Chief Data Insights Specialist

15 hours ago

Lipa City, Calabarzon, Philippines beBeeBusiness Full time ₱1,500,000 - ₱2,000,000
Job Title:

Business Intelligence Analyst


Job Summary:

We are seeking a highly skilled Business Intelligence Analyst to support internal analyses and generate insights from data to inform business decisions. The ideal candidate will have a strong proficiency in Python, SQL, and R, as well as applied expertise in statistical modeling and experimental design.


Key Responsibilities:
  • Support internal analyses and generate insights from data to inform business decisions.
  • Communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
  • Support client meetings as a subject-matter expert, while primarily focused on internal analysis and insights.

Required Skills and Qualifications:
  • Strong proficiency in Python, SQL, and R.
  • Applied expertise in statistical modeling and experimental design (e.g., sampling, confidence intervals, agreement metrics).
  • Experience working with moderate-to-large datasets, with the ability to scale analyses as data volume grows.
  • Familiarity with BI/visualization tools such as Looker Studio, Sisense, Tableau, or Power BI.
  • Experience in Google Cloud Platform (GCP) or other cloud data environments preferred.
  • Excellent ability to communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
  • Comfortable supporting client meetings as a subject-matter expert, while primarily focused on internal analysis and insights.
  • 3+ years in a quantitative role (Analytics consultant, Quantitative Analyst, Product Analyst, or similar) with proven ability to navigate ambiguous environments.
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field, OR equivalent practical experience. An advanced degree is a plus, but not required.
  • SQL (Must be highly proficient in using SQL to query, manipulate, and manage data within relational databases)
  • Statistical Knowledge: a solid understanding of statistical concepts (like probability, regression analysis, and hypothesis testing)
  • Database and Data Warehousing: Knowledge of different database systems (MySQL, PostgreSQL) and concepts like data warehousing and ETL processes is important for managing large datasets.
  • Oral and written comprehension; Appropriate use of language.

Benefits and Perks:
  • Competitive salary and benefits package.
  • Opportunity to work at the intersection of AI, linguistics, and human judgment, driving impact in a rapidly evolving industry.
  • Remote position.
  • Exposure to cutting-edge AI projects with a global client.
  • Growth opportunities as the program scales.
  • Annual merit increase based on performance.

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