Data Insights Analyst

hace 1 día


San Pedro Garza García, Nuevo León, México Johnson Controls A tiempo completo

About the Role

The Data Insights Analyst will play a pivotal role in extracting valuable insights from data, enabling informed decision-making, and driving organizational growth at Johnson Controls. This position involves collecting, analyzing, and interpreting data to provide actionable recommendations.

Key Responsibilities:

  • Extract data from primary and secondary sources.
  • Ensure data accuracy and quality by removing irrelevant information.
  • Classify and organize data for further analysis.
  • Utilize statistical techniques to analyze data.
  • Identify trends, patterns, and correlations within complex datasets.
  • Translate findings into meaningful insights.
  • Develop and manage data systems and databases.
  • Implement strategies to optimize statistical efficiency and data quality.
  • Maintain data sources and ensure data integrity.
  • Master data visualization tools to create easily understandable graphs.
  • Facilitate data-driven decision-making through visual representations.

How You Will Contribute

  • Collaborate closely with stakeholders to gather and refine business requirements for analytical reporting.
  • Champion the effective utilization of BI data and drive process automation initiatives to optimize workflows.
  • Drive efficiencies by elimination of repetitive data mining and improve accessibility of detailed financial data. Recommend improvements where applicable.
  • Build, develop and maintain data models, automated reports, and dashboards that align with business performance metrics.
  • Participates in the analysis of root causes and focuses on creating permanent solutions.

Requirements

  • Education: A bachelor's degree in a relevant field (such as Computer Science, Statistics, Mathematics, or Business analytics) is required.
  • 3-5 years of experience in data analysis, business intelligence, or related roles.
  • Proficiency in programming languages (e.g., SQL, Python, R).
  • Strong analytical and problem-solving skills, with the ability to translate complex data into concise and meaningful insights
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Power Apps).
  • Excellent communication skills to convey complex findings effectively.

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