We are looking for a Senior Data Analyst with strong hands-on experience in data analysis, statistical analysis, business insights and data visualization. The role will focus on analyzing large datasets, identifying trends and patterns and translating business questions into actionable insights.
Key Responsibilities
- Analyze large datasets using SQL, Python and PySpark to identify trends, patterns and anomalies.
- Perform EDA, hypothesis testing and statistical analysis.
- Use BigQuery for data extraction, transformation and analysis.
- Build analytical datasets, models and KPIs for business decision-making.
- Develop dashboards using Streamlit, HTML and/or Looker Studio.
- Translate business problems into analytical approaches and actionable insights.
- Present findings to technical and business stakeholders.
- Perform data validation and reconciliation to ensure analytical accuracy.
- Collaborate with Data Engineering, Data Science and business teams.
- Explore GenAI/LLM-based approaches for analytics and insight generation.
Must-Have Skills
- 5+ years in Advanced Data Analytics / Business Analytics / Data Science.
- BigQuery and advanced SQL.
- Python with Pandas/NumPy.
- PySpark.
- Exploratory Data Analysis , data analysis and interpretation.
- Hypothesis testing and statistical analysis.
- Streamlit, HTML or Looker Studio.
- Strong KPI, business analysis and insight-generation skills.
- Ability to independently handle an analytics problem from requirement to insight.
Good to Have
- Machine Learning / Predictive Analytics
- Regression / Statistical Modelling
- NLP
- Forecasting / Time Series
- GenAI / LLMs (OpenAI, Gemini)
- Prompt Engineering
- AI-assisted analytics and insight generation
Interested candidates can share their resumes via DM Significant – Please Apply Only If You Meet the Core Requirements