DATA ANALYST

Key Responsibilities/Accountabilities:

• Business needs analysis

  Receive requests for data, engage and collaborate with internal and / or external stakeholders to understand business data requirements and proactively interrogate stakeholders to ensure that performance data are delivered in an appropriate format and to the desired specifications.

• Data sourcing

  Identify and evaluate alternate, available, and relevant data sources to ensure reliability, validity, and simple, efficient access to appropriate source data. Locate and remove duplicate sources of data and download and store required data resources in a chronological structure. Where required, work with other analysts and data engineers on quality assurance of source data and systems.

• Data cleaning

  Identify and resolve any ad hoc and / or persistent data quality and integrity issues by conducting both routine and ad-hoc data cleaning and testing, to facilitate the generation of aggregate and up-to-date performance data in a timely manner while also meeting the principles relating to accuracy, integrity, completeness, and adaptability.

• Data processing

  Perform data pre-processing (i.e., data manipulation, transformation, normalization, standardization, visualization, and derivation of new variables/features), as applicable to developing specific algorithms or models. Build rules to transform the data into normalized data and / or report formats, depending on the needs of Model Development. Compile, sort and organizes data in preparation for subsequent analysis.

• Data analysis

  Discover and apply insights from big data sets of structured, semi-structured, and unstructured data to support business performance, client experience, overall execution of the strategy and decision making. Apply data mining techniques, perform statistical analysis on large data sets and validate analysis using appropriate techniques (applying test data sets, A/B testing, scenario modelling, etc.).

• Stakeholder engagement

  Form productive networks with internal and external stakeholders. Collaborate to develop / enhance existing customer behavior predictive models to meet specific business needs. Work with data analysis colleagues across the group to review, approve, produce, or update system or object data models and correlate these with bank models. Work with database design or administration teams to translate object and data models into appropriate database schemas within design constraints.

• Quality assurance

  Ensure all data solutions are delivered within required standards and agreed timelines. Quality assure