Data Specialist, LCS

Role Overview: You will be responsible for performing data engineering activities and supporting the Reporting, Analytics, and Data team lead in maintaining data systems. Your role will involve conducting data analytical work to produce meaningful reports that drive business benefits and decision-making. Additionally, you will support the Legal, Cosec, and SIS function in data-related activities such as data mapping, assurance, technology projects, and dashboard creations. Key Responsibilities: - Analyze raw data from data sources and assist in its capture and introduction to LCS's data systems/repositories. - Develop and maintain LCS data systems and solutions. - Construct data sets that are easy to analyze and support LCS requirements. - Combine data from different sources to create consistent and machine-readable formats. - Analyze large volumes of data to objectively identify trends and draw appropriate conclusions. - Support the Lead of Reporting, Analytics, and Data team within Legal operations in delivering data-related projects, data assurance, data strategy, and data pipelines for reporting and dashboards. - Continuously improve operational efficiency and effectiveness, including automation implementation. - Ensure TAT, delivery SLA, and a high level of data accuracy and security. - Update and maintain process documents and DOIs for the team. - Collaborate with cross-functional teams to identify process improvement opportunities. - Provide insights, reports, and MI to support business decision-making and governance. - Assist in identifying data use cases that benefit the function. Qualification Required: - Bachelor's degree in Data Analytics or a related field. - 6 years of work experience in a data-related field, with 5 years as a data engineer. - Technical knowledge of data warehouses and data lakes (e.g., Azure, SQL). - Hands-on experience in data mining, collection, ingestion, transformation, curation, and segmentation. - Strong proficiency in Excel, including v-lookup, pivot tables, charts, and formulas. - Knowledge of reporting MI and dashboard technologies (e.g., PowerBI, Tableau). - Good technology skills with Microsoft programs (Outlook, Word, PowerPoint). - Experience in methodologies and processes for managing large data sets. - Knowledge of programming languages (e.g., VBA, Python, SQL, Java) is desirable. - Knowledge of service desk principles or certification (e.g., ITIL) is desirable. About the Company: Standard Chartered is an international bank committed to making a positive difference for clients, communities, and employees. With a focus on driving commerce and prosperity, the bank values diversity, inclusion, and continuous improvement. If you are seeking a purposeful career in a bank that values uniqueness and fosters growth, Standard Chartered is the place for you. Celebrate your talents and contribute to a culture that advocates inclusion and values differences. Role Overview: You will be responsible for performing data engineering activities and supporting the Reporting, Analytics, and Data team lead in maintaining data systems. Your role will involve conducting data analytical work to produce meaningful reports that drive business benefits and decision-making. Additionally, you will support the Legal, Cosec, and SIS function in data-related activities such as data mapping, assurance, technology projects, and dashboard creations. Key Responsibilities: - Analyze raw data from data sources and assist in its capture and introduction to LCS's data systems/repositories. - Develop and maintain LCS data systems and solutions. - Construct data sets that are easy to analyze and support LCS requirements. - Combine data from different sources to create consistent and machine-readable formats. - Analyze large volumes of data to objectively identify trends and draw appropriate conclusions. - Support the Lead of Reporting, Analytics, and Data team within Legal operations in delivering data-related projects, data assurance, data strategy, and data pipelines for reporting and dashboards. - Continuously improve operational efficiency and effectiveness, including automation implementation. - Ensure TAT, delivery SLA, and a high level of data accuracy and security. - Update and maintain process documents and DOIs for the team. - Collaborate with cross-functional teams to identify process improvement opportunities. - Provide insights, reports, and MI to support business decision-making and governance. - Assist in identifying data use cases that benefit the function. Qualification Required: - Bachelor's degree in Data Analytics or a related field. - 6 years of work experience in a data-related field, with 5 years as a data engineer. - Technical knowledge of data warehouses and data lakes (e.g., Azure, SQL). - Hands-on experience in data mining, collection, ingestion, transformation, curation, and segmentation. - Strong proficiency in Excel, including v-lookup, pivot tables, charts, and formu