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Business Analyst
Acest job nu mai este activ!Vezi toate job-urile Prohuman active.Vezi toate job-urile Business Analyst active pe Hipo.roVezi toate job-urile in Customer support - Client service active pe Hipo.roVezi toate job-urile in IT Software active pe Hipo.roVezi toate job-urile in Management - Consultanta active pe Hipo.ro |
Angajator: | Prohuman |
Domeniu: |
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Tip job: | full-time |
Nivel job: | 1 - 5 ani experienta |
Orase: |
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Actualizat la: | 15.07.2021 |
Remote work: | On-site |
With over 25 years of experience on the Romanian HR market, PROHUMAN APT (former APT Resources & Services) is the one of the biggest players in the industry, a force concentration evenly deployed across different specialties. Having approximate 4000 employees (mostly higher educated) in BPO and temporary work assignments, as of 2021, PROHUMAN APT ranks in the Top 3 HR providers in Romania.
Cerinte
• Understanding of how to manage disparate unstructured and structured data in a distributed environment.
Ability to create advanced analytics models to pull valuable insights from data
• Create stories and visualizations to describe and communicate data insights.
• Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice. Experience developing and implementing machine learning techniques in real time (e.g. API, PMML, Java, C, RPMML).
• Advanced hands on experience in Statistical Software (e.g. SAS, R, Python) and big data environments (e.g. cloud (e.g. AWS, Azure), and on-prem (e.g. Hadoop).
• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Works with the business to understand the business domain perspective.
• Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.
• Assures accuracy, integrity, and compliance of cleansed data.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Leads a project team of data science professionals
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.
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