Data Science Practitioner Senior Analyst

Job Description Role Overview: As an I&F Decision Science Practitioner Analyst at Accenture, your role will involve analyzing and interpreting complex data to assist organizations in making informed decisions. You will utilize statistical methods, algorithms, and machine learning techniques to extract insights, identify trends, and solve problems. Your responsibilities will include data collection, cleaning, modeling, and visualization. Key Responsibilities: - Designing BAU and Adhoc Reports/Dashboards using tools such as SAS, Tableau, PowerBI, etc. - Taking ownership of reports and delivering BAU reports on high priority. - Automating and documenting reports, dashboards, and data dictionaries. - Creating data pipelines and scheduling ETL workflows. - Interacting with stakeholders and gathering requirements. Qualifications Required: - Any Graduation or MSc degree. - 3 to 5 years of experience in Data Analytics. - Knowledge of the Wealth/Wholesale Banking domain. - Proficiency in SQL (Structured Query Language) and SAS code development (SAS Enterprise Guide). - Familiarity with Snowflake, Tableau, Power BI, Sigma, Matillion, and Python. - Passion for learning and quick upskilling on technologies, along with being a good team player. - Self-learning capabilities and adaptability, flexibility, and problem-solving skills. - Strong communication, analytical, and presentation skills. Role Overview: As an I&F Decision Science Practitioner Analyst at Accenture, your role will involve analyzing and interpreting complex data to assist organizations in making informed decisions. You will utilize statistical methods, algorithms, and machine learning techniques to extract insights, identify trends, and solve problems. Your responsibilities will include data collection, cleaning, modeling, and visualization. Key Responsibilities: - Designing BAU and Adhoc Reports/Dashboards using tools such as SAS, Tableau, PowerBI, etc. - Taking ownership of reports and delivering BAU reports on high priority. - Automating and documenting reports, dashboards, and data dictionaries. - Creating data pipelines and scheduling ETL workflows. - Interacting with stakeholders and gathering requirements. Qualifications Required: - Any Graduation or MSc degree. - 3 to 5 years of experience in Data Analytics. - Knowledge of the Wealth/Wholesale Banking domain. - Proficiency in SQL (Structured Query Language) and SAS code development (SAS Enterprise Guide). - Familiarity with Snowflake, Tableau, Power BI, Sigma, Matillion, and Python. - Passion for learning and quick upskilling on technologies, along with being a good team player. - Self-learning capabilities and adaptability, flexibility, and problem-solving skills. - Strong communication, analytical, and presentation skills.