Data Analyst

hace 3 días


Bogotá, Bogotá D.E., Colombia Ace Link Solutions SAS A tiempo completo

Data Analyst – On-site (Bogotá) - for a transportation/logistics company

Contract Type
: Término fijo (6 meses con posibilidad de extensión)

Location:
Bogotá, Colombia (On-site)

Working Hours:
42 hours/week (Monday to Friday)

Monthly Salary:
COP $4,300,000 (Includes all legal benefits) + Performance bonuses.

Only candidates with advanced English proficiency (both written and spoken) will be considered.

Qualifications

  • English Fluency:
    Advanced level in both written and spoken English – Mandatory.
  • Education:
    Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Experience:

  • Minimum of 2 years in a Data Analyst / Scientist role or similar.
  • Hands-on experience with data visualization tools, especially Power BI.
  • Proficiency in SQL for querying and data management.
  • Proficiency in Python or R for data analysis and scripting.
  • Experience using Excel for advanced analysis and reporting.
  • Solid understanding of statistical methods and techniques.
  • Familiarity with tools such as Tableau, Power BI, or Looker.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Detail-oriented with a high level of accuracy.
  • Excellent communication skills, able to present complex insights clearly to both technical and non-technical stakeholders.
  • Ability to work independently and as part of a collaborative team.

Key Responsibilities

Data Analysis:

  • Clean, manage, and analyze datasets using SQL, Python/R, Excel, and Power BI.
  • Ensure data accuracy and relevance for effective decision-making.

Data Visualization:

  • Design and maintain interactive dashboards and visual reports using Power BI, Tableau, or Looker.
  • Communicate data insights effectively to stakeholders.

Reporting & Insights:

  • Develop, enhance, and automate performance reports.
  • Use tools like Power BI and Google Data Studio to deliver actionable business metrics.

Process Optimization:

  • Continuously identify areas for improvement in reporting processes and workflows.
  • Implement enhancements to increase operational efficiency.

Cross-functional Collaboration:

  • Work closely with teams across sales, marketing, and product functions.
  • Deliver data-driven recommendations that support strategic business decisions.

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