Role Description We are seeking a highly organized and detail-oriented Remote Data Entry Clerk to join our team immediately. The ideal candidate will be responsible for accurately entering, updating, and maintaining information in our systems while supporting the organization’s mission to deliver quality care and services. - Accurately input, update, and maintain data in electronic databases and systems - Verify data for accuracy, completeness, and consistency - Retrieve and review information as requested by management or staff - Maintain confidentiality of sensitive information in compliance with HIPAA and organizational policies - Assist with generating reports and compiling data as needed - Support the administrative team with additional clerical tasks as required Qualifications - High school diploma or equivalent required; Associate’s degree preferred - Proven experience in data entry or administrative support - Excellent typing skills with strong attention to detail and accuracy - Proficiency with Microsoft Office Suite (Word, Excel) and database systems - Strong organizational and time management skills - Ability to work independently and remotely with minimal supervision - Commitment to maintaining confidentiality of sensitive data Benefits - Competitive pay - 100% remote work flexibility - Opportunities for professional growth and development - A mission-driven, supportive team environment

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in network engineering, infrastructure logs, telemetry review, network configuration analysis, anomaly identification, and structured technical data annotation workflows. This role supports current and upcoming remote consulting opportunities focused on structured network data review, infrastructure event analysis, telemetry classification, configuration assessment, data labeling, and high-quality project execution. Selected professionals will apply their network engineering expertise to review realistic infrastructure data, identify patterns and anomalies, prepare structured annotations, and support accurate, evidence-based network data workflows. Key Responsibilities - Network Data Review & Annotation - Review network-related data such as logs, configurations, telemetry, event streams, alerts, and time-series metrics. - Label and classify network behaviors, issues, anomalies, system states, and infrastructure events based on provided guidelines. - Support structured annotation workflows for large-scale network and infrastructure datasets. - Identify recurring patterns, unusual behaviors, missing context, and expected classification outcomes. - Infrastructure Configuration & Event Analysis - Review enterprise network scenarios involving switches, access points, firewalls, routing behavior, connectivity issues, and configuration states. - Interpret logs, events, metrics, and configuration details to support accurate technical classification. - Evaluate network data against source materials, expected behavior, and documented infrastructure rules. - Prepare clear written explanations for network observations, classifications, and technical decisions. - Data Pipeline & Schema Support - Support schema definition and structured data organization for network telemetry and infrastructure data workflows. - Review how raw infrastructure data is categorized, normalized, and prepared for downstream technical use. - Collaborate through structured review processes involving network events, data pipelines, and annotation standards. - Maintain accuracy, consistency, and professional judgment across submitted work. Qualifications - Experience working as a network engineer, infrastructure engineer, network operations specialist, systems engineer, or related technical professional. - Hands-on experience with enterprise networks, including switches, access points, firewalls, routing, wireless infrastructure, or network monitoring. - Comfort interpreting logs, events, telemetry, alerts, configurations, and time-series metrics. - Strong ability to identify network behaviors, operational issues, anomalies, and infrastructure patterns. - Interest in structured data workflows, annotation, data pipelines, or autonomous infrastructure systems. - Clear written communication skills and ability to explain technical reasoning clearly. Educational Background - A degree or professional background in network engineering, computer science, information technology, systems engineering, cybersecurity, telecommunications, or a related technical field is helpful. - Equivalent practical experience in network operations, enterprise networking, infrastructure support, telemetry review, or technical annotation work is also highly relevant. Nice to Have - Experience with enterprise networking environments, NOC workflows, observability tools, cloud networking, or infrastructure monitoring. - Familiarity with Cisco, Juniper, Arista, Meraki, Fortinet, Palo Alto, Ubiquiti, Aruba, or similar networking technologies. - Experience with logs, metrics, event streams, schema definition, data labeling, or annotation workflows. - Familiarity with data pipelines, machine learning input preparation, or technical dataset review. - Ability to work accurately across sustained review workflows requiring careful attention to detail. Why This Opportunity - Apply network engineering expertise to structured remote data annotation and infrastructure review work. - Contribute to high-quality network telemetry classification, log review, and technical data organization. - Work