Snr. Business Data Analyst

Metro Manila

JOB REQUIREMENTS:

  • Candidate must possess at least a Bachelor’s/College Degree in Mathematics, Economics, Information, Computer, and Technology or equivalent 
  • With 5-10 years of working experience in data science, data analytics, or quantitative analysis 
  • At least 5 years of working experience with data gathering and preparation for ML models 
  • Understanding of machine-learning algorithms and operations research 
  • Technical knowledge on data mining and end-to-end process of data modeling 
  • Proficient in utilizing R/Python and SQL to extract, manipulate, and analyze datasets 
  • Experience building data infrastructure and implementing reporting solutions 
  • Experience with Tableau, Power BI, Mode analytics, Looker, or other data visualization tools 
  • Experience developing and deploying ML solutions in a public cloud such as Azure, AWS, or Google Cloud Platform 
  • Knowledge of business concepts and processes such as opportunity management, value chain, Logistics, forecasting, marketing programs, pricing, sales/marketing cycle & funnel 
  • Experience in the agricultural and/or healthcare industry is a preferred 
  • Experience in retail and/or wholesale business models is a plus 
  • Excellent written and verbal communication skills as well as presentation skills 
  • With a track record of proven ability to communicate complex technical topics to technical as well as non-technical people 
  • Ability to manage multiple projects at once and re-prioritize quickly is a must 
  • Ability to operate with a high level of professionalism and maturity with less supervision 

OTHER KEY CONSIDERATIONS:

  • Must be highly organized and able to work in a fast-paced environment 
  • Must be able & willing to learn new tools, software, and processes 
  • Must be able to take direction, listen to the needs of business managers, and interpret their needs into technical instructions 
  • Must be effective working on teams, within, and outside of function 

DUTIES AND RESPONSIBILITIES:

  • Conduct research and development in cutting-edge areas of Machine Learning, Deep Learning, and Computer Vision, including Object Detection, Object Recognition, Image Document Classification, and many more that can be applied to product development 
  • Implement state-of-the-art Machine Learning, Deep Learning, and Computer Vision algorithms that run on embedded devices, applications, servers, and cloud 
  • Assist in the Proof of Concept (POC) and create data solutions. 
  • Design and prototype solutions in response to critical market needs to be defined by product management and top management 
  • Extract, transform, and analyze data using statistical techniques that will help the organization make business decisions based on data 
  • Develop/Create and implement data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality 
  • Identify, analyze, and interpret trends or patterns in complex data sets 
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 
  • Perform data analysis that provides a platform for decision-making on a variety of business issues Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and guide applicable next steps 
  • Understand the needs and priorities of the organization to create detailed models 
  • Conduct/Run statistical analyses to extract actionable insights that influence, support, and assist in product decisions and launches 
  • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions 

Application


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