Opis:
What we offer
- Competitive salary
- Annual performance-based bonus
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up (up to 800 PLN).
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking
Wymagania:
Our requirements
- Strong IT Business Analyst with Financial Services experience (min. 5 years) in data analytics, business intelligence, or related areas.
- Experience in leading brainstorming, process mappings, workshops, and Agile story mappings.
- Experience in IT Business/Data Analyst role in software delivery, in technical product development and delivery using various technologies and can explain how they achieved this, and the technologies used. Working closely with Developers, Architects, Product Managers and Business Stakeholders.
- Strong communication skills, with the ability to present complex data insights in an understandable and actionable way, to communicate effectively with all levels of stakeholders (both business and technology).
- Working knowledge of SQL, and capable of navigating databases.
- Good knowledge of SDLC and formal Agile processes, willingness to test products as part of the delivery cycle SIT, UAT and Production Support. Working knowledge of Jira and Confluence.
- Knowledge of ETL Process, GCP, Hadoop.
- Knowledge of one or more of the following domains (including market data vendors): Party/Client, Trade, Settlements, Payments, Instrument and pricing, Market and/or Credit Risk.
Obowiązki:
Your responsibilities
- Be responsible for requirements gathering, documentation of solution design, documenting and executing test scenarios and performing a variety of change and implementation management activities.
- Support change management activities spanning from early change planning and audience analysis; through to designing and delivering change interventions (e.g., communications, training, support, organisation alignment); and tracking.
- 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.
- Support the SIT, UAT and Production Support.
- Validate, analyse, data model and write the clear use stories to Data Engineers.
- 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.
12 lut 2025;
from:
www.pracuj.pl