Data Analyst

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 wont 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

Bachelors 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