Customer Data Analyst

Summary

Join Entersekt's growing Customer Success Team as a highly skilled Data Analyst. You will create insightful visualizations and reports, engage with clients, perform deep-dive analysis of customer behavior, design ETL processes, and collaborate with cross-functional teams. Responsibilities include statistical analysis, predictive modeling, ensuring data integrity, and knowledge sharing. The role requires strong analytical and communication skills, experience with data analysis tools, and a customer-focused approach. Entersekt offers a flexible work environment with remote work options and growth opportunities.

Requirements

• 5+ years in data analysis or business intelligence roles with customer-facing responsibilities
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
• Advanced skills in SQL, Python, and data visualization tools (e.g., Power BI). Experience with automation tools
• Experience working with customer data and CRM systems (e.g., Salesforce, HubSpot)
• Project Management: Ability to manage multiple projects and deadlines
• Analytical Thinking: Strong ability to analyze complex datasets and extract actionable insights
• Communication Skills: Excellent verbal, written and presentation skills are a must
• Collaboration: Ability to work effectively with cross-functional teams and translate business needs into technical requirements
• Independence and Initiative: Ability to work independently and proactively identify opportunities for improvement
• Attention to Detail: High precision in data handling and reporting
• Customer Focus & Stakeholder Management: Understanding of customer needs and ability to deliver tailored solutions where appropriate, pushing back where it is not
• Adaptability: Ability to adapt to changing requirements and priorities
• Innovation: Proactive approach to identifying and implementing innovative solutions

Responsibilities

• Data Visualization and Reporting: Create insightful visualizations and reports to support business insights and deliver performance data reporting
• Client Engagement: Gather information, provide updates on investigations, and build client governance reporting
• Deep-Dive Analysis: Analyze customer behavior, usage patterns, and feedback to identify trends and opportunities. Make data-driven recommendations and handle follow-up queries
• Data Collection and Integration: Design and run ETL processes for clean, accurate, and consistent data
• Collaboration : Work closely with the Product team to support requirements gathering and validation to drive automation and product improvements. Support testing of solutions. Collaborate with Customer Success/Delivery Managers and Key Account Managers to track key performance indicators (KPIs) such as churn, engagement, and Net Promoter Score (NPS)
• Statistical Analysis and Predictive Modelling: Perform statistical analysis and create predictive models. Segment customer data to support client-driven engagement strategies
• Data Integrity and Security: Ensure data integrity, accuracy, and security
• Knowledge Sharing: Share knowledge and best practices with team members

Preferred Qualifications

• Experience in banking, financial services, or fintech is beneficial
• Experience in payments and authentication is beneficial
• Relevant certifications are a plus

Benefits

• Flexible hours
• Remote work
• Plenty of growth opportunities