Data Analyst @ 2Base

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. This role is instrumental in transforming raw data into actionable insights that guide strategic and operational decisions. You will work closely with cross-functional teams to collect, process, analyze, and interpret data that drives measurable business outcomes.

Key Responsibilities

• Collect data from various internal and external sources, ensuring accuracy and consistency.
  

• Clean and preprocess data, identifying and correcting errors or inconsistencies.
  

• Analyze data using statistical techniques to identify trends, patterns, and insights.
  

• Collaborate with business teams to understand data needs and deliver actionable outcomes.
  

• Ensure data integrity and security, adhering to relevant compliance standards.
  

• Document data sources, methodologies, and findings to ensure transparency and reproducibility.
  

• Create intuitive dashboards and reports using tools like Tableau, Power BI, or similar platforms.
  

• Stay up to date with new tools, technologies, and best practices in data analytics.
  

• Use data-driven insights to solve business problems and uncover opportunities.
  

  Requirements
  

  • Bachelordegree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
    

  • Strong analytical and problem-solving skills with attention to detail.
    

  • Proficiency in SQL and Python or R.
    

  • Familiarity with spreadsheet tools like Microsoft Excel or Google Sheets.
    

  • Excellent written and verbal communication skills.
    

  • Ability to collaborate across functions and deliver under tight deadlines.
    

    Preferred Qualifications
    

    • Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate).
      

    • Experience with data visualization platforms (Tableau, Power BI, QlikView).
      

    • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
      

    • Understanding of basic machine learning and predictive modeling concepts.
      

    • Domain experience in industries such as fintech, healthcare, e-commerce, or IT.
      
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