11 часов назад
Data Science Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Analyst (SQL/Python/R): Performing data analysis across growth revenue management, marketing, customer lifecycle, and risk analytics with an accent on statistical analysis, hypothesis development, and actionable recommendations. Focus on analyzing complex datasets, communicating insights to executives, and facilitating workshops with senior stakeholders.
Location: Amsterdam, Netherlands
Company
Adaptfy is a data and analytics joint venture formed by and SHV, delivering advanced analytics solutions across SHV Group companies and international markets.
What you will do
- Perform data analysis in growth revenue management, marketing analytics, customer lifecycle and CRM analytics, and/or risk analytics.
- Work with analytical tools including SAS, SPSS, EViews, R, Python, SQL, TerADATA, Hadoop, Access, and Excel.
- Decompose business problems, develop hypotheses, and create actionable recommendations from data.
- Communicate analytical findings through compelling presentations and facilitate workshops.
- Manage stakeholders, communicate with executives, and coach and mentor team members.
Requirements
- 1–3 years of professional experience in analytics.
- Advanced degree in a quantitative field such as engineering or mathematics.
- Strong analytical thinking, problem decomposition, hypothesis development, and recommendation-building skills.
- Strong knowledge of data analysis, statistics, and programming, including working knowledge of SQL, Python, R, and/or MATLAB.
- Ability to communicate using the language of statistics, finance, and economics.
- Profound knowledge of English.
Culture & Benefits
- Regular interaction with senior stakeholders at client organizations.
- Opportunity to work across the full data lifecycle, from acquisition and exploration to cleaning, integration, analysis, interpretation, and visualization.
- Fast-growing, international, and diverse working environment.
- Culture focused on curiosity, collaboration, diversity, equity, inclusion, and belonging.
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