisions backed by data, and uncovering insights within vast datasets to provide innovative solutions to various data challenges.
In this role, you will become a trusted advisor for stakeholders regarding the data at Findem. Our customer base ranges from small, founder-operated start-ups to Fortune 500 global enterprises. By joining our data team, you will play a pivotal role in driving innovations, helping our customers unlock the full potential of 3D data for more informed and effective decision-making.
What you’ll be doing:
Partnering with Cross-Functional Teams: Collaborate with engineering, product, sales, customer success, data research, and product enablement teams to understand and address data challenges.
Improving Data Quality: Develop and investigate methods to continuously enhance data quality.
Enhancing Attribute Creation: Drive efforts to create and improve data attributes.
Providing Product Usage Insights: Analyze and deliver insights on product usage to inform decision-making.
Supporting Data Acquisition: Evaluate new data sources to support data acquisition initiatives.

Please refer the Job description for details