Assistant Manager, Big Data Innovator

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PLUS

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Job Summary


Job Type
-

Seniority
Manager

Years of Experience
Information not provided

Tech Stacks
Python SQL MODE R Analytics Periscope Strategy

Job Description

Key Responsibilities: -

Big Data Modeler

  • Collect, clean, prepare and align data from all sources and channels to ensure validity and usability of data to support the development of business ideas and solutions.
  • Lead in data strategist, identifying and integrating new datasets that can be leveraged through our business needs and work closely with the data architect team to strategize and execute the development of data products – single source of truth for customer view.
  • Research and devise innovative statistical models for data analysis to assist business owner in making decision based on specific business problem.
  • Mine and analyze data to drive optimization and improvement of product development, marketing techniques, business strategies using relevant modeling techniques such as predictive/propensity modeling, segmentation, sentiment analysis, text mining, video analytics etc.
  • Devise and develop custom data models and algorithms to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.


Big Data Business/Value Realization

  • Ability to lead and manage the implementation of data commercialization’s plan, program and activities to gain valid and valuable insights to support business need. For example, leading new business model or offerings for PLUS customers such as on-demand insurance, IOT services etc.
  • Perform end-to-end analysis to address key business questions including but not limited to identify travelling pattern of road users to discover suitable place and spaces for billboard advertising and new market opportunities.
  • Extract and transform both structured and unstructured data from various sources to generate features in deriving customer’s insight based on the customer’s behavior and preference to improve and develop new commercial products and services.
  • Manage and guide key internal stakeholders to deliver the valuable insights form the analysis also provide recommendations and real-time solution for commercial issues.
  • Develop and prepare reports and updates on key commercial data such as customer


Agile Team

  • Ability to work in agile mode and flexible to pivot to new business model as required to be aligned with organization’s goals and value all the time.
  • Provide support and alignment to Customer Ecosystem, Partnership Ecosystem and Digital Payment functions towards achieving both division and organization’s goals.
  • Undertake a maximum of one (1) Value Creation Lead (VCL) of high complexity workstreams together with two (2) Business Architect (BA)/Big Data Analyst (BDA) or four (4) Business Architect (BA)/Big Data Analyst (BDA).
  • VCL is the workstream champion and accountable to the overall success and KPIs set including but not limited to strategizing the best possible plan to optimize value creation.
  • BA contextualizes strategy for operational needs, develops business capability maps to help bridge the gap between strategy, execution & tech enablement


Requirements: -

  • Degree in Business, actuarial science, science computer or any relevant field.
  • 5-6 years of experience preferably in manipulating data sets and building statistical models, has a background in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software/tools such as GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, propensity modelling, clustering/segmentation etc.
  • Experience querying databases and using statistical computer languages such as R, Python, SQL, etc.
  • Experience creating and using advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers such as Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience visualizing/presenting data for stakeholders using such as Power BI, Periscope, Business Objects, etc.

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