Business Analyst

Key Responsibilities End-to-End Project Leadership: Act as the primary lead for multiple concurrent projects, facilitating collaboration between cross-functional stakeholders from initial requirement gathering through to final deployment. Process Automation: Design, develop, and implement automation tools using Python and Selenium to eliminate manual efforts in testing, data collection, and operational workflows. Data Engineering & Architecture: Transform large-scale unstructured data into structured SQL databases.

Design efficient schemas and write complex queries to extract actionable datasets. Advanced Statistical Modeling: Apply analytical approaches—including Linear/Logistic Regression, Simple/Weighted Moving Averages, and Exponential Smoothing —to tackle complex business problems and trend forecasting. Unstructured Data Processing: Utilize OCR (Tesseract) and NLP techniques to extract data from PDFs, scanned images, and social media feeds for sentiment analysis and brand performance tracking.

Visualization & Reporting: Create high-fidelity dashboards in AWS Quicksight and Excel Analytics . Translate technical findings into "Masterful" PowerPoint presentations for leadership reviews. Continuous Improvement: Apply Lean principles and DMAIC methodology to refine operational metrics and improve model precision.

Technical Requirements Programming: Expert proficiency in Python (Flask, Selenium, Tesseract). Databases: Strong command of SQL (MySQL) and data warehousing environments like Amazon Redshift . Analytics Tools: Hands-on experience with SPSS , Excel Analytics, and Time Series forecasting.

Cloud Infrastructure: Proficient in the AWS ecosystem, specifically for data visualization and storage. Web Technologies: Familiarity with HTML, CSS Selectors, and X-Path for web scraping and automation.