Data Operations Specialist

Position Summary

The Data Operations Specialist will work as part of the Atlas Delivery Team responsible for preparing processing auditing and verifying data delivered to internal and external customers. This role primarily follows structured workflows and detailed instructions to review analyze and validate business-related data across multiple data projects. The Data Operations Specialist evaluates match accuracy conducts external research to validate company identities and firmographic attributes and applies sound judgement to ensure data quality standards are maintained. The role requires strong analytical thinking proficiency in Excel and basic SQL and the ability to investigate and resolve data-related issues.

Key Responsibilities

Data Matching and Validation

• Review analyze and verify match results across company profiles
• Confirm that company attributes such as legal name address and corporate identifiers accurately align with the matched entity
• Apply sound reasoning and judgement to determine match validity and escalate ambiguous or complex cases when necessary
• Maintain consistent data quality standards across enrichment projects

Company Research and Data Verification

• Conduct research using search engines AI tools company registries and public data sources to verify company identities and firmographic attributes
• Validate company hierarchy relationships including parent companies subsidiaries and ultimate ownership structures
• Confirm company profile information such as industry classification location and firmographic characteristics
• Document analyst decision logic to support development of automated matching algorithms and LLM-based data enrichment tools.

Data Analysis and Excel Management

• Work with datasets in Excel to perform data review filtering summarization and analysis
• Manipulate and structure data to support enrichment workflows and quality validation
• Analyze company profile and firmographic datasets to identify inconsistencies suspicious data or anomalies

Data Querying and Investigation

• Use basic SQL queries to retrieve and validate data from internal systems including Snowflake and MySQL databases
• Investigate data discrepancies between input files enrichment outputs and internal databases

Issue Resolution and Troubleshooting

• Identify data-related issues that may impact match accuracy or enrichment results
• Troubleshoot root causes and recommend potential solutions or workarounds based on data knowledge and analysis
• Collaborate with internal teams when technical or systemic issues are identified

Documentation and Communication

• Document research findings data and match validation decision logic to support development of automated matching algorithms and LLM-based data enrichment tools
• Provide transparency through clear updates on project status findings and issues to management
• Communicate effectively with internal teams to clarify requirements and resolve data questions

Required Qualifications

Technical Skills

• Strong proficiency in Microsoft Excel to support data analysis using shortcuts and formula functions
• Basic knowledge of SQL including the ability to run queries to retrieve and analyze data
• Familiarity with data quality validation and data matching concepts
• Python proficiency (required) Demonstrated ability to read interpret and debug Python scripts in a data operations context.

Analytical Skills

• Strong attention to detail with the ability to evaluate complex company data relationships
• Ability to apply reasoning and judgement when validating company matches and resolving ambiguous cases
• Ability to analyze structured data and identify inconsistencies or anomalies

Research and Investigation

• Experience researching companies using online sources registries and AI tools
• Ability to verify company identity firmographic attributes and corporate hierarchies

Communication

• Excellent written and verbal communication skills
• Ability to clearly communicate and document findings processes and project updates

Preferred Qualifications

• Experience working with firmographic data supplier intelligence data or company master data
• Familiarity with data enrichment entity resolution or company matching processes
• Experience querying Snowflake or other cloud data platforms
• Experience working with company hierarchy or corporate ownership data

Required Experience:

IC