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Descripción De La Posición

Job Description

A data analytics professional is someone who thrives in a team setting where you can solve business problems and deliver solutions with data, analytics, machine learning and creativity. You specialize in data analytics tools and about helping business clients scale data into value. You can take on the strategic responsibility and acts as the enabler for design, develop, implement, and improve data analytics to tell stories and optimize business performance. You’re passionate about digital technology and you take the pride in making tangible difference

Responsibilites:

  • Partner with stakeholders across all Corporate Functions to advise, create, and deploy end-to-end analytics solutions, enabling business reporting automation and innovation 

  • Understand business challenges and provide conceptual design, develop and deliver analytics solutions

  • Describe business requirement, interpret business data requirements successfully into analytics use cases

  • Use data engineering methodologies to design data model, utilizing analytics visualization tools (Qlik, Power BI) to help organization teams produce descriptive analytics to meet business needs by loading, managing, sorting and filtering data as well as extracting meaningful and insightful value from it

  • Prototype, scale & develop innovative predictive analytics solutions using applied intelligence (AI)/machine learning (ML) to optimize business performance across functions

  • Stay abreast of AI/ML technologies, academic researches & hands-on techniques

  • Manage stakeholder expectations through effective communication and people skills, and make appropriate escalations where needed

Requisitos

Job Qualifications

Basic Qualifications: 

  • College degree or above in computer science, statistics or analytics related subject.

  • Minimum 2 years of experience in reporting and analytics project delivery.

Preferred Qualifications: 

  • Prior experience in data visualization (e.g. PowerBI, Qlikview), data science (R, Python), and Cloud - preferably Google Cloud Platform

Professional Skill Requirements: 

  • Proven data analytical problem-solving skills and interpretation

  • Experiences in data science technologies (e.g. Python, R) and data visualization tools (e.g. Power BI, Qlik)

  • Experience of developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning

  • Storytelling skills with data and communicating findings to a non-technical audience, experience in UI/UX design/ design thinking methodology and prototyping tools (e.g. Adobe XD) will be an asset

  • Experience working on cloud platform such as GCP and knowledge of data queries – Big Query, Dataflow, Pub/Sub will be an asset

  • Experience in Agile project management, including requirements gathering, testing, deployment and post go-live incident management using standard methodology

  • Strong communication and negotiation, ability to collaborate with virtual teams

  • Flexibility in scheduling to accommodate the different time zones, ability to work collaboratively with diverse remote teams

  • Ability to work with Executive Leadership and deliver under tight timelines, sense of prioritization

  • Demonstrated leadership, teamwork and collaboration in professional setting; either military or civilian

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