Data Analyst – Loyalty

🕒 il y a 2 mois

🇧🇷 Brésil – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 27%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Keyrus

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1996

🤝 B2B

💼 Conseil

B2B • Data Analytics • Consulting

Créateur de valeur à l'ère des données et du digital

Description

• Act as and innovate as an internal analytics consultancy and data ambassador within the CRM team and Marketing leadership, using technical data analysis skills and business knowledge to drive discussions about customer behavior and provide recommendations • Lead the definition and consolidation of measurement models for loyalty initiatives, establishing methodologies, assumptions and governance for strategic KPIs • Develop and evolve uplift/incremental evaluation models for cashback strategies, benefits and loyalty incentives • Ensure consistency of the program’s performance indicators, supporting the creation of a single view of results for business stakeholders • Serve as an analytics consultant to Marketing, CRM and Loyalty teams, turning data into actionable recommendations • Produce analyses that support decisions regarding the expansion, optimization or review of customer benefits • Conduct studies on behavior and the evolution of the customer base participating in the loyalty program, identifying impacts on retention, purchase frequency, average order value (AOV) and customer lifetime value (CLV) • Support the transition of the loyalty initiative to a continuous operational model, ensuring that measurement models are documented, scalable and governed

🎯 Exigences

• Experience in data analysis applied to solving business problems • Knowledge of impact measurement methodologies and incremental analysis • Experience designing and interpreting A/B tests, control groups and hypothesis testing • Knowledge of statistics applied to decision-making • Experience with SQL for manipulating and exploring large volumes of data • Programming in Python for data analysis and analytical modeling • Ability to translate complex analyses into executive recommendations through data storytelling • Experience building metrics, KPIs and performance tracking frameworks

🏖️ Avantages

• Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science or related fields • Experience with PySpark programming and Databricks • Knowledge of agile methodologies for project/operations management