Business Analyst - CDWA

at  rinftech

Job Description
Business analyst is part of a Squad, together with other people of different skills (technical analyst, dev engineer, QA), coordinated by a Product Owner, and having the common goal of implementing reporting/ analytics solutions dedicated for business needs. The Business Analyst is a key specialist, responsible for being the interface/ liaison between business lines and IT teams, to develop and maintain data lake/ similar solutions, in terms of data model, core information warehouse, and consuming data marts. Business Analyst is responsible with the metadata and the implementation of the definitions aligned with the data owners within the data lake, according to GDM (Global Data Management) and local data management model.
About us
Rinf.tech is a technology consulting and software services company. Founded in 2006 in Romania, we have grown into a global organization with 600+ engineers and 8 Delivery Centers in Europe and North America (Romania, Bulgaria, Ukraine, Turkiye, and Mexico).
We offer custom software solutions and support for our worldwide partners through three main Business Units: Business Applications, R&D Embedded, Robotics, and Automotive.
At Rinf.tech, you’ll come across friendly people and a genuine way of thinking. RINFers are eager to learn from each other, explore and reinvent the world of technology.

What you’ll do

• Collaborate with business data owners/data stewards to understand their data, their data needs and business contex;
• Analyze the data to onboard in the data warehouse;
• Participate in Set up of conceptual, logical, and dimensional data models, and define default terms for the business terms, based on the IBM Banking Data Warehouse (BDW);
• Bring the data under governance by recording the data definitions in the data dictionary and maintain them as part of metadata management;
• Test data and keep consistency and quality;
• Match the local and global definitions to the requirements of data users, data owners and other stakeholders;
• Set requirements for data quality, data lineage, data security, data privacy and other relevant aspects for business terms/data assets;

What you offer us

• Good knowledge of bank products and processes;
• Excellent problem analyzer and ability to identify the optimal solution;
• Good knowledge of SQL (medium level) is a must;
• Knowledge and experience with data modeling techniques and the development of conceptual, logical and dimensional data models is a plus;
• Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders;
• Excellent command of English in word and writing to define business terms;
• Ability to encourage the team, to stimulate teamwork, and to take responsibility;
• Ability to guide novices and to demonstrate a clear view of actions related to goals;
• Ability to suggest and entertain topics to community;
• Enthusiastic personality, bringing pleasure and connection with Agile way of working in multidisciplinary teams;

What we offer you

• Flexible working environment
• Learning budget and platforms
• Wide variety of projects you could be part of
• Medical subscription
• HR representative to guide you in your professional career development
• Flexible benefits platform
• Bookster

Our recruitment process

• HR Discussion
• Technical interview
• Offer

Meet us!

If you are still unsure, we are inviting you to come by anytime for a tour of our office without any commitment.

• All applications are strictly confidential. We will not disclose any private information without having your approval.

• Collaborate with business data owners/data stewards to understand their data, their data needs and business contex;
• Analyze the data to onboard in the data warehouse;
• Participate in Set up of conceptual, logical, and dimensional data models, and define default terms for the business terms, based on the IBM Banking Data Warehouse (BDW);
• Bring the data under governance by recording the data definitions in the data dictionary and maintain them as part of metadata management;
• Test data and keep consistency and quality;
• Match the local and global definitions to the requirements of data users, data owners and other stakeholders;
• Set requirements for data quality, data lineage, data security, data privacy and other relevant aspects for business terms/data assets