Data Insight Specialist

1 day ago

Makati City, National Capital Region, Philippines beBeeData Full time $80,000 - $140,000
Job Title: Data Analyst

Our team is looking for a skilled data analyst to help us make data-driven decisions.

This role involves working with large datasets to identify trends, uncover biases and develop frameworks that enhance program performance, client and recruitment outcomes.

The ideal candidate will have a strong background in statistical tools and programming languages, as well as excellent communication skills to convey insights clearly through reports, dashboards and presentations.

Responsibilities:
  • Collect, analyze and interpret large datasets to develop actionable business insights and recommendations.
  • Design and analyze experiments and statistical tests to uncover drivers of performance and label patterns.
  • Build dashboards, reports and automated monitoring systems using Looker Studio or similar BI tools.
  • Identify and highlight potential biases or preferences in labeling data.
  • Collaborate with program managers to translate findings into operational and client-facing insights.
  • Conduct applied analytics using Python, SQL and statistical modeling, with opportunities to apply predictive modeling, NLP and bias detection algorithms.
  • Manage and explore datasets ranging from structured spreadsheets/CSVs to larger-scale rater outputs.
  • Evaluate and improve existing business intelligence models to create best-in-class solutions.
Qualifications:
  • Strong proficiency in Python, SQL and R.
  • Applied expertise in statistical modeling and experimental design.
  • Experience working with moderate-to-large datasets, with the ability to scale analyses as data volume grows.
  • Familiarity with BI/visualization tools such as Tableau or Power BI.
  • Excellent ability to communicate insights clearly through reports, dashboards and presentations.
Benefits:
  • Opportunity to work on diverse projects and collaborate with cross-functional teams.
  • Chance to develop and implement new analytical approaches and tools.
  • Professional growth and development opportunities.

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