Data Analytics For leading National Security Firm (Pune)

As a Data Analyst at our company, your role will involve analysing large datasets to identify trends, patterns, and insights that will drive informed business decisions. Your responsibilities will include: - Collecting and analysing large datasets to uncover trends and insights. - Developing reports and dashboards to effectively communicate findings to stakeholders. - Collaborating with cross-functional teams to enhance business performance. - Applying statistical techniques and machine learning algorithms for improved forecasting accuracy. - Identifying and resolving data quality issues promptly. - Creating and maintaining data models and databases to support reporting and analysis. - Staying updated with industry trends and emerging technologies to shape data strategy and analysis. To qualify for this role, you should meet the following requirements: Must-have: - Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. - At least years of experience in a data analytics role. - Strong analytical and problem-solving capabilities. - Proficiency in SQL and data visualization tools like Tableau and Power BI. - Experience with statistical analysis and machine learning techniques. - Ability to convey complex data insights to non-technical stakeholders. Desirable: - Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. - Familiarity with programming languages such as Python or R. - Experience with cloud-based data platforms like AWS, Azure, Google Cloud Platform. - Knowledge of data governance and data management best practices. Additionally, your technical skills should include: - Proficiency in SQL for data extraction and manipulation. - Familiarity with data visualization tools such as Tableau, Power BI, or similar. - Experience in statistical analysis and machine learning techniques. - Knowledge of programming languages like Python or R. - Understanding of cloud-based data platforms such as AWS, Azure, Google Cloud Platform. - Ability to work with large datasets, conduct data cleaning, and manipulation. - Awareness of data governance and data management best practices. This is an individual contributor role where your expertise in data analytics will play a crucial part in driving business decisions and performance improvements. As a Data Analyst at our company, your role will involve analysing large datasets to identify trends, patterns, and insights that will drive informed business decisions. Your responsibilities will include: - Collecting and analysing large datasets to uncover trends and insights. - Developing reports and dashboards to effectively communicate findings to stakeholders. - Collaborating with cross-functional teams to enhance business performance. - Applying statistical techniques and machine learning algorithms for improved forecasting accuracy. - Identifying and resolving data quality issues promptly. - Creating and maintaining data models and databases to support reporting and analysis. - Staying updated with industry trends and emerging technologies to shape data strategy and analysis. To qualify for this role, you should meet the following requirements: Must-have: - Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. - At least years of experience in a data analytics role. - Strong analytical and problem-solving capabilities. - Proficiency in SQL and data visualization tools like Tableau and Power BI. - Experience with statistical analysis and machine learning techniques. - Ability to convey complex data insights to non-technical stakeholders. Desirable: - Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. - Familiarity with programming languages such as Python or R. - Experience with cloud-based data platforms like AWS, Azure, Google Cloud Platform. - Knowledge of data governance and data management best practices. Additionally, your technical skills should include: - Proficiency in SQL for data extraction and manipulation. - Familiarity with data visualization tools such as Tableau, Power BI, or similar. - Experience in statistical analysis and machine learning techniques. - Knowledge of programming languages like Python or R. - Understanding of cloud-based data platforms such as AWS, Azure, Google Cloud Platform. - Ability to work with large datasets, conduct data cleaning, and manipulation. - Awareness of data governance and data management best practices. This is an individual contributor role where your expertise in data analytics will play a crucial part in driving business decisions and performance improvements.