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 qualified 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.
Robust 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 positive to have.

📌 Sql,python & Advanced Excel Hyderabad
🏢 Cognizant
📍 Hyderabad