Statistical Data Analyst

About the Role We are looking for a highly analytical Data Analyst (2+ years of experience) with strong expertise in Statistics, SǪL, 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 SǪL 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 SǪL 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