Business Intelligence and Data Insights Specialist

As a highly analytical Data Analyst with 2+ years of experience in Statistics, SQL, and Python, you will have the opportunity to directly contribute to shaping high-impact campaigns and strategic decisions. Your role will involve working with large datasets, validating insights using robust statistical methods, and building intuitive dashboards to empower teams to make fast, accurate, and data-driven decisions. Your work will be instrumental in influencing key campaign strategies, optimizing performance, and driving measurable outcomes.

Key Responsibilities:

• Write optimized SQL 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 and inferential statistics, Hypothesis testing, correlation and regression analysis, Probability distributions, Sampling methods.
• Clean, prepare, and analyze large datasets using Python (Pandas, NumPy).
• Build interactive dashboards and automated reports using Power BI, Tableau, or Looker.
• Conduct exploratory data analysis (EDA) and generate insights from a statistical perspective.
• Present analytical findings clearly to both technical and non-technical stakeholders.
• Ensure data accuracy and maintain detailed documentation for all analytical processes.

Required Skills

• Strong foundation in Statistics (core component of the role).
• Solid proficiency in SQL for data querying and transformations.
• Hands-on experience with Python for data analysis and automation.
• Good knowledge of data visualization tools like Power BI, Tableau, or Looker.
• Understanding of data modeling, ETL concepts, and dataset validation.
• Excellent analytical thinking and problem-solving skills.
• Strong communication skills to explain statistical findings in simple terms.

Good to Have:

• Experience with statistical modeling 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 As a highly analytical Data Analyst with 2+ years of experience in Statistics, SQL, and Python, you will have the opportunity to directly contribute to shaping high-impact campaigns and strategic decisions. Your role will involve working with large datasets, validating insights using robust statistical methods, and building intuitive dashboards to empower teams to make fast, accurate, and data-driven decisions. Your work will be instrumental in influencing key campaign strategies, optimizing performance, and driving measurable outcomes.

Key Responsibilities:

• Write optimized SQL 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 and inferential statistics, Hypothesis testing, correlation and regression analysis, Probability distributions, Sampling methods.
• Clean, prepare, and analyze large datasets using Python (Pandas, NumPy).
• Build interactive dashboards and automated reports using Power BI, Tableau, or Looker.
• Conduct exploratory data analysis (EDA) and generate insights from a statistical perspective.
• Present analytical findings clearly to both technical and non-technical stakeholders.
• Ensure data accuracy and maintain detailed documentation for all analytical processes.

Required Skills

• Strong foundation in Statistics (core component of the role).
• Solid proficiency in SQL for data querying and transformations.
• Hands-on experience with Python for data analysis and automation.
• Good knowledge of data visualization tools like Power BI, Tableau, or Looker.
• Understanding of data modeling, ETL concepts, and dataset validation.
• Excellent analytical thinking and problem-solving skills.
• Strong communication skills to explain statistical findings in simple terms.

Good to Have:

• Experience with statistical modeling 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