Senior Data Quality & Investigative Analyst

Office Beacon LLC; Vadodara; Remoto; INR 800.000 - 1.200.000; Tempo integral

Resumo da vaga

Office Beacon LLC is seeking a Senior Data Quality & Investigative Analyst for a remote role with Vadodara alignment. You will investigate data anomalies across large datasets, perform root-cause analysis of ETL issues, and develop automated QA checks using SQL and Python.

You will collaborate with Data Engineering, Data Science, Product, and Operations teams to improve data accuracy and document remediation recommendations, enabling better business decisions.

Qualificações

• Experience with large-scale, complex datasets.
• Advanced SQL querying and data investigation.
• Python scripts for automated data validation and analysis.
• Experience with cloud data warehouses (BigQuery).
• Strong analytical, investigative, and communication skills.
• Excellent English documentation ability.

Responsabilidades

• Investigate data anomalies, inconsistencies, and quality issues across large-scale datasets.
• Perform root-cause analysis of data pipeline, ETL, and data processing issues.
• Develop and enhance automated quality assurance (QA) validation checks using SQL and Python.
• Conduct macro-level data analysis and detailed record-level investigations.
• Collaborate with Data Engineering, Data Science, Product, and Operations teams to resolve data quality issues.
• Document investigation findings, business impacts, and remediation recommendations.

Conhecimentos

Large-scale datasets

SQL querying

Python scripting

BigQuery

Analytical thinking

English communication

Formação

Data Analytics / Statistics / Information Systems / Computer Science

Ferramentas

Jira

Confluence

Slack

Git workflows

Descrição da vaga

Job Title: Senior Data Quality & Investigative Analyst

Experience Level: 5+ Years

Location: Remote / Vadodara

Employment Type: Full-Time

Working Hours: US Shift (10-hour shift including a 1-hour break)

Job Overview:

We are looking for a Senior Data Quality & Investigative Analyst to investigate data anomalies, identify quality issues, and perform root-cause analysis across large-scale datasets. The role involves advanced SQL querying, Python-based automated validation, and collaboration with Data Engineering, Data Science, Product, and Operations teams to improve data accuracy, reliability, and consistency.

Key Responsibilities:

• Investigate data anomalies, inconsistencies, and quality issues across large-scale datasets.
• Perform root-cause analysis of data pipeline, ETL, and data processing issues.
• Develop and enhance automated quality assurance (QA) validation checks using SQL and Python.
• Conduct macro-level data analysis and detailed record-level investigations.
• Collaborate with Data Engineering, Data Science, Product, and Operations teams to resolve data quality issues.
• Document investigation findings, business impacts, and remediation recommendations.

Qualifications & Skills:

• Strong experience working with large-scale, complex datasets.
• Advanced SQL querying and data investigation skills.
• Ability to develop Python scripts for automated data validation and analysis.
• Experience with cloud data warehouses, preferably Google BigQuery.
• Strong analytical, investigative, and problem-solving abilities.
• Excellent English communication and documentation skills.

Preferred Qualifications:

• Experience with Data Quality, Master Data Management (MDM), Entity Resolution, Record Linkage, or Knowledge Graphs.
• Exposure to geospatial, address, or corporate entity datasets.
• Familiarity with Jira, Confluence, Slack, and Git-based workflows.
• Educational background in Data Analytics, Statistics, Information Systems, Computer Science, or a related field.