Job
Description
As a Data Analyst at C2S Technologies Inc in Hyderabad, you will be responsible for the following key tasks: - Data Management & Analysis: - Collect, clean, and organize large datasets from various sources. - Develop and implement data models to support business intelligence initiatives. - Conduct thorough data analysis to uncover trends, patterns, and insights. - Power BI Development: - Design and develop interactive dashboards and reports using Power BI. - Collaborate with stakeholders to identify key performance indicators (KPIs) and reporting requirements. - Ensure data accuracy and integrity in reporting. - Cloud Computing: - Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing. - Optimize cloud-based data workflows and pipelines for scalability and efficiency. - SQL Queries: - Write complex SQL queries to extract, manipulate, and analyze data. - Perform data validation and troubleshooting to ensure data reliability. - Business Modeling: - Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. - Create and maintain business models that support strategic planning and decision-making. - Technology & Strategy: - Stay updated with emerging technologies and best practices in data analytics and engineering. - Provide insights and recommendations to support business strategies and objectives. Qualifications: - Bachelors degree in Data Science, Computer Science, Statistics, or a related field. - Proven experience in data analysis, data engineering, or a similar role. - Strong proficiency in Power BI and SQL. - Experience with cloud computing platforms (AWS, Azure, Google Cloud). - Knowledge of data modeling techniques and best practices. - Excellent problem-solving skills and attention to detail. - Strong communication skills, with the ability to present complex data insights to non-technical stakeholders. Preferred Qualifications: - Experience with programming languages such as Python or R. - Familiarity with ETL processes and data warehousing concepts. - Understanding of machine learning techniques and their application in business contexts. As a Data Analyst at C2S Technologies Inc in Hyderabad, you will be responsible for the following key tasks: - Data Management & Analysis: - Collect, clean, and organize large datasets from various sources. - Develop and implement data models to support business intelligence initiatives. - Conduct thorough data analysis to uncover trends, patterns, and insights. - Power BI Development: - Design and develop interactive dashboards and reports using Power BI. - Collaborate with stakeholders to identify key performance indicators (KPIs) and reporting requirements. - Ensure data accuracy and integrity in reporting. - Cloud Computing: - Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing. - Optimize cloud-based data workflows and pipelines for scalability and efficiency. - SQL Queries: - Write complex SQL queries to extract, manipulate, and analyze data. - Perform data validation and troubleshooting to ensure data reliability. - Business Modeling: - Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. - Create and maintain business models that support strategic planning and decision-making. - Technology & Strategy: - Stay updated with emerging technologies and best practices in data analytics and engineering. - Provide insights and recommendations to support business strategies and objectives. Qualifications: - Bachelors degree in Data Science, Computer Science, Statistics, or a related field. - Proven experience in data analysis, data engineering, or a similar role. - Strong proficiency in Power BI and SQL. - Experience with cloud computing platforms (AWS, Azure, Google Cloud). - Knowledge of data modeling techniques and best practices. - Excellent problem-solving skills and attention to detail. - Strong communication skills, with the ability to present complex data insights to non-technical stakeholders. Preferred Qualifications: - Experience with programming languages such as Python or R. - Familiarity with ETL processes and data warehousing concepts. - Understanding of machine learning techniques and their application in business contexts.
