Job Description

Summary:

• To understand the various data sources, how the data flows through the organization, and provide expertise and support through translating business needs into tangible solutions by analyzing data, conducting root cause analysis, and recommending improvements to data pipelines, data quality, metadata, master and reference data, and data access management

• Understand data sources and map to target systems/ solutions
• Provide transformation rules to Data Engineers
• Understand business rules and requirements to solve specific use cases
• Ensure that the process conforms to business objectives and complies with Group Information Architecture
• Apply company, business, Group, and/ or relevant industry knowledge for analysis
• Prepare and present findings on data analysis in written and verbal reports to key stakeholders
• Assist with the mapping of the various source systems to the relevant enterprise data model elements (engage with the Data Modelers where the models need to be extended), and enterprise reference data
• Query and connect data from disparate sources to identify areas where changes are required
• Conduct analysis, time-series analysis, and classification models, and deliver accurate and high-quality analysis (test design and analysis)
• Utilize methodologies and methods for accessing, analyzing, and presenting data
• Research new data sources and analytical tools to improve the process and underlie data analysis
• Understand the quality of data and engage with relevant stakeholders to correct data (if and when necessary), thereby ensuring usability is in line with requirements
• Keep up to date with new data assets and products to identify new opportunities, capabilities, and trends that would add value to the business
• Check the accuracy of data and if it is within relevant thresholds (reasonability), and compare the new output with existing requirements
• Analyse and recommend changes to data pipelines of existing and new initiatives to align these to avoid duplication in data pipelines, and inconsistent mappings
• Partner with stakeholders to grasp problem specifics - collects, processes, and analyzes data to quantify the scope, nature, and severity of the problem
• Engage with Data teams to understand the data landscape
• Engage and drive conversations with relevant stakeholders to unpack the project and requirements
• Evaluate options based on business requirements and provide input into a viable solution based on analysis
• Work with the relevant Data stakeholders when new data or changes to existing solutions are required, and manage timelines and expectations with the business
• Identify opportunities/changes that need to be applied in Data Analytics solutions (Cubes/Production reports)
• Attend relevant priority session and motivate to get the item prioritized
• Ensure proper handover and provide relevant artifacts to stakeholders