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Data Warehouse/Business Intelligence Developer

Job Description

Samasource provides sustainable pathways out of poverty to
underprivileged youth throughout Africa and Asia. We're an
award-winning nonprofit that works with major Silicon Valley companies
to provide dignified online work across Kenya, Uganda, Haiti and
India.

Our online platform receives 2 million work submissions each
month. We’re based in San Francisco, but happy to consider remote
applicants. We're looking for a 6 month contract to design and
implement a data warehouse for key stake holders to pull reports from
our platform.


Our platform is built on Ruby/Rails 4.2, with Postgres and Redis
sharing data duties. Our code is tested with RSpec/Capybara/Jasmine,
continuously integrated via CircleCI, and run on Heroku. AngularJS
takes care of our JavaScript needs. We collaborate through GitHub,
allocate work through Pivotal Tracker, swat bugs with JIRA & bounce
ideas in Slack.

The Data Warehouse/Business Intelligence developer will design and
implement a database structure and define tools needed for a business
intelligence infrastructure. Additional duties of this role are as
follows:

  • Work with the data architect to ensure that logical and physical data
  • models support the analytical needs of the business.
  • Develop a practical roadmap for an enterprise wide BI reporting and
  • analytics platform.
  • Collaborate directly with business units to define requirements and support.
  • Business initiatives and projects relating to dashboards,
  • reports, and visualizations.
  • Design and build ETL processes.
  • Develop reporting solutions as needed.
  • Analyzing existing enterprise data warehouse structures to determine
  • relevance to business needs.
  • Ensure effective communication of user requirements.


Qualifications

  • Minimum of five years of experience or the equivalent knowledge and data warehouse seeing/business intelligence domains.
  • Strength in PostgreSQL, advanced reporting, stored
  • procedures, and data modeling/architecture.
  • Demonstrated data analysis skills, expertise and integration tools.
  • Working knowledge of interfaces and APIs.
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