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BMC Customer Success Operations Data Analyst 
United States, Texas 
235486092

25.07.2024
Description and Requirements

CareerArc Code

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
  • Analyze customer success operations to identify areas for improvement and efficiency gains. Utilize data analysis techniques to assess performance metrics, identify trends, and recommend actionable insights.
  • Collaborate with cross-functional teams to streamline customer onboarding, adoption, and retention processes. Identify bottlenecks, propose solutions, and implement changes to enhance operational efficiency and customer experience.
  • Manage and maintain customer success data, ensuring accuracy, completeness, and integrity. Develop and maintain dashboards, reports, and analytics to track key performance indicators (KPIs) and provide regular updates to stakeholders.
  • Extract insights from customer data and tools such as Salesforce.com, Gainsight, surveys to understand behavior, patterns, preferences, and challenges. Use these insights to inform strategic decision-making, improve customer segmentation and engagement strategic, and drive product/service enhancements.
To ensure you are set up for success, you will bring the following skillset & experience:
  • You hold a Bachelor’s degree in Business Administration, Management Information Systems, Operations, Data Analytics or a related field.
  • Prior internship or coursework related to customer success, operations management or data analysis as well as working knowledge on industry standard Business Intelligence tools like Tableau.
  • You have strong analytical skills with the ability to analyze complex data sets and derive actionable insights.
  • You are proficient in data analysis tools such as Microsoft Excel, SQL, or similar platforms.
  • You are able to handle multiple tasks and meet deadlines in a fast-paced environment.
  • You have design thinking concepts or other visualization concepts that drive storytelling with data.
  • Excellent communication skills, both written and verbal, with the ability to effectively communicate findings and recommendations to diverse stakeholders.

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