Data Analyst II

Responsibilities

• Analyze complex data sets to identify trends, patterns, and insights that support business decision-making.
• Develop and maintain data models, dashboards, and visualizations using advanced tools.
• Collaborate with cross‑functional teams to understand business requirements and translate them into analytical solutions.
• Support data quality management by profiling, cleansing, and validating data.
• Present analytical results clearly to stakeholders, adapting communication to different audiences.

• Option 1:
  Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field.
• Option 2: 2 years' experience in data analysis, data science, statistics, or related field.
• Proficiency in big data analytics and statistical techniques to support business problem‑solving and decision‑making.
• Experience with data visualization tools such as Python libraries, Tableau, or PowerBI.
• Strong knowledge of database technologies including SQL and No
  
  SQL for effective data sourcing and management.
• Ability to analyze data quality, perform data cleansing, and support data governance practices.
• Familiarity with exploratory data analysis and relevant scripting languages.