Data Analyst - Mapping, Modelling

ROLE DESCRIPTION:

Data warehousing migration programs that involve cross geography and multi-functional delivery

To align project timeline to ensure project success delivery.

Provide support to Data Analysis, Mapping and Profiling

Perform data requirement gathering, analysis and documentation.

Mapping of data attributes from different source systems to the target data models and ensuring the same business rules are followed

interpreting use case requirement and design of target data model/ data mart

Profiling of data attributes to assess data quality that affects referential integrity and provide remediation recommendations.

Ensures that data use is complies to the data architecture principles including golden sources and standard reference data.

Data modelling for better data integration within the data warehouse platform

Key responsibilities are:

To work together with squad members for success delivery of projects that includes managing different stakeholders like business, other technology teams and internal development teams; Ensuring delivery is align to the timeline for each milestone.

To work closely with various stakeholders in analyzing the user requirements, profiling data, and finalizing the requirements for delivery (Do the right thing).

Transforming data requirements into data models through design and modelling aligning to the data warehousing standards and processes.

Create data mapping templates for Data Model mapping.

Profile data to assess data quality, suitability, and cardinality.

Support data stores inbound and/or outbound development activities provide guidance and clarification to development team on the mapping developed.

Responsible to provide direction on solution from a standard product / architecture perspective Participate in key decision-making discussions liaising with business stakeholders

Perform SIT and support UAT.

Responsible to manage the change request effectively and efficiently during the project delivery with all agreed controls

Align with the bank process and standards and ensure there are no deviations Deliver Functional documentation to the development team while collating the requirements from various stakeholders To ensure alignment to Data Quality Management Framework that includes Data Management through lineage documentation, data control to ensure data quality securities.