iWeave International, LLC

Data Analyst

iWeave™ is a trademarked and patent-pending mobile application that combines entertainment and m-commerce elements to sell premium hair extensions. Users of the app can take a picture of themselves and virtually try-on various hairstyles. They also have the opportunity to share their photo with their friends via SMS or social media. iWeave™ is distinct in the fact that it is the first hair app that allows consumers to go seamlessly from picture-to-purchase. Consumers will receive their hair directly from the warehouse - effectively eliminating the stores and middleman mark-up. iWeave™ represents a merger between the popularity of quality hair extensions and the growth of m-commerce. The app creates a “virtual storefront” for countless independent hair manufacturers and distributors currently in the market. It also serves as a one-stop-shop for customers to select from multiple suppliers. iWeave™ is poised to be the Amazon™ for hair extensions! The hair revolution has begun, and this time, it’s mobile!

The Role

You Will Be Responsible For

  • Communicating and supporting the use of the data architecture to all stakeholders.
  • Development of data architecture, strategy and governance.
  • Providing secure, stable, scalable and cost-effective solutions to facilitate storage, integration, usage, access, and delivery of data assets across the business.
  • Defining, developing and maintaining reports to support decision making.
  • Processing & Interpreting data to get actionable insights.
  • Working closely with business users to understand their data analysis needs/requirements.

Ideal Profile

  • You possess a degree in Computer Science, Applied Mathematics, Engineering or related field.
  • You have at least 1 year experience, ideally within a Data Analyst or Data Architect role.
  • Ability to conceive the data picture from an organisational perspective, and bridge gap between current state and future goals.
  • Exposure/expertise in one or more of emerging tools like columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.
  • Strong expertise in data modelling & database design.
  • You have good presentation and communication skills and the ability to present you findings clearly and accessibly in the form of reports and presentations to senior colleagues.
  • You are highly goal driven and work well in fast paced environments
  • You enjoy finding creative solutions to problems
  • You are adaptable and thrive in changing environments

What's on Offer?

  • Excellent career development opportunities
  • Flexible working options
  • Opportunity to make a positive impact
  • Seniority level

    Entry level
  • Employment type

    Part-time
  • Job function

    Information Technology
  • Industries

    Information Services

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