SQL,Python & Advanced Excel

Roles and Responsibilities

• Work closely with business, product, and operations stakeholders to understand analytical requirements.
• Extract, transform, and analyze data using SQL, Python, and Excel.
• Analyze unstructured text data like user feedback, chatbot transcripts, and survey responses.
• Apply text analytics and ML-based techniques (supervised and unsupervised) for insights.
• Design data science solutions and select SQL or Python strategies based on data volume, complexity, and use case.
• Design innovative workarounds and alternate analytical strategies when faced with tool, model, or dataset limitations.
• Translate complex analyses into clear stories and strategic recommendations for management, ensuring all methodologies and assumptions are transparently documented.

• Preferred Candidate

• Engineering graduate with 3+ years of professional experience in data analysis or data science.
• Expert-level proficiency in data manipulation and querying, specifically using SQL (JOINS, Group By, Indexing, Stored Procedures) and advanced Excel (formulas and Pivot Tables).
• Logical thinking mindset with proficiency in Python (Pandas, NumPy, etc.)experience with Apps Script and Google Workspace is a strong advantage.
• Strong mathematical and statistical modeling skills with a focus on analytical problem-solving.
• Experience with data visualization tools (Tableau, Looker Studio) and the ability to interpret process diagrams in Figma.
• Exceptional written and verbal communication skills, with a mandatory ability to translate complex data findings into presentable business insights.
• Knowledge in basic Machine Learning modeling and the use of Python libraries (e.g., NLP - BERT, pandas, numpy, etc), experience utilizing LLM APIs (ChatGPT/Gemini, etc), prompt engineering is plus or good to have.