DATA ANALYST | Predictive Analytics Decision Management
# DATA ANALYST | Predictive Analytics Decision Management **Siegen HR Solutions, Inc.** · Philippines · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Analyst]` `[Data-Scientist]` `[Business-Analyst]` `[Predictive-Analyst]` `[Quantitative-Analyst]` `[Decision-Analyst]` `[Data-Analytics-Professional]` `[Decision-Analytics]` --- ### About the Role KEY RESPONSIBILITIES: - Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies - Develop appropriate methodology for analyzing and interpreting results from product features A/B testing - Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis - Provide data, insights and reporting support to various teams - Drive the collection of new data and the refinement of existing data sources - Prepare data for statistical analysis and machine learning algorithms - Maintain and advance analytic database. Conduct periodic data QA - Working with technical and non-technical customers to design experiments and communicate statistical results - Leading training and informational sessions on statistics - Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business TO QUALIFY: - Master’s Degree or PhD in a relevant technical field such as Statistics, Math and Computer Science, Mathematics, Economics and Analytics with 7+ years’ experience in a relevant Data Scientist role post-graduation - Extensive experience solving business problems using quantitative approaches - Comfort with extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources - Strong passion for data driven research for answering hard questions with data - Early adopters of new tools, technologies, etc. - Decent understanding of business - Structured problem-solving skills to translate problems into solutions - Flexible analytic approach that allows for results at varying levels of precision - Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner - Familiarity with relational databases and intermediate+ level knowledge of SQL - Expert knowledge of R; Experience with other analytic tools such as Looker – a strong plus - Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) - Problem-solving and analytical abilities - Proficiency in any of the statistical software such as R, S-plus, SAS, STATA, python programming etc. - Good verbal and written communication skills and an ability to work in a team environment - A solid grounding in applied statistics including expertise in at least one of the following is a must: - Reliability models - Markov Models - Stochastic models - Bayesian modeling - Classification models - Cluster analysis - Neural network - Non-parametric methods - Time series analysis - Forecasting - Multivariate statistics - Experience in building and deploying business relevant analytics assets - Experience in real time analytics asset development & deployment - Experience in Applied Machine learning is an added advantage - Experience in any of the domains: - Retail - Consumer Products Marketing - Network - Supply Chain - F&A - Procurement - Life Science - eCommerce - Banking Finance - Health Care - Human Resources - Digital Marketing Originally posted on Himalayas
- Data-Analyst
- Data-Scientist
- Business-Analyst
- Predictive-Analyst
- Quantitative-Analyst
- Decision-Analyst
- Data-Analytics-Professional
- Decision-Analytics
Наблюдалась 2026-10-04, впервые 2026-10-04, источник — Himalayas (JSON API).