Nasıl hesaplanır?
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Son iş deneyimin, geçmiş deneyimlerin ve toplam deneyimin uygunluk puanını etkileyen kriterler arasındadır.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Mesleki Yeterlilikler
Şirketlerin ilanda belirlediği kriterlerle özgeçmişindeki bilgilerin ne kadar uyumlu olduğu içerik karşılaştırılmasıyla bulunur.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Diğer Bilgiler

GENEL NİTELİKLER VE İŞ TANIMI

We are looking for a 'Data Analyst' for Borusan Machine and Power Systems.

·         Bachelor’s degree in Computer Science, Economics, Statistics, Mathematics, Industrial or Business Engineering departments of leading universities,

·         Minimum 3 years of related job experience.

·         Experienced in big data analytics, statistics, predictive modeling, customer behavior analytics, demand forecasting, optimization algorithms,

·         Proficiency in at least one of the statistical packages, i.e. SPSS, SAS, R, 

.         Experienced in Phyton data analysis libraries,

·         Strong knowledge of database management systems like SQL and big data frameworks,

·         Experience in testing hypotheses from raw data sets, drawing meaningful conclusions, and effectively communicating results,

·         Ability to work with cross functional teams to translate business issues into potential analytics solutions,

·         Good command of English,

·         Strong and effective communication, presentation and visualization skills,


JOB DESCRIPTION

·         Responsible for turning big data into actionable insights,

·         Develop and carry out projects that enhance internal user experiences, operational performance, strategic decision making through big data analytics and predictive models,

·         Prepare pre and post analyses on operations, campaigns and projects guiding senior management and business owners,

·         Integrate data analytics and modeling solutions into daily business operations and ensure effective utilization of such tools, taking account of user needs, technology and operational landscape,

·         Ensure maintenance and top performance of implemented analytic solutions, tools, models and implement solutions to sustain quality of data,

·         Identify new analytics trends and opportunities to drive the digital transformation and innovation agenda across business functions,

·         Be recognized as an expert, mentoring and advising colleagues on value generation through statistical techniques, algorithms and data sources,

·         Work in a multi-disciplined environment.

Aday Kriterleri

Pozisyon Bilgileri