IND Analyst I Data Analytics

Job Description As an Analyst in GSM Analytics: Data Engineering - Analytics & BI, your role will involve working on advanced analytics projects and contributing to data engineering initiatives. You will be part of a dynamic team where innovation, collaboration, and problem-solving skills are highly valued. Here are the key responsibilities you will undertake: - Collect requirements and design advanced analytics, including descriptive and predictive models, machine learning techniques, AI, and RPA. - Monitor incoming data analytics requests, execute analytics as needed, and distribute results efficiently. - Plan and moderate data analytics champions meetings and communicate essential information with the team. - Develop, implement, support, and maintain data analytics protocols, standards, and documentation. - Analyze complex data, identify anomalies, trends, risks, and provide insights to improve internal controls. - Prepare documentation, analytic dashboards, and reports for stakeholders, ensuring summarized results and detailed information are readily available. - Handle ad-hoc analytics requests and facilitate data acquisition for internal projects and investigations. - Contribute to process improvement, efficiencies, and innovation activities. - Communicate data requirements and ensure global teams have access to necessary information. - Assist global teams in understanding data relationships to business processes. - Participate in department technology leadership work streams and support knowledge management processes. Desirable Skills: - Bachelor's or Master's degree in computer science or a related field. - Internship or project experience in data analysis, data science, or data engineering. - Knowledge of big data technologies and cloud platforms like AWS, Azure. - Proficiency in Python, R, or other programming languages. - Exposure to database concepts (e.g., MS SQL) for data acquisition and querying. - Experience in developing user-friendly dashboards on Data visualization tools such as Power Bi, Tableau. - Knowledge of machine learning techniques and their advantages/drawbacks. - Experience in building data ingestion pipelines and transformations using tools like Databricks, Trifacta, etc. - Familiarity with cloud technologies and advanced analytics concepts. In addition to technical skills, you will be expected to demonstrate: - Ability to learn and apply business concepts quickly. - Strong communication skills for engaging with technical and non-technical stakeholders. - Excellent verbal and written communication abilities. - Organizational and multitasking skills to manage varied responsibilities effectively. This job offers a challenging yet rewarding opportunity to contribute to innovative analytics projects and data engineering initiatives. As an Analyst in GSM Analytics: Data Engineering - Analytics & BI, your role will involve working on advanced analytics projects and contributing to data engineering initiatives. You will be part of a dynamic team where innovation, collaboration, and problem-solving skills are highly valued. Here are the key responsibilities you will undertake: - Collect requirements and design advanced analytics, including descriptive and predictive models, machine learning techniques, AI, and RPA. - Monitor incoming data analytics requests, execute analytics as needed, and distribute results efficiently. - Plan and moderate data analytics champions meetings and communicate essential information with the team. - Develop, implement, support, and maintain data analytics protocols, standards, and documentation. - Analyze complex data, identify anomalies, trends, risks, and provide insights to improve internal controls. - Prepare documentation, analytic dashboards, and reports for stakeholders, ensuring summarized results and detailed information are readily available. - Handle ad-hoc analytics requests and facilitate data acquisition for internal projects and investigations. - Contribute to process improvement, efficiencies, and innovation activities. - Communicate data requirements and ensure global teams have access to necessary information. - Assist global teams in understanding data relationships to business processes. - Participate in department technology leadership work streams and support knowledge management processes. Desirable Skills: - Bachelor's or Master's degree in computer science or a related field. - Internship or project experience in data analysis, data science, or data engineering. - Knowledge of big data technologies and cloud platforms like AWS, Azure. - Proficiency in Python, R, or other programming languages. - Exposure to database concepts (e.g., MS SQL) for data acquisition and querying. - Experience in developing user-friendly dashboards on Data visualization tools such as Power Bi, Tableau. - Knowledge of machine learning techniques and their advantages/drawbacks. - Experience in building data ingestion pipelines and transformations usin