TE Connectivity Hiring Drive 2024 For Senior Analyst – Business Intelligence | Location Bangalore

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TE Connectivity Hiring Drive 2024: TE Connectivity Hiring Drive 2024 for its Senior Analyst – Business Intelligence. TE Connectivity Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or master’s degree. if you are interested, please apply as soon as possible.

Company Name: TE Connectivity

Role: Senior Analyst – Business Intelligence

Location: Bangalore

Experience: 2+ years

Qualification: Bachelor’s or master’s degree B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: 9.0 to 18.0 LPA (Expected)

TE Connectivity Hiring Drive 2024

Requirements:

  • Possess knowledge of Tableau & SQL allowing for independent work
  • 2+ years’ experience in Tableau (including Prep)
  • 2+ years of Data Preparation using SQL.
  • Advanced user of Microsoft Excel, PowerPoint, and database software
  • Bachelor’s or master’s degree or equivalent experience
  • Background in data analytics, business intelligence and reporting
  • Ability to analyze business requirements and prepare technical requirements.
  • General knowledge and experience with ERP and Business Intelligence systems
  • Ability to validate own work and work of others, results oriented, customer focused, team player.

Responsibility:

  • Work with stakeholders to identify reporting needs, metrics, and systems.
  • Support the effective and efficient governance of self-service BI tools through developing and fostering standards, processes, and visualization / analytics best practices.
  • Utilize tools such as Excel, Tableau and SQL to automate repetitive analytics tasks and to deliver insights by blending multiple data sources together.
  • Leverage creative solutions, analytics, and visualization/reporting techniques to enhance knowledge and drive actionable insights that deliver ROI. This could include use of variance analysis, dashboards/ reporting, sales analytics, and regression.
  • Support the modeling and creation of datasets to be then used for self-service dashboard reports. Have knowledge of used datasets to be able to provide guidance to engineers and/or stakeholders.
  • Streamline data preparation and processes for maximum automation and efficiency whilst supporting environment migrations where required.

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