Data Analyst
Taguig, National Capital Region, Philippines
2d ago

Duties and Responsibilities :

  • Learn the existing client data architecture, add new sustainable datasets to the ecosystem using APIs and SQL based on business specifications.
  • Support database administration, ensuring automation and BAU production. · Leverage SQL, database knowledge and meticulous attention to detail to QA, troubleshoot and fix data production issues with the business
  • Relentlessly pursue data quality and standardization with a focus on exceeding all client and partner expectations, building relationships with the business.
  • Understand data visualization and build visuals to tell stories with data.
  • Communicate with users at all skill levels and management levels, understanding technology needs, database needs and business needs with the ability to translate to API and database actions.
  • Have the ability to pivot and change priorities very quickly, reacting and adapting to digital platform changes and ensuring data flows properly pre+post updates and social requirements.
  • Involve in cloud (AWS & Azure) research, develop proof of concepts and provide suggestions for cloud architecture development
  • Support practices and procedures of existing AWS infrastructure
  • Required Skills

    Required Skills and Experience :

  • Knowledge and experience with two or more of the following :
  • Databases Management
  • Data modelling
  • Database architecture
  • ETL Processing
  • Experience with one or more of the following :
  • SPSS
  • Applied Statistics
  • API Connections and Querying
  • Business Intelligence Platforms (Tableau, DOMO, Birst, Microsoft Power BI)
  • Social Analytics (Facebook Insights, Facebook Ads, Twitter Analytics, Twitter Ads)
  • Social Listening (Crimson Hexagon, Brandwatch, Sysomos)
  • Web Analytics (SiteCatalyst, Google Analytics, Omniture, WebTrends)
  • Digital media analytics (Doubleclick, Atlas)
  • Cloud technologies (AWS or Azure or GCP)
  • Cloud computing concepts (IaaS, PaaS, SaaS)
  • Strong attention to detail, analytical skills and data integrity with solid foundation in statistical techniques
  • Sense of urgency and large desire to satisfy partners and clients
  • B.A. in Statistics, Mathematics, Computer Science, Economics or a quantitative degree in another social science
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