
Business Intelligence Analyst
4 days ago
Job Summary
The Business Intelligence Analyst is responsible for transforming data into actionable insights that drive strategic and operational decision-making. This role involves collecting, analyzing, and interpreting large datasets, developing reports and dashboards, and identifying trends and opportunities for business growth. The BI Analyst works closely with cross-functional teams to understand business needs, translate them into data requirements, and deliver data-driven solutions that enhance efficiency, performance, and profitability
DAILY DUTIES AND RESPONSIBILITIES
Extract, transform, and load (ETL) data from ERP, MES, production systems, and cloud platforms into centralized data models.
Design, develop, and optimize data models, queries, and database structures (SQL, time-series, relational) to support analytics and reporting.
Build, deploy, and maintain BI dashboards and reports using Power BI, Tableau, and Excel.
Write and tune SQL queries, stored procedures, and ETL workflows for high-volume data operations.
Implement data governance practices including access controls, audit logs, and data quality checks.
Collaborate with IT and data engineering teams to integrate BI solutions with cloud data lakes, warehouses, and streaming sources.
Automate recurring reporting and analytics tasks using scripting tools (Python/R) and workflow automation.
Monitor BI infrastructure, troubleshoot performance issues, and optimize query and pipeline runtimes.
Document BI architectures, ETL mappings, and data dictionaries for operational continuity.
Recommend emerging BI and cloud analytics technologies to improve scalability and insights.
JOB SPECIFICATIONS
Minimum Education: Graduate of a Bachelor's degree in in science or engineering courses related to data analytics, such as Chemical Engineering, Statistics, Applied Mathematics, Data Science, or other analogous fields; Latin honors preferred.
Work Experience: None required; Internship or project experience in BI/reporting or SQL-based data handling is an advantage.
Special Training/Skills Required: Proficiency in SQL for advanced querying, stored procedures, and performance optimization; skilled in building dashboards, KPIs, and automated reports using Power BI, Tableau, or equivalent BI platforms; experience in data and optimized database design; hands-on knowledge of ETL workflows and integration methods (APIs, message queues, pipelines) for extracting and transforming data from multiple systems; familiarity with cloud BI and data platforms; understanding of data governance, security, and compliance standards including data lineage, access control, and quality assurance; strong analytical and problem-solving skills for validating and interpreting large, complex datasets; ability to prepare technical documentation including data dictionaries, workflow diagrams, and BI architecture references.
Other Preferred Skills/Competencies: Knowledge of Python or R for automation and advanced analytics; strong communication skills for presenting technical insights; effective collaboration with IT, data engineering, and business teams; ability to manage multiple priorities and deliverables in a fast-paced environment; familiarity with process improvement frameworks such as Lean or Six Sigma; adaptability to emerging BI and cloud technologies.
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