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
Qualifications: 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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