Sr. Director, Data Analysis - 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. In 2025 we launched Databolt, our second product. 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. As a Senior Director, Data at Capital One Software, you will apply your strategic and analytical skills to major business challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. In this role, you will lead a growing team of data scientists, analysts, engineers. You will partner with people within the Software business and across the enterprise and at external agencies and platforms. Your work will drive direct and immediate business results, and your efforts will fuel the growth of Capital One Software. General responsibilities: - Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently - 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, given that a large part of the business is based on rigorous analytics - Strong business judgment, leadership and integrity: They should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business - Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. They should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Prior experience creating organization roadmaps and driving strategy/program execution. 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 10 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 8 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. - At least 8 years of experience performing professional data analysis work - At least 8 years of experience leading and developing with open source data technologies - At least 6 years of experience managing people Preferred Qualifications: - Master's Degree - 10+ years of Professional Data Analysis experience - 6+ years of Big Data experience (AWS and Spark) - 6+ years of cloud native (AWS) data processing experience - 6+ years of Process Management experience - 6+ years of Project Management experience - 6+ years of experience with Python - 6+ years of Data Governance experience - 3+ years of experience with streaming data technologies (Kafka, Flink, Spark streaming) 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): $245,100 - $279,800 for Sr. Director, Data Analysis McLean, VA: $269,600 - $307,700 for Sr. Director, Data Analysis 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 We're looking for a Senior Data Analyst, Customer Retention & Expansion (Advanced Analytics) within Revenue Operations – Global Analytics COE. This role is remote, based in the United States. Scale GTM excellence with deeper, predictive insights that improve revenue durability, forecast confidence, and post-sale execution. The Senior Analyst plays a critical role in improving gross and net retention, churn mitigation, renewal execution, and expansion outcomes across the post-sale lifecycle. This role partners globally with Customer Success, Sales, Finance, and GTM leadership to translate retention and expansion data into actionable insights, trusted analytics, and operationalized predictive signals that inform strategy and in-quarter execution. This is a hands-on, high-impact individual contributor role for an analytically rigorous operator who thrives at the intersection of data, GTM strategy, and decision-making. In this role you will: - Churn & Expansion Analytics - Own analytical frameworks for gross and net retention, churn, renewals, and expansion across regions, segments, and GTM motions (Enterprise, Mid-Market, SMB; New Logo vs. Expansion). - Build cohort-based and lifecycle analyses to isolate structural drivers of retention performance versus timing, mix, and coverage effects. - Partner with Customer Success, Sales, and Finance to align bookings, renewals, and expansion analytics into a single, trusted view of post-sale performance. - Predictive & Diagnostic Analytics (Operationalized) - Develop and apply predictive and diagnostic analytics (e.g., churn risk, renewal prioritization, expansion propensity) using SQL, Snowflake, and Python. - Operationalize predictive outputs into repeatable workflows such as renewal focus lists, risk segmentation, and forecast support materials. - Partner with Data Governance and Business Intelligence, where applicable, to support the movement of advanced analytics into production reporting or operational processes. - Apply scenario modeling to support forecast reviews, renewal deep dives, and in-quarter risk management. - Snowflake & In-Database Analytics - Leverage Snowflake and in-database analytics capabilities (including Snowflake Cortex where appropriate) to create scalable, repeatable scoring and insight outputs. - Build curated feature sets and analytical views that enable consistent use of retention and expansion signals across dashboards and analyses. - Data Marts & Domain Data Quality - Design and build domain-specific data marts in Snowflake to support retention, renewal, and expansion analytics. - Own metric definitions, analytical logic, and data quality for the retention and expansion analytics domain, ensuring consistency and trust across leadership reporting. - Proactively identify data issues, investigate root causes, and partner with Systems, BI, and Finance teams to resolve discrepancies. - Executive Storytelling & Operating Cadence - Translate complex analyses into clear, executive-ready narratives for forecast reviews, QBRs, and renewal deep dives. - Proactively surface emerging risks, trends, and opportunities before they appear in lagging results. - Contribute insights and analysis that inform recurring operating cadences led by RevOps and GTM leadership. Qualifications - 3–5 years of experience in Revenue Operations, GTM Analytics, Customer Analytics, or a related BI/Analytics role within a B2B SaaS or subscription business. - Demonstrated experience analyzing retention, churn, renewals, and expansion metrics. - Strong SQL skills and experience with cohorting, lifecycle analysis, and time-based modeling. - Experience building and maintaining dashboards in BI tools (Tableau preferred) and working directly with CRM and financial data. - Familiarity with Python and statistical techniques for predictive or diagnostic analysis (e.g., regression, propensity analysis) preferred. - Strong business acumen, curiosity, and the ability to connect data to decisions through clear, concise communication. Benefits - Comprehensive compensation package including annual bonuses and program-specific awards. - Salary range: 89200 - 142700 USD, dependent on job-related factors. - Flexibility and empowerment in your career.

