[Remote] Data Analyst
Note: The job is a remote job and is open to candidates in USA. Vertisystem, a MOURI Tech Company, is seeking a Data Analyst to improve the quality, reliability, and scalability of its data ecosystem. The role focuses on investigating data inconsistencies, analyzing complex datasets, supporting data integration workflows, and documenting findings and recommendations.
Responsibilities
- Identify, investigate, and resolve data quality issues including duplicates, missing values, inconsistencies, and misalignments
- Analyze data across multiple datasets and platforms to identify gaps and improve overall data accuracy and consistency
- Develop repeatable processes for identifying, tracking, and resolving recurring data quality issues
- Perform data validation and reconciliation to ensure information remains consistent across source and downstream systems
- Identify opportunities to automate data quality checks and reduce manual validation efforts
- Analyze, reconcile, and validate large datasets using SQL and Python
- Compare data across systems to identify discrepancies and determine root causes
- Conduct structured investigations into data anomalies, unexpected results, and reporting inconsistencies
- Translate complex data issues into clear findings and actionable recommendations
- Develop efficient and repeatable approaches to troubleshooting complex data challenges
- Perform ad hoc analysis to support operational and business needs
- Identify patterns and trends that can help improve data reliability and operational processes
- Work with data environments including MongoDB and Databricks
- Support data ingestion, transformation, integration, and reporting workflows
- Analyze data flows between MongoDB, Databricks, and other operational systems to identify gaps, inconsistencies, and integration issues
- Improve processes that bridge data between multiple platforms and operational systems
- Troubleshoot data ingestion, transformation, and synchronization issues
- Assess current tools, workflows, and processes and recommend enhancements where needed
- Support the development and improvement of scalable data transformation and integration processes
- Maintain thorough documentation of analyses, findings, decisions, processes, and technical solutions
- Provide regular status updates and proactively communicate risks or blockers
- Present technical findings in a clear, concise manner for both technical and business stakeholders
- Translate complex data issues into understandable business impacts and recommended actions
- Ensure transparency and visibility of work completed during core business hours
- Document repeatable analytical and troubleshooting processes to improve team efficiency
- Contribute to the development of technical best practices across the data organization
Skills
- Strong hands-on experience with SQL and Python
- Proven experience analyzing, reconciling, and validating complex datasets
- Demonstrated experience identifying and resolving data quality issues across multiple systems
- Working knowledge of MongoDB, Databricks, or similar modern data platform
- Experience working with data ingestion, transformation, and integration workflows
- Strong problem-solving, analytical, and investigative skills
- Ability to independently investigate complex data issues and identify root cause
- Ability to communicate technical findings and recommendations clearly to both technical and non-technical stakeholders
- Excellent documentation and communication skills
- Experience within Media, Entertainment, or Streaming environments
- Experience working with large-scale datasets across multiple operational systems
- Experience supporting multi-system data environments and integrations
- Experience developing or improving automated data validation and reconciliation processes
- Ability to thrive in fast-paced, evolving organizations
- Experience designing, analyzing, or supporting data models across multiple platforms
Company Overview
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