REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, or related field.
• 2–5 years of professional experience in data analytics or business intelligence.
• Strong proficiency in SQL for querying and data manipulation.
• Experience with data visualization tools (Looker, Tableau, Power BI, or Data Studio).
• Proficiency in Excel / Google Sheets for quick analysis and reporting.
• Strong understanding of data modeling, KPIs, and metrics tracking.
• Experience with cloud platforms (Google Cloud, AWS, or Azure) is a plus.
• Familiarity with Python/R for data analysis preferred.
• Excellent problem-solving, analytical thinking, and communication skills.

• Collect, clean, and analyze structured and unstructured datasets from multiple sources (databases, cloud storage, APIs, spreadsheets).
• Design and build dashboards, reports, and visualizations using BI tools (e.g., Looker, Tableau, Power BI, Data Studio).
• Develop and maintain SQL queries, scripts, and pipelines to extract and transform data for analytics use cases.
• Perform exploratory data analysis (EDA), descriptive statistics, and trend analysis to identify business patterns and opportunities.
• Collaborate with stakeholders across product, business, and engineering teams to translate requirements into data insights.
• Support KPI definition, monitoring, and reporting to track business performance.
• Ensure data integrity, accuracy, and governance across reports and dashboards.
• Recommend improvements in data collection methods, data quality, and reporting automation.
• Contribute to predictive and prescriptive analytics initiatives by preparing data and assisting data science teams.