Tech Stack
AWSAzureCloudPythonSQLTableau
About the role
- 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.
Requirements
- 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