Data Insights Professional

1 week ago

Barcelona, Philippines beBeeData Full time ₱6,000,000 - ₱8,000,000
Business Intelligence Specialist

As a business intelligence professional, you will play a pivotal role in supporting internal analytics and generating actionable insights from data to inform strategic business decisions. You will communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.

Responsibilities:
  • Support internal analytics and generate actionable insights from data to inform strategic 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 programming languages.
  • 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 business intelligence/visualization tools such as Looker Studio, Sisense, Tableau, or Power BI.
  • Experience in 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.

In this role, you will have the opportunity to work at the intersection of AI, linguistics, and human judgment, driving impact in a rapidly evolving industry. You will be exposed to cutting-edge AI projects with a global client and have growth opportunities as the program scales.

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