Sr Data Analyst
Honeywell
San Luis Potosi, SAN LUIS POTOSI, Mexico
hace 5 días

Join a team recognized for leadership, innovation and diversity

Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, and design thinking.

You will lead change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services.

You will Be responsible for the development and maintenance of the database infrastructure needed for successful analytic processing.

You will ensure that there is optimal use of technology to meet business requirements.

Key Responsibilities

  • Database infrastructure design
  • Data modeling
  • Technical analytic work
  • Manages database performance
  • Database systems support
  • Enterprise reporting solutions
  • Project output communication
  • Technology upgrade oversight
  • Data science methods promotion
  • Cross team collaboration
  • YOU MUST HAVE

  • Bachelor’s degree
  • 3+ years of creating and providing business operational and analytical reporting
  • 3+ years of translating business reporting requirements to data need
  • Experience with data visualization software (Tableau, Spot fire, Qlikview, d3.js)
  • English proficiency
  • WE VALUE

  • 2+ years of project management lead or support experiences
  • Some experience with SQL, .Net Applications or other programming languages
  • Experience with SSIS and general administrative data experience
  • Experience with the techniques of CQI / TQM and statistical process control methodology
  • Understanding of best-in-class model and data configuration and development processes
  • Experience with Agile Scrum methodology
  • Strong understanding of relational databases
  • Conveys specific, observable, and / or measurable expectations for each assignment, and verifies understanding and agreement on deliverables and timeframes
  • Consistently makes timely decisions even in the face of complexity, balancing systematic analysis with decisiveness
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