Data Analyst

4 tygodni temu

Warszawa, Mazovia, Polska emagine Polska Pełny etat
PROJECT INFORMATION:

Industry: Banking

Location: Remote or hybrid (Cracow)

Rate: Competitive, based on experience

Project language: English

YOUR TASKS:

- 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.
- Support the SIT, UAT, and Production Support.
- Assist with the planning, tracking, and coordination of the data migration team and with the migration run-book and the scope for each cutover.
- Document the data design and solutions to the high end for future reference.
- Technically validate, analyze, data model, and write clear use stories for Data Engineers.
- Propose suitable data migration sets to the relevant stakeholders.
- Assist teams with processing the data migration sets as required.
- Collaborate with data architects, data engineering, and cross-functional teams to support data-driven decision-making processes.
- Support data-related tasks such as data mapping, data lineage, data governance, data quality, and metadata management.
- Identify data requirements and specifications that accurately reflect the business needs and support the underlying processes.

REQUIREMENTS :

- Minimum 5 years of experience in data analytics, business intelligence, or related areas (banking industry preferred).
- Experience in a Business/Data Analyst role.
- Strong communication skills, with the ability to present complex data insights in an understandable and actionable way.
- Strong grasp of fundamental data modeling concepts such as entity-relationship modeling, data flow diagrams, and the ability to create conceptual data models from business requirements.
- Good understanding of industry-standard methodologies and tools used for data modeling and data exploration and profiling.
- Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context.
- Preferable knowledge and experience in Data Quality & Governance.
- Basic knowledge of Python & SQL, and capable of navigating databases, especially Hive.
- Familiarity with the different data management services and technologies available on Google Cloud Platform, such as BigQuery, Cloud Storage, Dataproc, and Dataflow.
- Able to handle and manipulate large time-series data sets.
- 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.
- 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.
- Knowledge of data modeling, database design, and data management principles.
- Understand the Data Definition Tagging processes like Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.

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