Kobie ir globāls lojalitātes risinājumu uzņēmums, kas palīdz lieliem zīmoliem pārvērst klientu datus spēcīgākās un labāk izmērāmās attiecībās ar klientiem. Uzņēmuma darbs apvieno lojalitātes stratēģiju, stratēģiskos pakalpojumus, kombinējamu tehnoloģiju, cilvēka vadītu mākslīgo intelektu un Kobie Alchemy® Loyalty Cloud platformu, lai izstrādātu, īstenotu un novērtētu klientu lojalitātes pieredzi. Kobie apkalpo organizācijas mazumtirdzniecības, ceļojumu un viesmīlības, finanšu pakalpojumu, izklaides, ātrās apkalpošanas restorānu un telekomunikāciju nozarēs, un tās kompetence ietver konsultācijas, viesmīlības pakalpojumus un loģistiku.
Decision Science Analyst
Analyze customer loyalty data for Kobie’s enterprise clients, creating dashboards, segmentation models, and recommendations to improve marketing returns and customer value.
Apraksts
- Generate actionable customer insights to support sales and profit growth through clients’ loyalty programs.
- Partner with Strategy and Client Services to align work with client goals and deliver results.
- Build and maintain audience lists for CRM campaigns and engagement goals.
- Turn complex data into recommendations grounded in client strategy, success measures, and program objectives.
- Create data visualizations and explainers for internal and external audiences.
- Work with Data Engineering and Business Intelligence to develop tools, models, and data sources.
- Design learning agendas, test plans, and solutions to increase incremental return on investment and customer lifetime value.
- Coordinate workflow, project scope, and priorities across client requests and company investments.
- Advise clients on the strategic direction of their loyalty initiatives.
- Build real-time dashboards for internal and external stakeholders.
Prasības
- At least 2–4 years of relevant customer analytics, marketing, or CRM experience.
- Ability to communicate insights and recommendations through compelling data stories and influence senior stakeholders.
- Familiarity with data exploration and visualization tools such as Tableau, Power BI, or Sigma.
- Demonstrated success applying customer segmentation methods, including RFM, cluster analysis, and regression modeling, to targeted marketing.
- Strong project management skills and experience handling multiple projects at once.
- Bachelor’s degree in Statistics, Marketing, Economics, or Computer Science.
- Python and SQL programming experience preferred.
- A master’s degree in Statistics, Economics, or Applied Mathematics, or an MBA, preferred.
- Knowledge of core marketing and customer loyalty principles preferred.
- Ability and willingness to travel as needed for the role.
Priekšrocības
- Flexible time off for recharging.
- Nine company-wide holidays.
- A broad benefits package focused on professional growth, development, and personal well-being.
- Flexible work environment.
- Remote work.
- Supportive, innovative, collaborative, growth-oriented culture.