Role Description The Data & Automation Program Coordinator supports the Automation Team by owning the execution, coordination, and follow-through of both data operations and project/process improvement initiatives. This role ensures that accurate data flows reliably into reporting and dashboards while simultaneously driving day-to-day execution of projects, documentation, and operational improvements. This position translates strategic direction into actionable work, maintains operational discipline across multiple initiatives, and supports scalable, data-informed decision-making across the organization. This is a fully remote role; however, candidates must reside in Texas due to occasional in-state travel and team alignment. Key Responsibilities - Data Operations & Reporting Execution - Perform daily and weekly extraction of raw data from various company systems and sources. - Assist in the manual cleaning and formatting of datasets to ensure they are ready for analysis. - Execute routine, recurring reports (daily/weekly/monthly) to track service levels and departmental KPIs. - Monitor existing dashboards for discrepancies or visual errors. - Project & Program Execution - Manage incoming project requests through intake, tracking, prioritization, and follow-up. - Coordinate day-to-day execution of active projects, ensuring deliverables progress according to scope, timelines, and priorities. - Identify stalled items, risks, or dependencies early and proactively drive resolution or escalation. - Track milestones, decisions, and action items across multiple concurrent initiatives. - Act as a liaison between operational teams, IT, billing, clinical leadership, and external partners as needed. - Operational & Meeting Support - Provide administrative and coordination support for IT, operations, and project meetings. Prepare and maintain agendas, notes, decisions, and action items, capturing requirements and next steps. - Follow up with stakeholders to ensure completion of assigned tasks and commitments. - Prepare project updates and summaries, including charts and presentation materials for leadership and operational meetings. - Documentation, Process & Change Support - Assist in the testing and documentation of new automation tools and software implementations. - Maintain up-to-date process documentation, SOPs, job aids, and shared reference materials. - Manage feedback trackers, forms, dashboards, and project artifacts. - Ensure documentation is organized, accessible, and consistently maintained. - Support change management efforts, including training materials, communications, and rollout planning. - Serve as a first point of reference for questions related to solutions in production by directing users to shared resources and documentation. Qualifications - Required - High level of proficiency in Microsoft Excel or Google Sheets (Pivot Tables, lookup functions, formulas). - Strong proficiency in Microsoft tools including Teams, Planner, OneNote, SharePoint, and Power Automate. - Exceptional organizational, documentation, and follow-up skills. - Proven ability to manage execution across multiple workstreams simultaneously. - High attention to detail with a strong focus on identifying inconsistencies in large datasets. - Excellent written and verbal communication skills. - Preferred - Familiarity with SQL (basic queries) or BI tools such as Power BI or Tableau. - Experience supporting healthcare, clinical, or operational environments. - Background in project coordination, operations, process improvement, or data operations.

Role Description We are looking for a Senior/Lead Data Analyst to turn large, complex datasets into clear insights that inform decisions across the business. You will write advanced SQL queries against Snowflake, build dashboards in tools like Tableau or Power BI, and present findings to both technical and non-technical stakeholders. The role is focused on analysis and visualization — not data engineering or model development — and actively incorporates AI copilots to accelerate query generation and data exploration. Strong data quality instincts and the ability to work independently across cross-functional teams are essential. Qualifications - 4+ years of experience with Python, Node.js, or Java - Hands-on experience with API integrations - Strong experience working in Kubernetes environments - Experience with Datadog or similar tools such as Prometheus and Grafana - Ability to configure dashboards, alerts, and APM - Experience monitoring containerized and microservices architectures - Hands-on experience with AWS - Experience integrating observability tools into cloud environments - Experience with CI/CD integrations for observability - Ability to automate monitoring and operational tasks using scripting - Upper-intermediate English level Requirements - Experience owning and operating an internal engineering platform, especially observability platforms - Demonstrated ownership of reliability, scalability, and performance - Ability to proactively lead maintenance efforts and platform improvements - Experience installing and configuring Datadog agents and integrations - Experience managing API keys and secure configurations - Experience managing user roles and access controls within observability platforms - Familiarity with Go (Golang) - Experience with additional observability tools such as New Relic, Dynatrace, Elastic Stack, or Splunk Observability Cloud Benefits - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps - Competitive compensation: USD-based pay with education, fitness, and team activity budgets - Exciting projects: Modern solutions with Fortune 500 and top product companies - Flextime: Flexible schedule with remote and office options