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



  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics or relevant disciplines
  • 10 years of experience in a monitoring, managing, manipulating and drawing insights from data, and at least 3 years of experience leading a team
  • Being proficient and experienced with the following tools/programs:
    • Strong programming skills with querying languages
    • Experience with big data tools
    • Experience with data visualization tools
    • Experience with analytics tools
    • C, C++, JAVA, or other programming languages
    • Experience with Excel, Word, and PowerPoint
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units
  • Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
  • Strong problem solving, quantitative and analytical abilities
  • Strong ability to plan and manage numerous processes, people and projects simultaneously
  • Excellent communication, collaboration and delegation skills
  • Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment
  • Ability to work with and influence peers and management 
  • Self-motivated with critical attention to detail, deadlines and reporting
  • Advanced level in both written and spoken English
  • No restrictions to travel
  • No military obligation for male candidates

Job Description:

  • Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Determine the vision and roadmap for the data and analytics technology infrastructure that ensures reliable delivery of high-quality data and insight
  • Manage and support implementation of a three tier BI footprint focusing on providing Operational analytics, Predictive Analytics and Advance analytics (such as Statistical modeling, Big Data, Real Time or Semi-Real Time, Structured / Unstructured analysis capability
  • Develop and apply advanced analytics for organizational strategy and targeting and predictive modeling
  • Manage and mine data to detect patterns, opportunities and insights that drive organizational strategies
  • Manage, build, validate, and deploy predictive algorithms across all areas of the organization, utilizing data from various sources
  • Coordinate closely with colleagues across all departments to refine data needs and provide options for data science work
  • Engage in both exploratory data analyses to identify trends and predictive data analysis to solve problems
  • Manage the creation of  visualizations to identify and communicate outcomes to stakeholders
  • Implement Data Quality and Governance practices so quality data can be utilized across company