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Bunisess Intelligence Pecialist
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General Details
Description
Responsibilities:
BI Testing and Quality Assurance:
Collaboration and Documentation:
Tools and Platforms - the BI Testers must be proficient in working with the following technologies and environments:
Reporting and Communication
Requirements:
Certifications
BI Testing and Quality Assurance:
- Design and execute test plans and test cases for ETL processes, data integration workflows, data marts, and reporting platforms (e.g., Power BI).
- Perform data validation and reconciliation between source systems and target BI systems.
- Conduct functional, integration, system, regression, and performance testing on BI solutions and data pipelines.
- Identify data quality issues and inconsistencies, log defects, and track them through to resolution.
- Validate the correctness of business logic applied in BI reports, dashboards, and analytics solutions.
Collaboration and Documentation:
- Collaborate with BI developers, report developers, business analysts, and stakeholders to understand requirements and expected outcomes.
- Participate in Agile/Scrum ceremonies (e.g., sprint planning, reviews, and retrospectives) where applicable.
- Maintain comprehensive testing documentation, including test cases, test results, defect logs, and sign-off reports.
- Assist with user acceptance testing (UAT) and provide support for end-user validation where required.
Tools and Platforms - the BI Testers must be proficient in working with the following technologies and environments:
- Microsoft SQL Server T-SQL for querying and test script development.
- SSIS (SQL Server Integration Services) for testing ETL workflows and data transformation logic.
- Power BI for verifying visuals, data accuracy, and report logic.
- Data Marts for schema validation and data consistency testing.
Reporting and Communication
- Provide regular testing status updates, risk assessments, and defect summaries to the company BI project team.
- Participate in progress meetings, testing reviews, and provide input into project timelines and delivery readiness.
Requirements:
- must have a computer science/ information systems/ statistics or mathematics degree or diploma with a minimum of five (5) years experience in a BI Tester role and Business Intelligence or Data Testing related
Certifications
- Microsoft Certified: Azure Data Engineer Associate, Data Analyst Associate (Power BI), SQL Server Database Development or administration
- ETL development or Data Integration
- Certified Agile Tester
- Data Quality and Validation
- A minimum of three years experience in T-SQL (Transact-SQL) for data validation, query
- development, and test scripting.
- A minimum of three years experience testing SSIS (SQL Server Integration Services) and ETL processes, including validating
https://www.jobplacements.com/Jobs/B/Bunisess-Intelligence-Pecialist-1257103-Job-Search-01-29-2026-04-26-50-AM.asp?sid=gumtree
Id Subtitle 1348317047
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JOB OUTPUTS AND KEY PERFORMANCE INDICATORSDesign, build, and maintain ELT pipelinesPipeline success rate (% jobs completed without failure)Data latency (extraction to availability)Error resolution turnaround timeIntegrate data across systems (WMS, TMS, ERP, IoT)Number of successful system integrations% data completeness and consistency across sourcesAverage time to onboard new data sourceData Lake / Warehouse ManagementSystem uptime and availabilityQuery performance (execution speed)Storage usage vs capacityStructured and clean data setsData quality score (accuracy, completeness, validity)Number of reported data issuesResolution turnaround timeCollaboration with BI and Data Science teamsTime to deliver datasets for reports and modelsInternal stakeholder satisfaction ratingSupport requests resolved within SLADocumentation and data cataloguing% of pipelines with up to date documentationMetadata completenessUser ease of data discoverySecurity and compliance support% compliance with access control policiesNumber of unauthorised access incidentsAudit readiness and completion rateProcess automationManual hours reduced via automationNumber of recurring tasks automatedStability of automated workflowsIssue analysis and root cause investigationsTime to issue resolution (from investigation to recommendation)Number of root causes correctly identifiedReduction in repeated issuesAdvanced SQL development, optimisation and data engineeringQuery performance improvements (execution speed and efficiency)SQL based data validation, transformation and cleansing coverageReusable SQL pipelines for recurring logistics workflows (inventory, shipments, routing)SQL based reconciliation across multiple systemsVersion controlled, documented SQL scripts aligned with governance standardsReduction in errors or rework due to SQL inefficienciesJOB SPECIFIC REQUIREMENTSMinimum Requirements (Experience and Qualifications)Bachelors or Masters in Computer Science or related fieldMicrosoft Certified Azure Data Engineer AssociateGoogle Professional Data EngineerAWS Certified Data AnalyticsCertifications in BI or analytics tools such as Power BI, Tableau or SQL3 to 5 years experience in data engineering preferably in logistics or supply chain sectorsRequired KnowledgeDevelopment of ELT and ETL pipelines using tools such as Apache Airflow,SSIS or Azure Data FactoryData integration across logistics systems including ERP, WMS, TMS and IoThttps://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-1256696-Job-Search-01-28-2026-04-32-21-AM.asp?sid=gumtree
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