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
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