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Business Analyst
2 miesięcy temu
technologies-expected :
Google Cloud Platform
responsibilities :
Work with business stakeholders, subject matter experts, and technical teams to understand the business processes and requirements for various initiatives.
Document and formalize the business and data requirements using industry-standard methodologies and tools.
Identify data requirements and its specifications that accurately reflect the business needs and support the underlying processes.
Collaborate with software developers and data architects to ensure that the data architecture and software designs align with the business requirements and goals.
Support and maintain existing ETL pipelines with python & GCP development, automated testing of new and existing components in an Agile, DevOps and dynamic environment.
Define and obtain source data required to successfully deliver insights and use cases
Determine the data mapping required to join multiple data sets together across multiple sources
Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on
Document the data design and solutions to the high end for future reference.
Technically able to validate, analyze, data model and write the clear use stories to Data Engineers.
Propose suitable data migration sets to the relevant stakeholders
Assist teams with processing the data migration sets as required
Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each cutover
Support data-related tasks such as data mapping, data lineage, data governance, data quality, and metadata management
requirements-expected :
Minimum [5] years of experience in data analytics, business intelligence, or related areas
Good to have PEGA customer analytical data model understanding and experience working with.
Experience in a Business/Data Analyst role
Familiarity with the different data management services and technologies available on Google Cloud platform such as BigQuery, Cloud Storage, Dataproc and Dataflow
Knowledge of PySpark & SQL, and capable of navigating databases especially Hive.
Strong communication skills, with the ability to present complex data insights in an understandable and actionable way
Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle SIT, UAT and Production Support.
Knowledge of data modeling, database design, and data management principles.
Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.
Able to handle and manipulate large time-series data sets.
Strong analytical and problem-solving skills, with the ability to work with complex data sets.
Attention to detail and ability to manage multiple tasks and priorities
Understand the Data Definition Tagging processes like Logical to Physical Mapping, Data Processing Flow to measure the consistency etc
benefits :
sharing the costs of sports activities
private medical care
life insurance
