Data Analyst
Key Responsibilities - 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.
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.
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