Varanasi, Uttar Pradesh, India
Information Technology
Full-Time
Maimsd Technology
Overview
Role : Senior Data Analyst
Location : Bangalore
Experience : 8 - 10 Yrs
Employment Type : Full Time, Permanent
Working mode : Regular
Notice Period : Immediate - 15 Days
About The Role
We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders.
Responsibilities
Data Analysis and Modeling :
Location : Bangalore
Experience : 8 - 10 Yrs
Employment Type : Full Time, Permanent
Working mode : Regular
Notice Period : Immediate - 15 Days
About The Role
We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders.
Responsibilities
Data Analysis and Modeling :
- Develop and execute complex SQL queries to extract, transform, and load data from various sources.
- Conduct in-depth statistical analysis, including hypothesis testing, regression analysis, and time series analysis.
- Build and maintain data models to support analytical needs and reporting requirements.
- Identify and address data quality issues, such as missing values, inconsistencies, and outliers.
- Perform data cleaning and transformation tasks to ensure data accuracy and consistency.
- Create compelling data visualizations using tools like Python (Matplotlib, Seaborn), Tableau, or Power BI.
- Communicate complex findings clearly and effectively to both technical and non-technical audiences.
- Collaborate with cross-functional teams to understand business requirements and define analytical objectives.
- Manage data analysis projects from start to finish, including planning, execution, and reporting.
- Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Machine Learning) to build and scale data pipelines.
- Demonstrate a strong understanding of cloud-based data storage, processing, and analytics.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 8+ years of experience in data analysis or a similar role.
- Strong proficiency in SQL and data manipulation techniques.
- Experience with statistical analysis methods (e.g., hypothesis testing, regression analysis).
- Expertise in data visualization tools (e.g., Python, Tableau, Power BI).
- Familiarity with cloud computing platforms, particularly Microsoft Azure.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Experience with data mining and machine learning techniques.
- Knowledge of scripting languages (e.g., Python, R).
- Experience with data governance and data quality management.
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