Data Analyst

Role & Responsibilities:

• Acquire and mine data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Active role in data analysis, data mapping and interpretation. Exercise sound judgment while analyzing and interpreting data to ensure a high level of accuracy, timeliness, and usefulness for business leaders.
• Identifying the key metrics suitable for reporting on various subjects ranging from data management, data quality, progress of various data management, progress of various data investigation & remediation activities etc.
• Define appropriate data sourcing, frequency, methodology for calculation & presentation.
• Preparing reports for management team that effectively communicate trends, patterns, and predictions using relevant data.
• Understand business priorities and emergencies and deliver outcomes in sprints/MVPs.
• Developing and maintaining the software responsible for the manipulation of data including parsing, matching loading and publishing.
• Align to the bank's architecture principles and design solutions working with other business and technology stakeholders.

Skill & Qualification:

• Minimum years of experience: 6+ years in Data analysis & visualization / Reporting.
• Technical expertise regarding data models, data mining and segmentation techniques.
• Familiarity with cloud computing environments, e.g. Amazon Web Services or Google Cloud Platform, particularly from interacting with cloud databases, data warehouses and static data sources (files, buckets etc)
• Technical: strong experience with using SQL on cloud data warehouses, and building insightful dashboards
• Extensive knowledge of data processing for large datasets
• Extract and analyze data from various data sources, and Conduct data cleaning, data validation, and data profiling
• Ability to create Data Mapping documents and conduct validation of data.
• Good understanding of collaborative software engineering practices (Agile, DevOps)
• Professional experience as a Business Analyst, Data/Web Analyst or Data Scientist
• Independent problem-solver, including an ability to self-learn new techniques/tools as needed.
• Strong interpersonal skills with the ability to collaborate, network and build strong relations with team members and stakeholders

ROLE SPECIFIC COMPETENCIES

Requirements Gathering (Banking, Datawarehouse) Expert

Data Mapping & Data Modelling Advanced

SQL / Hive Advanced

Agile / Jira/ Azure Devops Intermediate