analytics specialist

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job details

posted
location
beşiktaş, istanbul (europe)
sector
Other
reference number
4873

job description

We are looking for an Analytics Specialist for our client in food industry

The Analytics Specialist will be responsible for supporting the Marketing and Product teams with reporting and analysis. This position will also work with the IT team to ensure accurate tracking and reporting on web/marketing activities, and will be instrumental in developing and delivering actionable report and analysis to support better decision making.



Implement analytics/optimization tools working with IT,

testing, QA and debugging existing web and app Analytics implementations,



Analyze results and get insights to identify successes, failures, trends and effectively communicate these findings to stakeholders,



Plan / setup / conduct / analyze new A/B testing variations,

Using tag management system to integrate third party tools and building custom solutions,



Prepare and distribute ad-hoc and weekly and monthly reports / dashboards,



Build/maintain reports, dashboards, and metrics to monitor the performance of our products,



Track and analyze analytics data and get meaningful insights,



Support and train internal users of web analytics tools.

qualification

Apply their expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products,



Previous experience as a Data Analytics role and working with tracking technologies (Google Analytics, Adobe Analytics (Omniture) etc.),



Experienced in making tagging plans, measure plans, KPI’s and knowing how to measure everything the best possible way and report the outcomes,



Familiar with A/B testing and conversion optimization tools (Optimizely),



Passionate for digital trends and aware of global best practices in industry,



Results-oriented with strong planning and organizational skills,



Project management skills and ability to manage multiple priorities,



Excellent MS Office skills,



Advance verbal and written communication skills in English,

R or Pyhton skills to analyze data and build statistical algorithms,



SQL, BigQuery skills,



Understand development languages such as Javascript, Swift, Java etc.
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