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group marketing data scientist.

pozíció részletei

összegzés

    pozíció részletei
    Cégleírás / Organisation/Department

    Our Client is a market leading company, which deals with insurances. This company was the first firm, who dealt with insurances, and they would like to find the best Data Scientists.

    Pozíció leírása / Job description
    • Build and maintain a centralised marketing data warehouse across BUs and regions as the platform for all future analysis.Work with country marketing and IT teams to implement best practice (ie. UTM tracking codes) and unify marketing data approach across countries where feasible.
    • Pull standardised reports from each advertising platform (ie. Google Ads, Facebook and Seznam) using a preferred 3 rd party tool such as Fivetran, Adverity or Funnel.io (or manage a 3 rd party to do so).
    • Store data in a Datawarehouse platform and manage appropriate levels of access for all stakeholders.
    • Establish data aggregation and “cleaning” logic to enable comparison of core performance metrics across marketing channels for different countries, BUs.
    • Build and own all attribution and marketing mix models (included Tech stack component) used to measure performance between offline, direct marketing channels and core business KPIs such as contracts and commission.
    • Ensure that marketing model(s) are in line with industry best practice and suitable for Client's needs.
    • Educate stakeholders on the objectives, strengths and weaknesses of different types of measurement model (ie. Marketing mix model vs. attribution model vs. A/B testing).
    • Recommend A/B tests and experiments, and manage Analytics testing queue based on broader company goals and strategy.
    • Work with local marketing teams to provide tools for better decision making.
    • Use predictive analytics and machine learning – such as clustering, regression, classification, time series and deep learning – to solve complex problems and drive business decisions as part of ongoing push to embed data into marketing decision making.
    Elvárások / Requirements
    • 3+ years’ experience in data analytics within the marketing field with at least 3 years of relevant work experience in quantitative modelling
    • Experience working within a data warehouse environment with considerable SQL expertise.
    • 2+ years’ experience using a programming language such as Python or R in a business context
    • Knowledgeable in marketing-mix modelling, advanced attribution modelling based on econometrics, ROI modelling, and modelling value and business cases
    • Superior problem solving and decision-making capabilities
    • Ability to fluently communicate in an English business environment
    • Understanding sales of financial products is a plus
          - Working across countries is a plus

                 - Experience with modelling performance and ATL/TV media spend                 is a big plus

    Amit kínálunk / Offer

    Design, build and maintain a centralised marketing data warehouse across all ad platforms and countries.
    In 2-3 years manage and optimize marketing budgets for online aggregation across 5 countries including ATL and performance marketing.
    Serve as subject matter expert for all countries of Client's on marketing analytics, advocating for data-driven decision making, and demonstrating an “Analytics Throughout” marketing mentality through the usage of analytical models to drive effectiveness at every stage of marketing (planning,
    execution, post-mortem); Building and helping deploy the Firm's playbooks.

    Kapcsolattartó / Information

    Rác Ildikó

    ildiko.rac@randstad.hu

    Cégleírás / Organisation/Department

    Our Client is a market leading company, which deals with insurances. This company was the first firm, who dealt with insurances, and they would like to find the best Data Scientists.

    Pozíció leírása / Job description
    • Build and maintain a centralised marketing data warehouse across BUs and regions as the platform for all future analysis.Work with country marketing and IT teams to implement best practice (ie. UTM tracking codes) and unify marketing data approach across countries where feasible.
    • Pull standardised reports from each advertising platform (ie. Google Ads, Facebook and Seznam) using a preferred 3 rd party tool such as Fivetran, Adverity or Funnel.io (or manage a 3 rd party to do so).
    • Store data in a Datawarehouse platform and manage appropriate levels of access for all stakeholders.
    • Establish data aggregation and “cleaning” logic to enable comparison of core performance metrics across marketing channels for different countries, BUs.
    • Build and own all attribution and marketing mix models (included Tech stack component) used to measure performance between offline, direct marketing channels and core business KPIs such as contracts and commission.
    • Ensure that marketing model(s) are in line with industry best practice and suitable for Client's needs.
    • Educate stakeholders on the objectives, strengths and weaknesses of different types of measurement model (ie. Marketing mix model vs. attribution model vs. A/B testing).
    • Recommend A/B tests and experiments, and manage Analytics testing queue based on broader company goals and strategy.
    • Work with local marketing teams to provide tools for better decision making.
    • Use predictive analytics and machine learning – such as clustering, regression, classification, time series and deep learning – to solve complex problems and drive business decisions as part of ongoing push to embed data into marketing decision making.
    Elvárások / Requirements
    • 3+ years’ experience in data analytics within the marketing field with at least 3 years of relevant work experience in quantitative modelling
    • Experience working within a data warehouse environment with considerable SQL expertise.
    • 2+ years’ experience using a programming language such as Python or R in a business context
    • Knowledgeable in marketing-mix modelling, advanced attribution modelling based on econometrics, ROI modelling, and modelling value and business cases
    • Superior problem solving and decision-making capabilities
    • Ability to fluently communicate in an English business environment
    • Understanding sales of financial products is a plus
          - Working across countries is a plus

                 - Experience with modelling performance and ATL/TV media spend                 is a big plus

    Amit kínálunk / Offer

    Design, build and maintain a centralised marketing data warehouse across all ad platforms and countries.
    In 2-3 years manage and optimize marketing budgets for online aggregation across 5 countries including ATL and performance marketing.
    Serve as subject matter expert for all countries of Client's on marketing analytics, advocating for data-driven decision making, and demonstrating an “Analytics Throughout” marketing mentality through the usage of analytical models to drive effectiveness at every stage of marketing (planning,
    execution, post-mortem); Building and helping deploy the Firm's playbooks.

    Kapcsolattartó / Information

    Rác Ildikó

    ildiko.rac@randstad.hu