Data Analyst | Abu Dhabi | On site

0 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Title:

Location:

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About the Role:

Data Analyst


Key Responsibilities:

  • Develop and maintain interactive dashboards using SQL and data visualization tools (e.g., Looker, Tableau, Power BI, Streamlit).
  • Design clear, well-structured visualizations with consistent labeling and color schemes.
  • Extract meaningful insights from data, identifying trends, anomalies, and performance issues.
  • Conduct time-series analysis, including forecasting and evaluation using metrics like MAE, RMSE, and MAPE.
  • Generate daily, weekly, and monthly reports on usage and system performance metrics.
  • Clean, validate, and structure data for analysis while documenting assumptions and processing steps.
  • Perform quick analyses using Excel/Google Sheets for rapid reporting.
  • Segment data by relevant categories to enable comparisons and deeper drill-downs.
  • Communicate findings and recommendations clearly to non-technical stakeholders across multiple locations.
  • Key Requirements:

    • Proficiency in

      SQL

      and

      data visualization tools

      (Looker, Tableau, Power BI, or similar).
    • Strong

      dashboard design skills

      with a focus on clarity and usability.
    • Experience with

      time-series analysis

      , forecasting, and performance metrics.
    • Ability to

      clean, validate, and structure

      raw data for analysis.
    • Advanced

      Excel/Google Sheets

      skills for quick reporting.
    • Strong analytical mindset with the ability to

      identify and explain key insights

      .
    • Excellent

      communication skills

      to present data-driven recommendations effectively.
    • Detail-oriented, highly organized, and comfortable in a

      fast-paced environment

      .
    • Passion for turning data into compelling stories that drive business action.
  • Ideal Candidate:

    You thrive in a dynamic setting, enjoy solving complex problems with data, and can translate technical findings into business value. If you’re excited about making an impact through data-driven decision-making, we’d love to hear from you.


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