About the Role
We are looking for a highly analytical Data Analyst (2+ years of experience) with strong expertise in Statistics, SL, and Python. In this role, you won't just analyse numbers, you will directly contribute to shaping high-impact campaigns and strategic decisions. You will work with large datasets, validate insights using robust statistical methods, and build intuitive dashboardsthat empower teams to make fast, accurate, and data-driven decisions. Your work will play a pivotal role in influencing key campaign strategies, optimising performance, and driving measurable outcomes.
Key Responsibilities
- Write optimized SL queries for data extraction, processing, and analysis.
- Perform statistical analyses to validate hypotheses, identify patterns, and support business decisions.
- Conduct data mining and preprocessing to clean, transform, and structure raw data for analytical use, ensuring high accuracy and reliability.
- Apply statistical techniques such as:
- Descriptive C inferential statistics
- Hypothesis testing, correlation C regression analysis
- Probability distributions
- Sampling methods
- Clean, prepare, and analyze large datasets using Python (Pandas, NumPy).
- Build interactive dashboards C automated reports using Power BI/Tableau/ Looker.
- Conduct exploratory data analysis (EDA) and generate insights from a statistical perspective.
- Present analytical findings clearlyto both technical C non-technical stakeholders.
- Ensure data accuracy andmaintain detailed documentation for all analytical processes.
Required Skills
- Strong foundation in Statistics (core component of the role).
- Solid proficiency in SL for data querying and transformations.
- Hands-on experience with Python for data analysis and automation.
- Good knowledge of data visualization tools (Power BI / Tableau / Looker).
- Understanding of data modelling, ETL concepts, and dataset validation.
- Excellent analytical thinking and problem-solving skills.
- Strong communication skills to explainstatistical findings in simple terms.
Good to Have
- Experience with statistical modelling or basic ML algorithms
- Experience working with large, complex datasets.
Education
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Economics, or related fields.
Candidate Preference:
Immediate joiners will be preferred.
Salary:
As Per Market Standards
Location:
- Hyderabad/Kolkata based on requirements
