Data Information Specialist

2 days ago

Cainta, Calabarzon, Philippines beBeeAnalyst Full time ₱45,000 - ₱75,000
About the Role

As a Data Information Specialist, you play a crucial part in ensuring seamless access, analysis, and decision-making across an organization. Your role bridges the gap between technical data teams and business operations by designing, implementing, and maintaining efficient controls of data processing systems.

Key Responsibilities
  • Data Cleaning and Transformation:
    • You will identify and resolve data quality issues like duplicates, missing values, and inconsistencies to ensure accurate data insights.
  • Data Quality Monitoring:
    • Establishing and maintaining data quality metrics, identifying potential issues, and implementing corrective actions is a key responsibility of this role.
  • Data Pipeline Management:
    • You will manage existing data pipelines to collect data from ingestion, processing, and distribution across different systems.
  • Performance Analysis:
    • Analyzing operational processes to identify trends, bottlenecks, and areas for improvement is essential for this role.
  • System Administration:
    • Maintaining and troubleshooting 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.
Requirements
  • Graduate of any IT or Computer related course preferably Engineering, Business Intelligence, Computer Science or Statistics related.
  • 3 to 5 years experience.
Desired 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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