AgilOne, the Customer Data and Engagement Hub, provides enterprise consumer marketers the power to integrate customer data across digital, physical, and mobile channels, deliver customer analytics with predictive insights and 360-degree profiles, and engage customers at every touch point in order to maximize lifetime value. Currently, the AgilOne solution supports more than 150 brands worldwide.
We leverage the latest technologies in big data, machine learning and data quality management to deliver an enterprise-grade, scalable and high performance tool for customers such as Tumi, Lululemon, Lilly Pulitzer and David’s Tea.
AgilOne is looking for a Data Analyst to join our Technical Support Team to help provide comprehensive technical application support and analysis in a fast-paced SaaS environment. In the role, one must be able to work directly with customers in high-pressure situations; have strong analytic, organizational, time management, and communication skills. We’re looking for a team player that possesses the willingness to do whatever it takes to achieve the highest level of customer satisfaction. This role is cross-functional interacting with Engineering, Operations and Professional Services teams.
- Interact directly with customers to isolate, reproduce, troubleshoot and resolve data and product interface problems
- Use problem-solving, critical-thinking and multi-tasking skills to maximize productivity and efficiency
- Maintain a detailed understanding of product architecture, technical components and application functionality
- Use troubleshooting experience to create and update our team Knowledge-base articles, Troubleshooting Guides, FAQ’s, and other related support collateral.
- Proven ability to mentor and display leadership and ownership of issues
- Experience with SQL, TSql, PL/SQL or similar database programming language experience
- Strong written and verbal communication skills with experience communicating at all levels of client organizations.
- Ability to function and thrive in a team environment with an appreciation of aggressive goals
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues and identify root causes.
- Bachelor's degree in information technology, computer science or a related field
- 2+ years of experience in a data analytics position
- Experience in a SaaS environment is a plus
- Familiarity with “Big Data” concepts is a plus