Temat tygodnia
Zobaczcie, jakie metody stosują pracodawcy, żeby wyłowić największe talenty.
Trwa ładowanie. Prosimy o chwilę cierpliwości.
Przeglądana oferta pracy jest nieaktualna
EY (dawniej Ernst & Young)
Data aktualizacji: 2021-05-12
Warszawa, mazowieckie
IT, Konsulting, Analiza
Data aktualizacji: 2021-05-12
REKRUTACJA ZDALNA

Oferta pracy jest nieaktualna

Pracodawca zakończył rekrutację na to ogłoszenie

Consulting

Data Business/Systems Analyst in Technology Consulting

The Technology Consulting team works with world’s best-known large domestic and global: financial institutions, broker-dealers, foreign banking organizations, asset management and insurance companies, who trusted us to assist them with large scale transformation programme delivery challenges.

The opportunity

You can expect plenty of autonomy and variety in this role, so you’ll also need the ability to be nimble. We will appreciate when You are willing to take initiative and seek out opportunities to improve our current relationships and support to prioritize participation in practice initiatives to provide a long term pipeline of projects for our firm. If you’re serious about progressing and ready to solve our Clients’ most complex issues, this role is for you.

Your key responsibilities

You will contribute in providing exceptional subject matter expertise and solving complex problems to make a difference for our Clients. Colleagues and Clients from a diverse array of backgrounds will look to you first for answers, so you’ll be a high-profile contact when it comes to resolving complex issues. As you expand your knowledge and experience. You’ll become a credible advisor, influencing Clients and engagement teams on resolutions that will impact entire industries. We are looking for Candidates who will strengthen our Technology Enablement Transformation Team in Poland. We welcome experienced professionals as well as graduates willing to develop in Data & Analytics area. We’re interested in professionals with a genuine interest to contribute to the growth of the Data capability. You can expect plenty of autonomy and variety in this role, so you’ll also need the ability to be nimble. We will appreciate when You are willing to take initiative and seek out opportunities to improve our current relationships and support to prioritize participation in practice initiatives to provide a long term pipeline of projects for our firm. If you’re serious about progressing and ready to solve our Clients’ most complex issues, this role is for you.

Key responsibilities

  • Gathering, documenting and validating business requirements for Data systems (Data Lake, Data Warehouse, Business Intelligence).
  • Data modelling and mapping between source and target systems.
  • Acting as Subject Matter Expert for Testers, Developers and Business Users in the area of Data solution functionality.
  • Defining and estimating scope of work needed for implementation of data systems.
  • Collaborating with team members, mentor other BAs in the team to plan, develop and implement project activities to achieve project and Client goals.
  • Building and maintaining relationships with the Client, key stakeholders.
  • Supporting in growing Data competency within TET Team.
  • Supporting sales initiatives.

Skills and attributes

  • Very good English language in verbal and written communication.
  • Willingness to develop in Data & Analytics space.
  • Excellent communication skills in order to interact with a range of stakeholders.
  • Ability to plan, track and report the status of the deliverables.

Your background

  • At least Bachelor’s degree, preferably in engineering, computer science or similar.
  • Minimum of one year of experience in business/systems analysis role, gathering requirements, conducting workshops with business users, data modelling.
  • Working knowledge of query languages (SQL).
  • Knowledge of data modelling tools.
  • Knowledge of data visualization/reporting tools such as PowerBI.
  • Solid understanding of data lake, datamart, datawarehouse, ETL and SQL concepts & principles.
  • Knowledge and experience in working in Agile methodology.

Ideally, you’ll also have

  • 2-8 years of experience in large, international Data solution implantation programmes.
  • Experience in finance and insurance industry.
  • Experience with HP Quality Center, JIRA, Confluence or Azure DevOps or similar work tracking tools.
  • Knowledge of Data Governance and Data Quality concepts and standards.
  • Knowledge of Microsoft Azure or other cloud platforms.
  • Experience with Guidewire Suite products.
  • Technical knowledge in programming, scripting and related standards (Python, bash, Perl, Java, XML, JavaScript, HTML etc.).

What we look for

We are looking for Candidates who will strengthen our Technology Enablement Transformation Team in Poland. We welcome experienced professionals as well as graduates willing to develop in Data & Analytics area. We’re interested in professionals with a genuine interest to contribute to the growth of the Data capability.


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Tworzymy miejsce pracy przyjazne osobom z niepełnosprawnościami.



O EY Polska

Jesteśmy globalną firmą doradczą - pomagamy przedsiębiorcom, organizacjom i społecznościom najlepiej wykorzystać swój potencjał.
Realizujemy projekty w zakresie: Audytu, Doradztwa Podatkowego, Transakcyjnego i Biznesowego (w tym IT). Zatrudniamy ponad 240 000 wyjątkowych ludzi w ponad 150 krajach na świecie. W Polsce jest nas ponad 2800, a pracujemy w: Warszawie, Gdańsku, Katowicach, Krakowie, Łodzi, Poznaniu i Wrocławiu.

Codziennie tworzymy razem niesamowite rzeczy.
Mamy ludzi, ścieżkę rozwoju i szkolenia, dzięki którym również Ty poradzisz sobie z najbardziej prestiżowymi projektami.

EY jest pracodawcą równych szans, doceniamy różnorodność w zakresie wiedzy i doświadczenia naszych pracowników.
EY zapewnia wszystkim kandydatom jednakowe szanse w procesie rekrutacji, niezależnie od płci, wieku, rasy, wyznania, orientacji seksualnej, pochodzenia, niepełnosprawności lub jakiejkolwiek innej prawnie chronionej podstawy, zgodnie z obowiązującym prawem.