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IT > Data Analyst
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Data Analyst

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💻 IT
💻 IT
Data Analysts typically work for corporations across various industries to help company executives identify process improvement opportunities and discover ways to maximize efficient operations through >KPIs and metrics to measure the success of company initiatives. They also help develop predictive analytics models that inform machine learning algorithms at advanced levels. Additionally, a Data Analyst reviews company databases and external sources to make statistical inferences, complete reports and create presentations based on their findings. Some Data Analysts speak publicly to highlight business growth and relay information regarding initiatives.
¿Qué hace un Data Analyst?
A Data Analyst, or Data Business Analyst, uses their knowledge of data processing software and business development strategies to provide sound business decisions to company executives, clients and stakeholders. Their duties include collaborating with other data professionals to extract data figures, creating reports based on their findings and monitoring key performance indicators (KPIs) to determine business initiatives’ success.
Responsabilidades
Un Data Analyst debe ser capaz de cumplir con varias funciones y responsabilidades. Las siguientes son algunas funciones y responsabilidades que un Data Analyst debe ser capaz de ejecutar:
  • Consulting with executives and other business leaders to identify improvement opportunities
  • Creating reports for internal teams, external clients and/or stakeholders
  • Collaborating with team members to collect and analyze data
  • Visualizing data with graphs, infographics and other methods
  • Establishing KPIs to measure the effectiveness of business decisions
  • Structuring large data sets to find usable information
Habilidades requeridas
Un Data Analyst competitivo tendrá ciertas habilidades y calificaciones, incluyendo:
  • Technical writing skills
  • Coding skills in languages such as Python
  • Analytical and problem-solving skills
  • Ability to set and meet deadlines
  • Ability to work in high-pressure situations
  • Experience with statistical software
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