Experienced Full Stack Data Analyst – Customer Relationships & Business Insights at arenaflex

Join arenaflex's Dynamic Team and Shape the Future of Data-Driven Customer Solutions Are you a skilled data analyst with a passion for building strong customer relationships and driving business growth? Do you thrive in a fast-paced, remote environment where you can work independently and make a lasting impact? Look no further! arenaflex is seeking an experienced Data Analyst to join our team, who can not only excel in data analysis but also take ownership of customer relationships. In this role, you'll operate as an independent contributor, working directly with enterprise clients to provide data insights while also managing all aspects of the client relationship – much like a Customer Success Manager. Who We Are arenaflex is a YC-backed, profitable Data-as-a-Service (DaaS) company, founded in 2011. We manage over 3 petabytes of data monthly and are focused on building something meaningful and sustainable for the long term. Our globally distributed team of over 40 remote professionals is committed to continuous learning, steady growth, and making a lasting impact. We're proud of our decade-long journey of growth and profitability. Our customers include some of the world's largest sales platforms, recruitment solutions, venture capital firms, and private equity companies, as well as cutting-edge startups from Y Combinator. What We're Looking For We're seeking an experienced Data Analyst to join our team, who can not only excel in data analysis but also take ownership of customer relationships. In this role, you'll operate as an independent contributor, working directly with enterprise clients to provide data insights while also managing all aspects of the client relationship – much like a Customer Success Manager. You'll ensure clients achieve their business goals using our data products and build long-term partnerships with them. Key Responsibilities * Independent Data Analysis: Work closely with enterprise clients to gather requirements, analyze large datasets, and deliver actionable insights that help them achieve their business objectives. * Customer Success: Take full responsibility for the success of your clients. Act as the primary point of contact for all client communication, ensuring they maximize the value of our data products. Handle support requests, escalations, and proactively engage with clients to anticipate their needs. * Client Relationship Management: Build and maintain strong client relationships, acting as a trusted advisor. Ensure customers are satisfied and help them get the most out of our data services. * Project Management: Oversee the lifecycle of data projects, ensuring timely delivery, clear communication, and successful outcomes for the client. * Cross-functional Collaboration: Work closely with product, engineering, and other internal teams to align our data solutions with client needs, offering feedback and insights to drive improvements. Key Qualifications * 5+ years of experience as a Data Analyst, with a demonstrated ability to work independently and manage end-to-end data projects. * Previous experience in a Customer Success, Account Management, or related role, with a focus on managing enterprise client relationships. * Strong proficiency in SQL, data visualization tools, and experience working with large datasets. * Excellent communication skills, with the ability to explain data-driven insights to both technical and non-technical stakeholders. * Proven ability to manage multiple projects, prioritize tasks, and deliver high-quality results in a remote, fast-paced environment. * Self-starter with a strong sense of ownership and accountability, comfortable working independently. Essential Skills and Competencies * Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets. * Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. * Strong project management skills, with the ability to prioritize tasks, manage multiple projects, and deliver high-quality results in a fast-paced environment. * Self-motivated and proactive, with a strong sense of ownership and accountability. * Ability to work independently, with minimal supervision, and as part of a remote team. Preferred Qualifications * Experience working with cloud-based data platforms, such as Amazon Redshift or Google BigQuery. * Familiarity with data visualization tools, such as Tableau or Power BI. * Experience working with agile development methodologies, such as Scrum or Kanban. * Strong understanding of data governance and data quality principles. * Experience working with customer relationship management (CRM) software, such as Salesforce. Opportunities for Growth As you excel in this role, you will have the opportunity to build and lead a team of data analysts and customer success professionals. You'll mentor junior team members and play a crucial role in expanding the data and customer success functions as we continue to grow. What's In It for You * 100% Remote Work: Work from anywhere, anytime. We value results, not the hours you clock, and trust you to manage your time effectively. * Home-office Setup: We provide a Remote Office Grant to ensure you have a comfortable, productive workspace. * Comprehensive Health Coverage: We offer 100% health coverage and term life insurance. * Personal Development: Enjoy an unlimited book budget to continue learning, plus we cover Netflix and Spotify subscriptions as part of our Entertainment Allowance. * Flexible Leave Policy: Recharge with flexible time off, as long as you're supporting your team and meeting expectations. Join arenaflex's Dynamic Team and Shape the Future of Data-Driven Customer Solutions If you're a skilled data analyst who enjoys working directly with clients and is ready to take on the dual responsibility of driving both data insights and customer success, we'd love to hear from you! Apply now and help shape the future of arenaflex's data-driven customer solutions.

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