QUALIFICATIONS AND JOB DESCRIPTION
How do we describe the perfect fit?
- Bachelor's Degree in Industrial Engineering, Computer Engineering, Mathematics, Statistics, Management Engineering or related departments,
- Able to work min. 4 days in a week,
- SQL knowledge is must
- Design, develop and support business processes using various BI and visualization tools
- Strong knowledge of Microsoft Office Programs
- Excellent verbal and written skills in English
- Following and adopting the market trends and new technologies,
- Outside the box thinking ability,
- Open to innovation culture,
- Flexible and open to new perspectives,
- A great team player with a self initiative mindset,
- Being open to communicationis always our priority.
The position is located in Kadıköy.
How will you foster the change?
We are looking for a Project Assistant who will join our team at CRM & Analysis team.
- Passionate about CRM and Customer Analytics, planning her/his career in this area,
- Experience with customer analytics, web analytics and loyalty management BI process,
- Experience in drawing insights from data about CRM and Web Analytics,
- Working knowledge of data mining principles: predictive analytics, collecting data from multiple data systems on premises and cloud-based data sources,
- Experience with MS Office, SQL
- Familiarity with techniques such as regression, extrapolation, time series analysis, forecasting, statistical hypothesis testing and econometric models,
- Excellent communication, collaboration and project management skills.
- Analyzing data identifying trends and patterns related to guest-customer (CRM) segments, marketing performance, store/web/mobile app analytics and user experience,
- Analyzing and interpreting user segments and behaviors to be leveraged in lifecycle marketing
- Building of business-wide consumer analytics customer-centric dashboards, reports and ad-hoc analysis,
- Ensuring the right customer data is being captured at all points of entry and work with internal/external source system partners,
- Analyzing and forecasting customer journeys with real time customer event scenarios,
- Finding, identifying and deciding the best set of customers for smart campaign targeting,
- Analyzing the results of CRM actions (campaign usage, click rate, conversion rate, cohort etc.),
- Supporting, testing, and monitoring data integrations between e-commerce systems, enterprise applications and the data warehouse,
- Following performance of CRM works.
Arcelik An Equal Opportunity Employer
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