Data Architect

Overview

Data Analyst

Key Responsibilities

• Collect, clean, and analyze large datasets from multiple sources.
  
• Prepare dashboards, reports, and visualizations to support decision-making.
  
• Identify trends, patterns, and actionable insights.
  
• Work closely with business teams to understand requirements and deliver data-driven solutions.
  
• Build automated reports and improve existing reporting processes.
  
• Develop and maintain data documentation, KPIs, and performance metrics.
  
• Ensure data accuracy, quality, and consistency across systems.
  
• Use statistical methods to interpret data and support forecasting.
  
• Collaborate with data engineers and product teams for data improvements.
  

Required Skills

• Strong knowledge of

  Excel

  ,

  SQL

  , and data manipulation.
• Experience with visualization tools such as

  Power BI

  ,

  Tableau

  , or

  Looker

  .
• Proficiency in

  Python

  or

  R

  for data analysis (optional but preferred).
• Understanding of

  data cleaning

  ,

  wrangling

  , and

  ETL concepts

  .
• Knowledge of statistics, KPIs, and business metrics.
  
• Familiarity with databases (PostgreSQL, MySQL, etc.).
  
• Good problem-solving and analytical thinking skills.
  
• Strong communication and presentation abilities.
  

Preferred Qualifications (Optional)

• Experience with cloud data tools (AWS, Azure, GCP).
  
• Exposure to big data tools like Spark or Hadoop.
  
• Knowledge of machine learning basics (regression, clustering, etc.).
  
• Experience with API integrations for data extraction.
  

Education

• Bachelors or Master’s degree in

  Data Science

  ,

  Statistics

  ,

  Computer Science

  ,

  Economics

  ,

  Mathematics

  , or related fields.