on flexible, project-based assignments aligned with your networking background. - Use your infrastructure judgment in a focused, detail-oriented technical environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time or extended weekly commitment depending on project availability. - Competitive rates between $55–$80 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn't exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One's pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face - things like data publishing, data consumption, data governance, and infrastructure management - we've built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Sr. Manager. Product Management, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. As a Senior Data Analysis Manager at Capital One Software, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to enable data driven decision making and create dashboards and visualizations that deliver information and insights at scale. You will perform in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. General Responsibilities: - Partnership : Partner with stakeholders across the GTM organization, including Sales, Sales Operations, Solutions Architecture, and Customer Success Leaders to identify and address reporting and analysis needs - Execution : Manage and sequence delivery of reporting and data needs, build business requirements and execute against these requirements. Own and drive multiple projects concurrently - Dashboarding and Visualization : Ability to create dashboards and data visualizations that deliver business insights and information at scale - Strategic & Analytic Orientation : A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation and data driven approach - Collaboration : Ability to collaborate and work with business partners across the enterprise. You should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results in a fast growing, matrixed environment - Strong Executive Communication Skills : Impeccable written and oral communication credentials, coupled with the ability to deliver core business reports to GTM leadership - Clear Results Orientation : Display an intense focus on achieving both short and long term goals. You should be able to drive and execute an agenda in an uncertain and fluid environment, including the preparation of ad-hoc analysis and reports - People Leadership: Provide effective coaching, and consistent feedback. Establish clear expectations and actively develop your associates' skills. Basic Qualifications - Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. - At least 5 years of experience performing professional data analysis work - At least 5 years of experience leading and developing with open source data technologies - At least 2 years of experience managing people Preferred Qualifications: - Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field - At least 7 years of experience in statistical or econometrics hands-on work - At least 5 years of experience manipulating and performing analysis with large data sets - At least 5 years of experience in financial services industry - At least 5 years of experience in developing statistical or econometric models - At least 5 years of experience in validating statistical or econometric models - At least 2 years of experience with data governance - At least 2 years of experience with predictive analytics - At least 2 years of experience with B2B SaaS products At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $182,500 - $208,300 for Sr. Data Analysis Manager Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Description Ищем Junior data analyst в команду коммерческой аналитики. Нужно будет помогать развивать расчет NetStarts — годового прогноза выручки по новым клиентам, анализировать эффективность продаж, поддерживать BI-отчётность и отвечать на ad-hoc запросы бизнеса. - Поддержка и развитие расчёта NetStarts; - Разбор вопросов бизнеса по корректности расчётов; - Анализ воронки продаж, конверсий и цикла сделки; - Разработка и поддержка BI-отчётности и витрин данных; - Автоматизация регулярных расчётов и проверок; - Ad-hoc аналитика для продаж и смежных команд. Qualifications - Уверенный SQL; - Опыт работы с базами данных; - Понимание базовой статистики и аналитических метрик; - Уверенный Excel: формулы, сводные таблицы; - Умение разбираться в бизнес-задачах и аккуратно работать с данными. Requirements - DataLens или другой BI; - Python: pandas, numpy, matplotlib; - dbt, Git, Airflow; - Интерес к продажам, коммерческой аналитике и бизнес-метрикам. Benefits - Оформление в аккредитованную ИТ-компанию; - Уровень заработной платы обсуждается по итогам собеседования; - Работай, как тебе удобно: из офиса (у нас они в Москве, Брянске и Ростове-на-Дону) или удалённо в пределах РФ; - Полная занятость, 5/2, гибкий график; - Техника на удалёнке — ноут и гарнитура за счёт компании; - Реальный карьерный рост — большинство руководителей ИТ команд выросли в ППР; - Воркшопы, внутренние тренинги и доступ к обучающей платформе; - Оплата внешнего обучения; - ДМС с широким набором клиник, стоматологией, юристом и психологом — через 3 месяца работы; - Больничный — до 14 дней в год без потерь в зарплате; - Плюс 3 оплачиваемых выходных в год — на случай форс мажоров или чтобы передохнуть; - Кафетерий льгот — бонусы, которые можно тратить на спорт, технику, салоны, поездки и благотворительность; - Комьюнити по интересам: киноклуб, настолки и всё, что вдохновляет. Вместе отмечаем праздники, дарим подарки на памятные даты.