Nazwa pracodawcy:

Data dodania:

Nr referencyjny:

Miejsce pracy:
Polska, Warszawa
województwo: mazowieckie



Business Inteligence Expert

Opis stanowiska


  • Participate in projects covering full data lifecycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.

  • Gather business and functional requirements and translate these requirements into robust, scalable and operable solutions that work well within the overall data architecture.

  • Develop processes of the ingestion of data using various programming languages, techniques and tools from systems implemented using Oracle, Teradata, SAP, Hadoop technology stack.

  • Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers.

  • Build large database models for FP&A including Balance Sheet, PnL, Cost Analytics and Related Ratios.

  • Use Dataiku to develop ETL, real time and batch data processes feeding into in-memory data infrastructure.

  • Perform and document data analysis, data validation, and data mapping/design.

  • Optimize Exasol data infrastructure using partitions, sorting and virtualized views accelerate query times by reducing query planning and reading times.

  • Conduct unit tests and develop database queries to analyse the effects and troubleshoot any issues.

  • Use query job analytics to analyse BI query plans to optimise execution times irrespective of the size of the underlying data set.

  • Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions.

  • Conduct research via focus groups, usability test or other related tools.

  • Create tools to store data within the organization.

  • Evaluate and make decisions around the use of new or existing software products and tools.

  • Participate in data driven user experiences design process.

  • Mentor junior data engineers.



  • Fluent English (C1/C2 level both written and oral).

  • Technical background (Computer Science | Information Technology | Mathematics | Physics | Statistics | Electronics | Electrical Engineering | Software Engineering | other related technical disciplines).

  • Passion for data, visualisations, technologies and discovering new exciting solutions to the company’s data needs.

  • Excellent communication, interpersonal, analytical and problem-solving skills with a strong appetite for finding facts and offering solutions.

  • Comfortable communicating and working with colleagues from different time zones and cultures.

  • 5+ years of commercial project implementation experience (Database | Data warehousing | ETL | BI | Big Data | Data Science).

  • Commercial experience with programming languages.

  • Proficient in SQL (DML | DDL | DCL | TCL).

  • Commercial experience working on database/data warehouse projects.

  • Commercial experience creating ETL processes using data integration tools.

  • Commercial experience in Business Intelligence.

  • Commercial experience working with Big Data.

  • Familiarity with Data Science concepts.

  • Ability to interpret written business requirements and technical specification documents.

  • Experience in Agile delivery model.


  • Experience with PL/SQL, Lua, etc.

  • Experience with Oracle, Exasol, SAP BWetc.

  • Experience with Dataiku, Informatica Power Center, etc.

  • Experience with SAP BO, SAP Analytics Cloud, Tableau, etc.

  • Experience with Hadoop, Spark, etc.

  • Familiarity with Python, R, etc.

  • Experience in handling large data sets (multiple TBs) and working with structured, unstructured and geographical datasets.

  • Performance monitoring, fine-tuning and optimization of ETL processes & dashboards.

  • Experience with UX/UI design, awareness of best practices.

  • Experience in Financial Sector / FP&A.

Kontakt Aplikuj!

W zgłoszeniach prosimy o umieszczenie klauzuli o następującej treści: "Wyrażam zgodę na przetwarzanie moich danych osobowych dla potrzeb niezbędnych do realizacji procesu rekrutacji (zgodnie z Ustawą z dnia 10.05.2018 roku o Ochronie Danych Osobowych, Dz. U. 2018 r. poz. 1000)."