BI Architect
Openkyber
Assuming you mean a Business Intelligence (BI) Engineer job description, here s a solid standard version you can adapt. BI Engineer Job Description Role Summary:
responsible for designing, developing, and maintaining scalable data models, pipelines, dashboards, and reporting solutions that enable data-driven decision-making across the organization.
The role partners closely with business stakeholders, data engineering, analytics, and technology teams to translate business requirements into reliable and actionable insights.
Key Responsibilities- Design and develop BI solutions, dashboards, reports, and analytical data products.
- Build and maintain dimensional data models, semantic layers, and reporting datasets.
- Develop and optimize SQL queries, ETL/ELT pipelines, and data transformations.
- Integrate data from multiple enterprise systems and ensure consistency across reporting.
- Partner with business stakeholders to define KPIs, metrics, and reporting requirements.
- Develop dashboards using tools such as Power BI, Tableau, Looker, or similar platforms.
- Establish data quality checks, validation processes, and monitoring.
- Optimize BI solutions for performance, scalability, usability, and maintainability.
- Implement appropriate data security, access controls, and governance standards.
- Troubleshoot data discrepancies and perform root-cause analysis.
- Maintain technical documentation, data dictionaries, and metric definitions.
- Collaborate with Data Engineers, Data Scientists, Business Analysts, and Product teams.
- Bachelor s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related field.
- 3 7+ years of experience in BI, analytics engineering, data engineering, or related roles.
- Advanced SQL skills and strong understanding of relational databases.
- Experience with Power BI, Tableau, Looker, or comparable BI platforms.
- Experience with ETL/ELT technologies and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift,
- Understanding of dimensional modeling, star schemas, data warehousing, and semantic modeling.
- Experience with Python is preferred.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Strong analytical, problem-solving, communication, and stakeholder-management skills.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 2 days ago
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