Qureos Mentor

Birbal AI

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 The Data Quality Specialist will be responsible for reviewing, validating, cleansing, and improving the quality of organizational data across enterprise systems, databases, reports, dashboards, and operational records.
 
 
 The candidate will help ensure that data used for operations, reporting, dashboards, integrations, and decision-making is accurate, complete, consistent, valid, and reliable.
 
 
 
 
 
 Key Responsibilities
 
 
 Perform data profiling to identify missing, duplicate, invalid, inconsistent, or outdated records.
 
 
 Review data across enterprise systems, CRM, databases, reports, dashboards, and Excel files.
 
 
 Define and apply data validation rules for mandatory fields, formats, codes, reference values, and business rules.
 
 
 Identify data quality issues and prepare clear issue logs for resolution.
 
 
 Support data cleansing activities in coordination with business and technical teams.
 
 
 Validate data updates, corrections, migrations, and system changes.
 
 
 Reconcile data between source systems, reports, dashboards, and operational records.
 
 
 Work with Data Engineers to resolve mapping issues, pipeline issues, and integration-related data errors.
 
 
 Prepare data quality reports showing issue counts, root causes, trends, and resolution status.
 
 
 Support report accuracy by validating source data and dashboard outputs.
 
 
 Maintain data quality documentation, validation rules, cleansing logs, and issue trackers.
 
 
 Ensure data confidentiality, privacy, governance, and compliance requirements are followed.
 
 
 
 
 
 Required Skills
 
 
 Good SQL knowledge for data checking, validation, and analysis.
 
 
 Strong Excel skills, including filtering, formulas, lookup functions, and data comparison.
 
 
 Experience in data profiling, data cleansing, data validation, and data reconciliation.
 
 
 Understanding of data quality dimensions such as accuracy, completeness, consistency, uniqueness, validity, and timeliness.
 
 
 Ability to identify duplicate records, missing values, wrong formats, and incorrect mappings.
 
 
 Knowledge of databases, reports, dashboards, and enterprise application data.
 
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 Strong attention to detail, analytical thinking, and communication skills.
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Data Quality Analyst

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 The Data Engineer will be responsible for supporting data management, system integration, reporting data flows, and enterprise application data activities. The role requires hands-on experience in SQL, data pipelines, data extraction, transformation, APIs, CRM/Dataverse data structures, reporting datasets, and production support.
 
 
 
 
 
 Key Responsibilities
 
 
 Develop, maintain, and optimize data pipelines and data integration workflows.
 
 
 Work with SQL databases, CRM/Dataverse, APIs, and enterprise application data sources.
 
 
 Support data extraction, transformation, loading, and reconciliation activities.
 
 
 Build and maintain datasets for dashboards, reports, and analytics.
 
 
 Troubleshoot data issues related to missing records, incorrect mappings, failed integrations, or report mismatches.
 
 
 Support integration between enterprise applications, portals, CRM systems, and reporting platforms.
 
 
 Work with Power BI datasets, SQL scripts, views, stored procedures, and data models.
 
 
 Support automation workflows using Power Automate or similar platforms.
 
 
 Coordinate with business users, application teams, QA teams, and data quality resources to resolve data issues.
 
 
 Prepare and maintain technical documentation for data flows, mappings, APIs, and transformation logic.
 
 
 Ensure data security, confidentiality, governance, and compliance requirements are followed.
 
 
 
 
 
 Required Skills
 
 
 Strong SQL development and database knowledge.
 
 
 Experience in ETL/ELT, data pipelines, and data integration.
 
 
 Knowledge of CRM/Dataverse or similar enterprise application data models.
 
 
 Experience with Power BI datasets, reporting databases, or analytics platforms.
 
 
 Understanding of APIs, data exchange, and system integration.
 
 
 Good knowledge of data validation, data reconciliation, and data troubleshooting.
 
 
 Strong analytical, problem-solving, and communication skills.
 
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Data Engineer – SQL, Power BI & Dataverse

Join Birbal AI and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Birbal AI

About Company

Data Quality Analyst

Data Engineer – SQL, Power BI & Dataverse