Technical Analyst | Data Warehouse @ING Bank
ING
Bucharest, Romania
6 zile în urmă

Discover ING Bank

ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, do your thing .

Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there’s a catch.

In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large.

To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful : talented specialists who take the responsibility and autonomy to make great things happen.

We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for more than 25 years, ING Bank pioneered and challenged the local banking industry.

Technology and innovation are at the core of what we do, making our products relevant for our customers’ lives and businesses.

Currently, ING is the 4th bank in the local markets, based on the assets and is a universal bank with 1,6 million clients from three business segments : individual clients (Retail), SMEs and Mid-Corporate clients and Wholesale Banking.

Your Profile

If you are a DWH Business Analyst who has technical abilities and wants to use them or a DWH / ETL Developer who likes to design the solution more than actually implementing it, here is your chance to switch to the design / specification area as a DWH Technical Analyst.

You should be proficient in SQL and able to understand (or willing to learn) what happens within a DataStage ETL job.

Mission

  • The DWH Technical Analyst is a liaison between the business analysts and the development team. On one side he / she should be able to understand the end-user requirements and identify business needs;
  • on the other hand, he / she should identify the golden source for each business term, create source to target mappings and find implementation options together with developers.

    At the end the solution will be presented for review & acceptance to both teams (business and developers).

    Your Day to Day

  • Collaborate with data modelers, architects, developers and source system analysts to define source system output files structure, ensuring the quality of the data and considering non-functional requirements (security, performance, availability or scalability)
  • Responsible of creation of source to requirements mappings for the business terms defined by the business analysts and source to target mappings for the logical & physical model defined by the data modelers
  • Support Product owner in defining User Stories and backlog for analysis and development teams
  • Provide ongoing support to Dev Team during development phase
  • Support Dev team in SIT (System Integration Testing)
  • Support Product Owner / Business in performing the UAT (User Acceptance Testing)
  • Collaborates with programmers, testers, other development teams and business users
  • Accurately and concisely articulate issues, questions, recommendations to customers, team members, and management. Proactively identify issues and concerns
  • Provides training, documentation and support for business user and other support lines
  • Set up and maintain way of working, design principles, standards and guidelines for local and group Data Lake components.
  • What you bring to the team

    Experience

  • University degree in Computer Science or other related fields preferred; equivalent experience will be considered
  • 3+ years of proven experience in the role of System / Technical Analyst in a Data Warehouse or reporting environment
  • 3+ years of proven experience in the role of Business Analyst in a DWH environment and respective business area in gathering, analyzing and documenting requirements
  • 3+ years of proven experience as DWH SQL / ETL Developer.
  • Knowledge

  • Strong understanding of data warehousing, data modelling, ETL, database design, business intelligence and their processes
  • Strong knowledge of SQL
  • Understanding of modelling principles (conceptual, logical and physical relational and dimensional) is a plus
  • Working knowledge of banking / financial environment is a plus
  • Experience using Agile methodology is a plus
  • Good level of English
  • Skills

  • Good in problem analysis and judgment you evaluate the impact of architectural decisions, actions, choices, risks and updates and their impact on the organization
  • Autonomous in executing tasks, preparation of advice, and decision making about the implementation
  • Persistent you deal with conflicts of interest and obtain a good and acceptable end solution
  • Communicative and persuasive you can document in a comprehensive way to non-IT colleagues the decisions taken.
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