The senior data analyst will work closely with data to help the organization make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, senior data analyst draw conclusions from data to describe, predict, and improve business performance. They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis.

Senior data analysts are also responsible for providing high level advanced triage support to stakeholders, business partners, and product teams in managing specific issue resolution activities. They utilize Programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. They are also responsible for performing quantitative analysis of complex business situations, such as strategies, performance, and solutions involving onboarding and customer performance. Besides using quantitative tools, they may also apply advanced computer modelling, database tools and / or other approaches in conducting the analysis.

The senior data analyst work description also entails providing leadership to junior analysts and brainstorming with the line manager and teams on approaches or solutions to a business problem.

It also involves suggesting solutions for moderate to complex sales / customer opportunities and internal processes, as well as overseeing cross-departmental projects as needed.

Responsibilities includes

• Person is responsible for providing high quality Data, Expertise, and Insight to Process Owners, Operations Teams and Management within the Financial Crime Business Units and Segments.
• Providing innovative analytical insights within the Data Products Program.
• Conducting detailed data analysis on data used across business units to evaluate business processes and improve on / create new feature.
• Performing various data analytics in SQL and MS Excel using statistical models or industry accepted tools.
• Participate in ad-hoc Data research initiatives to provide Data, ideas and support to R&D / Process Improvement initiatives.
• Providing relational database expertise to construct and execute SQL queries to be used in data analysis activities.
• Should be capable of independently prepare slides for senior management stakeholders and present the data models neatly which attracts decisions to be taken by them.
• Innovate with how we present Data to senior management to make actionable insights and metrics enabling business to take data driven decisions.
• Providing expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
• To analyse, select and organise ideas to write a clear, concise, correct and complete business report and / or to present ideas and messages eloquently.

Regulatory and Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Our Ideal Candidate

• A Master’s degree in Analytics, Computer Science, or Data Science; Mathematics or in a related field and 3 - 5 years of industry experience in data analysis using SQL and MicroStrategy technologies.
• Certification in any of the Financial Domain or Banking Domain, Data Science, AI is desirable. SQL and relational database knowledge are required for the senior data analyst position in the financial sector especially in financial crime compliance domain.
• An advanced data management techniques with extensive experience. 7-10 years of industry experience as a Business/Data Analyst with 3 - 5 experience in data analysis using tools such as SQL and Excel.
• Understanding of Scripting experience in (Python, Perl, JavaScript, Shell); Practical knowledge of data in various forms (data warehouses / SQL, unstructured data environments/PIG,HIVE, Impala, Think cell and pivot tables in Excel); Familiarity with BI reporting tools (i.e. MicroStrategy, Tableau and Business Objects); Experience working within process management and improvement methodologies – Lean, Six Sigma, etc and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ); Understanding of Agile development methodologies, software design patterns, network design and architecture; Experience in quantitative analysis and statistical modelling. Experience in continuous process improvement methods is a plus.
• The senior data analyst must be able to work well under pressure and achieve results within the scheduled timeframe.
• The role of a senior data analyst involves working with people and managing junior team of analysts. It is crucial that they have exceptional writing and verbal communication skills to perform their job duties and manage others