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Data Analyst (100% Remote)

ClearCaptions, LLC

远程工作

地点
Remote (United States)
薪资
USD 100000-115000 per annual
工作安排
Full Time
发布日期
2026年10月14日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Since our founding in 2011, our mission has been to improve the lives of seniors and their caregivers. We are deeply passionate about communication and committed to becoming the foremost provider of services and solutions that enable seniors to lead more meaningful and independent lives. We also understand the power of connection and the profound impact it has on the lives of individuals who are hard-of-hearing. By utilizing enhanced automatic speech recognition, human captioning, and innovative product development, we deliver easy-to-use, cutting-edge technology to our primarily senior customer base. Our near real-time phone captioning technology allows individuals with hearing loss to see what callers are saying, enabling them to regain their connection to the world. ClearCaptions is a Federal Communications Commission (FCC)-certified telephone captioning provider, adhering to the highest industry standards of privacy, security, and professionalism. We recognize the importance of maintaining the trust and confidence of our customers, and we continually strive to exceed their expectations. For more information about our services please visit clearcaptions.com. The kind of people we look for: Versatile people who thrive on variety and challenge Excited about working in a fast-paced environment. Innate problem solvers who want to grow in a flexible, collaborative culture. Takes initiative, pushes boundaries, motivated to innovate. Individuals with a growth mindset who want to use their learning and relationship-building skills. Align with our company core values: Integrity, Accountability, Collaboration, Service and Quality. Summary: The Data Analyst collaborates with key organizational leaders, including the C-suite, to deliver cohesive, rigorous, and insightful reporting tools and in-depth analyses that facilitate data-driven decision making. This role translates complex data into clear, actionable insights that align with strategic business goals, while collaborating across technical and non-technical teams to foster a culture of data literacy and democratization. The role serves as a trusted thought-partner and problem-solver, bridging the gap between data and strategy to support impactful business outcomes. What This Role Does: Works collaboratively with internal teams to solve cross-functional business challenges and provide key insights that drive improvement for both the business and its customers. Translates analyses into actionable, data-backed recommendations and summaries of expected results. Analyzes operational initiatives to measure their effectiveness and impact on key performance indicators (KPIs), enables in-depth understanding of existing performance, and recommends process optimizations based on a data-driven analysis of expected results Conducts deep-dive root cause analyses (RCA) to determine key drivers of performance, observed changes, and trends. Develops, refines, and leverages cross-functional dashboards and reports to provide timely data for decision-making, as well as regular performance updates to stakeholders. Collects, integrates, and interprets cross-functional and disparate data sets to provide holistic insights, recommendations, and analysis of business value impact across the acquisition funnel, including marketing, sales, and operations. Prototypes and develops PoC tools to enable deeper organizational understanding of performance, year-over-year pacing, and progress against goals. Leverages advanced analytics modeling, including regression, forecasting, segmentation, and similar methodologies, to deliver significant and rigorous business insights. Supports A/B and experimental test design; leads analysis of test data and delivery of actionable results using rigorous statistical analysis methodologies Maintains a detailed understanding of platforms, data structures, and data architecture to serve as a reliable organizational resource and contribute to the evolution of analytics capabilities and frameworks. Partners closely with Data Engineering and Reporting teams to communicate and collaborate on complex data needs and projects supporting business requirements, automation initiatives, and metric alignment. Independently determines and pursues deep-dive opportunities for ad hoc analysis and predictive analytics to provide insights and recommendations to key business leaders. Serves as a key partner with internal team members to refine and optimize organizational performance efforts. Develops calculation models, wireframes, and requirements for Data Engineering and Reporting developers in support of initiatives related to the automation of data pipelines and automated, dynamic reporting tools. Maintains data dictionaries, metric definitions, event mapping, and documentation of data sources. Ensures data security and compliance with data privacy regulations. Performs other duties as assigned. What You Will Bring: A bachelor’s degree in business, economics, statistics, analytics or a related field is required. Equivalent combinations of education and relevant experience may be considered. A minimum of five (5) years in a role with demonstrated analytical background and expertise (e.g., data analysis, business analytics, statistical analysis, forecasting/demand management). Proficiency in data analysis tools and languages such as SQL, DAX, Python, and/or R with advanced skill in Excel. Strong data visualization skills using Power BI and/or Tableau as well as for storytelling in presentations of results to organizational leadership. Excellent analytical and statistical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Solid understanding of statistical concepts and data analysis techniques, including evaluation of ROI and attribution, hypothesis testing, confidence intervals, and forecasting methodology. Demonstrated proficiency with a broad range of technologies and tools related to data visualization, operational platforms, Microsoft Fabric and/or Azure data environments, Git repositories, Salesforce data, GA4, and the analysis of large, complex datasets. Experience analyzing and reporting data to identify issues, trends, or opportunities in a meaningful way to a variety of audiences. Experience collaborating with business unit leaders for requirements gathering and refinement of key business needs and questions. Excellent verbal and written communication, presentation, and problem-solving skills. Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes. Ability to guide and support others through collaboration, including assisting teammates and contributing to shared processes, to foster a high-quality, team-oriented environment that drives results. Demonstrated ability as a self-starter, able to work independently, make sound decisions, and use discretion. Willingness and ability to work flexible hours as needed. Proficiency in Microsoft Office Suite and modern communication tools for virtual teams (e.g., Microsoft Teams, Slack). Physical Demands: In accordance with the Americans with Disabilities Act (ADA) and applicable state and local laws, the Company will provide reasonable accommodations to qualified individuals with documented disabilities to enable them to perform the essential functions of the job, unless such accommodations would impose an undue hardship. Employees seeking accommodation should contact the People Department to initiate the interactive process. Employees may experience the following physical demands for extended periods of time: Sitting, standing, and walking (95-100%) Keyboarding (70-90%) Viewing computer monitor, tablet, and cell phone requiring close vision (70-90%) Work Environment: 100% Remote: Work environment is at home. Compensation: $100,000 to $115,000/yr determined by competitive market analysis and internal equity considerations. Final compensation will be based on the candidate’s qualifications, experience, and business needs. For details on our comprehensive benefits program, visit www.clearcaptions.com/careers to explore our total rewards package. Intrigued to learn more? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us if we think there could be a fit and what next steps look like. ClearCaptions is an equal opportunity employer committed to inclusion and diversity. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Disclaimer: The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. ClearCaptions does not offer sponsorship for work authorization. Candidates must be authorized to work for any employer in the US without a current or future need for Visa sponsorship. Protecting Your Candidate Experience At ClearCaptions, your candidate experience matters to us. To ensure transparency and security throughout the hiring process, please keep the following in mind: All legitimate ClearCaptions job openings are posted exclusively on this careers page. Our recruiters will only contact you from verified @clearcaptions.com email addresses. We will never offer a job through LinkedIn messages or any social media platform. We will never ask for sensitive personal information (like banking details or Social Security numbers) during early stages of the hiring process. We encourage all applicants to stay vigilant against online job scams, especially those that misuse company names or logos to appear legitimate. If you receive a message that seems suspicious or doesn’t follow these guidelines, please don’t engage. You’re welcome to verify any opportunity by reaching out to us directly at . We’re committed to a hiring process that is respectful, secure, and clear every step of the way. Originally posted on Himalayas

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为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

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