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Daniel Opusunju

Business Analyst

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About
My name is Daniel Opusunju, and I’m a motivated and detail-oriented professional with a background in customer service, administrative support, and CRM-based operations. Over the past few years, I’ve worked in a variety of industries, including finance, healthcare, retail, and telecommunications, where I’ve developed strong communication, problem-solving, and data management and data entry skills. I’m particularly interested in remote work opportunities that allow me to combine my organisational strengths with my passion for helping people. I enjoy roles where I can support operations behind the scenes, whether that’s through data entry, scheduling, email management, or handling customer queries in a professional and efficient way. One of my strongest qualities is my attention to detail. I take pride in getting things right the first time, especially when working with data or sensitive information. I’m also highly adaptable and tech-savvy, with experience using tools like Salesforce, Microsoft Excel, and other digital platforms. My previous roles have also taught me to stay calm under pressure, communicate clearly, and always put the customer or end-user first.
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Apr 2024 – Apr 2025
Huddersfield, UK
Customer Success Manager
• I Oversee a £2B+ client portfolio by utilising data analysis tools (e.g., Excel, Salesforce, and Power BI dashboards) to track onboarding metrics while applying strategic account management and Agile principles to boost platform adoption and customer satisfaction. • Pilot cross-functional client projects by facilitating regular stakeholder sessions and performing business analysis using Agile techniques to identify process bottlenecks and drive improvements in platform performance. • Design comprehensive training programs by gathering detailed user requirements through facilitated workshops that documented goals and objectives, resulting in an increase in user adoption and enhanced customer retention. • Deploy data-driven initiatives by analysing customer data over selected periods to design customer success frameworks that improved satisfaction.