Senior Business Intelligence Professional

2 weeks ago

Singapore beBeeDataAnalyst Full time $200,000 - $250,000
Job Description:We are seeking a highly experienced and strategic Senior Data Analyst/Developer with over 12+ years of progressive experience in data analysis, business intelligence, and a deep understanding of data warehousing concepts. This includes PL/SQL, ETL processes, IBM DataStage, and Enterprise Application Integration (EAP). The ideal candidate will be a critical thinker with exceptional analytical skills, capable of translating complex data into actionable insights for business stakeholders.
The successful candidate will be instrumental in Data Analysis for Genesis Application which delivers Regulatory & Consent Order items for Regulatory & Fed Reports. This role requires not only strong technical acumen but also significant experience in leading data initiatives, mentoring junior analysts, and influencing data strategy.
Main Responsibilities:
  • Lead complex data analysis initiatives to identify trends, patterns, and anomalies in large datasets.
  • Develop sophisticated reports, dashboards, and analytical models to provide actionable insights that drive business decisions across various departments.
  • Collaborate extensively with business stakeholders to deeply understand their analytical needs and business questions.
  • Translate these into detailed data requirements and propose optimal analytical solutions.
  • Work closely with Data Engineers and ETL developers to identify, source, and ensure the availability and quality of necessary data.
  • Utilize strong understanding of PL/SQL to query complex relational databases and validate data accuracy.
  • Leverage deep knowledge of ETL processes, particularly with IBM DataStage, to understand data lineage, transformations, and potential impacts on data analysis.
  • Proactively identify data quality issues within ETL pipelines and work with engineering teams for resolution.
  • Understand how data flows through various enterprise applications via EAP layers.
  • Possess a solid understanding of data warehousing concepts, dimensional modeling, and database schemas.
  • Design, develop, and maintain advanced business intelligence solutions, including interactive dashboards and automated reports.
  • Provide technical guidance, mentorship, and support to junior data analysts.
  • Champion data quality and integrity.
  • Optimize complex SQL queries and data extraction processes to ensure efficient data retrieval for analysis and reporting.
  • Clearly and effectively communicate complex analytical findings, insights, and recommendations to both technical and non-technical audiences.
  • Contribute to the overall data strategy, helping to define key metrics, identify data gaps, and recommend data infrastructure improvements.

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