Client Success Analyst

Compensation

: $77,920.00 - $127,920.00 /year *

Employment Type

: Full-Time

Industry

: Telecommuting/Work-At-Home



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ABOUT US At StyleSage, we?re helping businesses focus on their business by doing the heavy lifting in competitive analysis. We?re data driven and never stop iterating. If you?d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we?d love to hear from you. The Client Success and Business Intelligence team at StyleSage is in charge of developing and maintaining partnerships by surfacing user insights, providing an amazing user experience and facilitating an ongoing collection of feature requests and technical integration for existing clients. We apply product, business and technical knowledge to match up our tool?s capabilities with the client?s business requirements, provide ongoing product education and advice on client's? product needs in a way that drives customer delight and success. This is an opportunity for an entry level Client Success Analyst role with 6 months - 2 years of experience (internship experience accepted) in a client-facing role with a demonstrated level of tech-savviness, resourcefulness and diplomacy. We are a growing startup and this role will be actively contributing to a continually evolving business. WHAT YOU'LL DO Evangelize the product: Learn the StyleSage platform inside and out and understand how this is used to help the world of fashion and retail make sound business decisions. On the CS team, assist with day-to-day client support and carrying out this area?s initiatives. This may include: Review and resolution of support tickets. Maintaining our CRM database. StyleSage Support Center/Knowledge Base management such as adding FAQs and updating training content. Preparing account service-related documents such as meeting reports, client correspondence recaps, feature request logs and user engagement reports. Analyze client user behavior and usage activity - and generate reporting for key client meetings and marketing efforts. Support research and insights projects designed to enhance clients? businesses. Help client success team with on-boarding, training, data delivery, and data interpretation needs. Work with CS team to deliver insights from the platform and leverage data. Driving the execution of process improvements/automation. Other account management, client service, industry research and strategy recommendation duties as assigned. Provide ad-hoc support to Senior Executives; report to Director of Client Success. WHO YOU ARE An entrepreneurial spirit - it?s the key to good storytelling (and having a good .gif game). Loves to foster relationships to create truly happy clients. Great sense of humor and adaptable ? some days won?t be so routine but you know how to roll with the punches and shift gears. A few clients will be demanding but you?re confident that you?ll win them over. You scan for new ideas/processes, are able to absorb them and translate them into action. You?re not afraid of technical concepts and enjoy problem-solving. Intermediate Excel user. Organized, analytical, self-sufficient and scrappy. Solid professional writing and verbal communication skills. Meticulous especially in communication of status, asking questions, task tracking, note-taking and troubleshooting. You more often update your manager rather than your manager following up with you. Quick to prioritize tasks and focus on client goals while keeping track of the latest changes and news in the client's respective field. Bachelor's Degree required. This is not a telecommuting role. Applicants must either be living in NYC or within reasonable commute distance. JOIN US! You?ll enjoy a welcoming and casual environment, great benefits, healthy snacks, company outings, and the ability to interact with and learn from leaders in the business of fashion and a tech community. We work hard and care about our most prized asset ? our people. * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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