About The Position

This position interacts with functional representatives, business analysts, data analysts, and Applications Development project teams to apply data operations requirements to support the effective storage and retrieval of data. He/She utilizes the agile-waterfall methodology development process. This position works independently on one or more highly complex database environments. He/She assists with providing the definition of logical and physical data elements for promoting data sharing, reusing data objects, and ensuring a coherent data source strategy. This position transforms logical data models into physical databases, applying techniques based on applications’ processing needs. He/She investigates complex problems, monitors performance, contributes to back-up and recovery procedures, creates reports, and configures and installs database software.

Requirements

  • Strong SQL skills for querying and transforming data (BigQuery preferred)
  • Experience demonstrating basic knowledge of database design principles, data modeling, and ETL processes
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
  • Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

Nice To Haves

  • Bachelor’s Degree or International equivalent in Management Information Systems, Computer Science, Finance, or a related field

Responsibilities

  • Support the delivery of critical financial and operational data used for reporting, forecasting, and business decision-making.
  • Monitor production processes, validate results, and resolve data quality or system issues to ensure accurate and timely data delivery.
  • Investigate complex data and reporting discrepancies, perform root cause analysis, and implement corrective actions.
  • Partner with business and technology teams to develop, test, and deploy data solutions, system enhancements, and process improvements.
  • Provide support, training, and guidance to users of enterprise reporting and data platforms.
  • Develop and maintain documentation, operational procedures, and controls that promote consistency, efficiency, and knowledge sharing.
  • Identify opportunities to automate manual processes and improve the reliability, scalability, and effectiveness of data and reporting environments.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service