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Job ID : 35149

Location : Houston, TX

Company Name : wipros

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $75000 - $95000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Writing, communication, Domain knowledge..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Responsibilities:

  • Extract, transform, and load data from various sources, including SAP, Salesforce, Microsoft 365, and Google Workspace, ensuring data accuracy and integrity.
  • Develop and maintain Power BI data models and visualizations that provide actionable insights and support decision-making processes.
  • Conduct in-depth data analysis and interpretation to identify trends, patterns, and opportunities for process automation and optimization.
  • Design and implement data driven KPIs and metrics to measure performance and monitor progress towards organizational goals.
  • Stay updated on the latest advancements in Power BI and data analytics to recommend and implement best practices for data visualization and reporting.

Requirements:

  • Proven experience as a Data Analyst, preferably with expertise in Power BI and data analysis tools.
  • Strong proficiency in creating visually appealing and interactive reports and dashboards using Power BI.
  • Solid understanding of SAP, Salesforce, Microsoft 365, and Google Workspace, with experience extracting and analyzing data from these systems.
  • Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Strong communication and interpersonal skills to effectively collaborate with stakeholders at all levels of the organization.
  • Self-motivated with the ability to work independently and manage multiple projects simultaneously.
  • Continuous learning mindset with a keen interest in staying up to date with the latest advancements in data analytics and visualization.

Key Skills:

  • Data cleaning and preparation.
  • Data analysis and exploration.
  • Statistical knowledge.
  • Creating data visualizations.
  • Creating dashboards and reports.
  • Writing and communication.
  • Domain knowledge.
  • Problem solving.

 

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