Data Quality Analyst

Explorium is a cutting-edge data science company that has recently closed a Series C round bringing their total funding to $125 million.


Explorium offers a first of its kind data science platform powered by augmented data discovery and feature engineering. By automatically connecting to thousands of external data sources and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquire the right data and enabling superior predictive power.

We are looking for a hard working, detail oriented, extremely organized, and skilled individual to join our efforts to provide the best quality data out there.

Responsibilities:

  • Define and maintain quality process of the data assets using customer feedback, concerns, questions; internally reporting metrics
  • Work closely with development teams to resolve issues and improve data quality
  • Build the data quality assurance processes and automation
  • Coordinate with multiple teams to identify opportunities to improve the data quality and translate it into product requirements and processes
  • Report and maintain internal knowledge of the quality of our signals and services

Requirements:

  • Experience with data analytics with Python, SQL - a MUST
  • Proactive approach and high degree of personal accountability
  • Ability to perform analysis of data content and extract insights
  • Excellent communication and interpersonal skills
  • Ability to drive and push multiple projects simultaneously
  • Detail oriented with extremely high organizational skills
  • Prior experience writing and executing test plans - Advantage
  • Prior experience documenting technical requirements - Advantage
  • Prior experience developing and executing on data governance strategies - Advantage
Back to open roles

Apply for this role

Get started with Explorium External Data Cloud Start for free