Senior Business Intelligence Analyst

7 days ago

Dasmariñas, Calabarzon, Philippines beBeeData Full time ₱550,000 - ₱850,000
Job Overview

A Data Operations Analyst plays a pivotal role in ensuring seamless access, analysis, and decision-making across an organization by managing and optimizing data processes. This role bridges the gap between technical data teams and business operations, designing, implementing, and maintaining efficient controls of data processing systems.


Key Responsibilities:
  • Data Cleaning and Transformation
    • Identify and resolve data quality issues such as duplicates, missing values, and inconsistencies.
  • Data Quality Monitoring
    • Establish and maintain data quality metrics, identify potential issues, and implement corrective actions.
  • Data Pipeline Management
    • Manage existing data pipelines to collect data from ingestion, processing, and distribution across different systems.
  • Performance Analysis
    • Analyze operational processes to identify trends, bottlenecks, and areas for improvement.
  • System Administration
    • Maintain and troubleshoot data and reporting systems, including simple data and reporting tools administrative tasks.
  • BAU Ownership
    • Manage and process existing BAU automated processes. Act as first-level incident support analysts in case of failure and maintenance of Ops Manual for ease of issue resolution.

Qualifications
  • Graduate degree in IT or Computer-related field preferably Engineering, Business Intelligence, Computer Science or Statistics related
  • 3-5 years of experience

Required Skills
  • Technical skills: Understanding of basic SQL, Excel, and data visualization tools (Power BI)
  • Analytical skills: Strong analytical and problem-solving skills to identify patterns and trends in data
  • Business acumen: Understanding of business operations and key performance indicators (KPIs) to effectively translate data insights into actionable recommendations
  • Communication skills: Ability to clearly communicate complex data findings to technical and non-technical audiences
  • Collaboration skills: Effectively working with cross-functional teams to gather requirements and implement data solutions

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