Robert Half

Customer Success Data Analyst Job at Robert Half in New Orleans

Robert Half, New Orleans, LA, US, 70165

Job Description

The Customer Success Data Analyst plays a critical role in driving customer satisfaction and operational excellence by analyzing customer service data, identifying trends, and providing actionable insights. This role supports strategic decision-making and continuous improvement efforts across the customer success function, ensuring a proactive approach to issue resolution and stakeholder engagement.

Key Responsibilities:

Analyze customer service data, account activity, and support interactions to identify patterns, trends, and root causes of issues.
Develop dashboards, reports, and visualizations that communicate insights to stakeholders across departments.
Collaborate with Customer Success Managers, Support Teams, and Product teams to recommend data-driven improvements to processes and customer journeys.
Monitor key performance indicators (KPIs) such as customer satisfaction (CSAT), Net Promoter Score (NPS), resolution time, and churn rates.
Forecast potential customer issues and develop preventative strategies to enhance customer retention and satisfaction.
Present findings and recommendations to leadership to support strategic planning and operational decisions.
Maintain data integrity and ensure consistent tracking of customer metrics across platforms.
Support ad hoc analysis requests and contribute to cross-functional projects aimed at improving the customer experience.

Bachelor’s degree in Data Analytics, Business, Statistics, or a related field or relevant experience
2+ years of experience in data analysis, preferably within customer service or customer success environments.
Proficiency in data tools such as Excel, SQL, Tableau, Power BI, or similar platforms.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills with the ability to translate complex data into clear, actionable insights.
Experience working cross-functionally and influencing stakeholders through data storytelling.