Senior Data Analyst

Key Responsibilities:
Collect, clean, and manipulate large datasets using SQL, Python, or R to support business insights.
Apply statistical methods and quantitative analysis to identify trends, correlations, and actionable insights.
Support AI/ML initiatives by preparing datasets, training basic models, and leveraging tools such as TensorFlow, PyTorch, or scikit-learn.
Create and maintain interactive dashboards and reports using data visualization platforms like Power BI, Tableau, or Looker.
Conduct web scraping using tools such as BeautifulSoup, Scrapy, or Selenium to gather competitive intelligence and market research data.
Utilize market research tools and competitive intelligence platforms to support business strategy and growth initiatives.
Collaborate with senior analysts and cross-functional teams to translate business needs into data-driven solutions.
Present findings and insights clearly through presentations, reports, and visual storytelling tailored t...