oracle aide

March 31, 2015

What I learned today: Digital Taylorism and Holacracy

Filed under: Uncategorized — oracleaide @ 11:19 pm

http://www.theagileelephant.com/the-emerging-risk-of-digital-taylorism/

there is increasing evidence that “new forms of bureaucratic control and repetitive tasks have been extended to the information sector”- or Digital Taylorism

Or there is this view – there is a high road and a low road that will be followed:

The high road variant can also be associated with the high-trust, high performance firm. Its main features are: decentralisation, creation of comprehensive tasks, establishment of work groups, promotion of competence development and sharing of knowledge as well as interdepartmental co-operation and integrated product development.

The low road type strive to achieve competitiveness through cost-cutting, which among other things expresses itself in staff reduction or outsourcing. For the internal organisation of work this mode means: organisation of work processes according to value creation aspects, acceleration of the processes through the grouping of individual work tasks and activities into business processes, intensification of work, and a tendency to divide staff into a highly qualified core and a low-qualified periphery that are employed to balance out capacity fluctuations.

The starkest portrait of Work to Come is this one – that the future of work, for many people, will be them strapped to an automated digital workflow, continuously prodded and monitored while doing the tasks that machines cannot yet do well or cheaply enough.

https://hbr.org/2014/11/flat-organizations-like-zappos-need-pockets-of-privacy

It’s actually not a new idea. As an employee at one of Hsieh’s Las Vegas start-ups pointed out to me during a visit, 18thcentury Caribbean pirates created some of the flattest organizational structures in history — long before the theorists Rensis Likert and Stanley Udy touched on such notions in their foundational works in the 1950s and 1960s. The pirates democratically elected captains and other officers (and had the ability to depose them at any time), shared treasure equally, had extensive welfare plans for injured colleagues, and wrote their own constitutions (“ships’ articles”) to permit people from diverse nationalities, races, and religions to collaborate successfully. Their “circles” were vessel teams. Though members came and went, what happened in one crew stayed with that crew. Transparency was limited to those on the vessel at any given time.

This system existed across nearly all the pirate vessels. Holacracy isn’t that common in today’s organizations, but it’s gaining traction, which makes sense. In an age of transparency, people will grab whatever bits of privacy they can find to experiment without retribution. This is an approach that allows organizations to adaptively support them rather than thwart their efforts.

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March 5, 2015

Amazon is looking for Data Engineers

Filed under: Uncategorized — oracleaide @ 6:59 pm

Senior Data Engineer – Featured Merchant Algorithm

Amazon’s planet-scale Retail platform has created the largest marketplace in human history. Affording customers unprecedented product selection and merchants access to a global market, our team leverages sophisticated machine learning and big data technologies to allow customers to discover the right product at the right price from the most trusted merchant billions of times every day. We enable over 90% of all purchases on Amazon by choosing which offer wins the Detail Page Buy Box and our service directly impacts the business metrics of every Amazon channel (Retail, FBA and Marketplace) worldwide. If you’re looking for a career-defining opportunity on one of the most visible teams within Amazon, we’d love to hear from you.

Our success depends on our ability to manage and analyze the data that our customers generate. We are looking for an outstanding engineer with a great business sense who has the ability to analyze and understand large amounts of data and help make data-driven key strategic decisions that will drive several customer focused initiatives. Working with our science, engineering and multiple business teams, you will have the opportunity to impact customer experience, design, architecture, and implementation of multiple customer friendly features on Amazon.

In this position, you will be working in one of the world’s largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights. In this role, you will have ownership of end-to-end development of solutions to complex questions, and you’ll play an integral role in strategic decision-making.

The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to build analyses to answer those questions. You will have regular interactions and will present to senior leaders in Amazon

Basic Qualifications

  • Bachelor’s or Master’s degree in Computer Science Mathematics, Statistics, Finance or related technical field.
  • 4+ years of relevant employment experience.
  • Knowledge and direct experience using at least one industry standard business intelligence reporting tool.
  • Experience in gathering requirements and formulating business metrics for reporting.
  • Excellent knowledge of Oracle SQL and Excel.
  • Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets.
  • Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.

Preferred Qualifications

  • Previous E-Commerce Experience
  • Preferred Experience managing scorecards, metrics dashboards

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