Data Miner

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Angajator: APT Resources & Services SRL
Domeniu:
  • Asigurari - Intermedieri financiare
  • Banci
  • Marketing
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
    Orase:
  • BUCURESTI
  • Ilfov
  • Actualizat la: 26.08.2018
    Scurta descriere a companiei

    APT RESOURCES & SERVICES SRL

    Cu o prezență de peste 22 de ani pe piața românească de resurse umane, grupul de firme APT- Work Service este prezent în avangarda primilor cinci furnizori de servicii complexe de HR din România.
    Ca o confirmare a performantei noastre in domeniul resurselor umane, din vara 2017 am devenit parte a grupului Work Service S.A., unul dintre cei mai mari jucatori de pe piata de resurse umane din Europa centrala si de Est. Anual peste 300.000 de persoane isi gasesc un job prin societatile afiliate Work Service, care gestioneaza sau ofera servicii unui numar de 50.000 de angajati in 20 de tari.
    Strategia Grupului APT se concentrează pe dezvoltarea proactivă a pieței muncii, pentru care identifică, pregătește și oferă specialiști competenți, absolvenți sau studenți cu potențial. Noi aducem omul potrivit la locul potrivit. Cu un palmares de peste 10.000 de angajări, acoperim cele mai căutate domenii, cu focus pe BPO, finanțe-bănci, IT&C, inginerie, retail, auto-motive.

    Adresa: str. Clucerului 82B2, sector 1 Bucuresti; email: office@apt.ro; phone: +40 21 222 13 03
    Autorizație de muncă temporară: seria B nr.0000012/11.11.2015 înregistrată în Registrul Național de Evidență a Agenților de Muncă Temporară la poziția 7
    Autorizație de prelucrare date cu caracter personal :18638
    APT se angajează să vă protejeze datelele dumneavoastră cu caracter personal. Detalii despre prelucrarea datelor dvs. de către APT puteti gasi pe www.apt.ro.

    Cerinte

    • University studies: Preferably Informatics, Cybernetics, Mathematics, Statistics;

    • Experience> 2 years in reporting / business analysis (preferably in the telecom industry or in data mining & complex statistical analysis);

    • Extensive knowledge of statistical analysis applicable to direct marketing activities (customer contact and product, offer and service);

    • Clear understanding of analysis, reporting and evaluation systems (eg SAS, Enterprise Guide, Business Ojects, SQL) as well as data and technical requirements require support for these applications.

    • Solid MS Office (Excel - Advanced, Access, Word, PowerPoint).

    • Deep understanding of data mining and segmentation techniques: decision trees, logistic regression, neural networks, hierarchical clustering, partitioning clustering.

    Responsabilitati

    For our client, a well-known leader in the telecommunication systems, we are looking for a Data Miner.

    Responsibilities:

    • Providing support for business decisions and implementation of Customer Value Management strategy by delivering analyzes and insights (models of propensity, segmentation, complex analyzes, profiles, analyzes of direct marketing actions).

    • Identifying business opportunities together with senior team members and product managers based on collected insight.

    • Developing detailed analyzes of business topics to identify their causes, motives and meaning.

    • Developing customer base and direct marketing campaigns (campaigns, promotions, offers) to understand customer behavior and business impact.

    • Providing recommendations based on insights from analyzes, proactively identifies opportunities to improve / initiate direct marketing actions.

    • Assisting the data mining manager in developing the structure / analytical framework and strategies to achieve business goals

    • Developing up-sell, cross-sell, acquisition, retention, cost-to-mobile and profitability models by identifying, building and implementing analytical projects using advanced statistics and modeling techniques.

    • Cross-functional project: is responsible for managing the implementation and monitoring of the Universal Control Group and for proposing the necessary actions to ensure its quality.

    • Collects and integrates qualitative and quantitative feedback into analysis development.

    • Define the objectives and requirements for data extraction and analytical aggregates.

    • Develop ad-hoc analysis and analytical reports to support the needs of Base Management.

    • Identify areas where statistical analysis & modeling can add value.

    • Ensure re-use of scriptures / procedures developed to allow faster provisioning of information.

    • Develop, document, and facilitate the transfer of scoring scraps to data specialists.