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  • Senior business intelligence (bi) analyst - barranquilla

    COP
  • Salario confidencial
  • Position: Senior Business Intelligence (BI) Analyst

    Salary: According to expectation and experience.
    Location: Colombia, Barranquilla

    Position Overview:
    We are seeking a detail-oriented and analytical Business Intelligence (BI) Analyst to join our team. The BI Analyst will be responsible for collecting, analyzing, and transforming data into actionable insights that drive strategic decision-making across the organization. This role requires strong technical expertise in data analysis, visualization, and reporting, along with the ability to communicate findings effectively to both technical and non-technical stakeholders.

    Key Responsibilities:
    • Develop, maintain, and optimize BI reports, dashboards, and data models using tools such as Power BI, Tableau, or Looker.
    • Work closely with business stakeholders to understand reporting needs and translate them into effective data solutions.
    • Extract, clean, and analyze data from various sources (databases, APIs, spreadsheets, etc.).
    • Provide actionable insights and recommendations to support strategic and operational decision-making.
    • Ensure data accuracy, consistency, and integrity across reporting systems.
    • Collaborate with IT and data engineering teams to improve data pipelines and optimize data storage and retrieval processes.
    • Monitor key performance indicators (KPIs) and create automated reporting processes to improve efficiency.
    • Stay up-to-date with BI tools, technologies, and best practices to continuously improve analytics capabilities.

    Qualifications & Skills:
    Required:
    • Bachelor's degree in Data Science, Business Analytics, Computer Science, Finance, or a related field.
    • 2–4 years of experience as a BI Analyst, Data Analyst, or a similar role.
    • Proficiency in BI tools (e.g., Power BI, Tableau, Looker, or Qlik).
    • Strong SQL skills for data extraction and transformation.
    • Experience with data modeling, data warehousing concepts, and ETL processes.
    • Solid analytical and prob

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