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Senior Data Analysis Manager, GTM Analytics - Capital One Software (Remote)
- Phoenix, Arizona, United States
- Phoenix, Arizona, United States
À propos
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 a 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 the 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 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 the financial services industry.
At least 5 years of experience developing statistical or econometric models.
At least 5 years of experience 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 (https://www.capitalonecareers.com/benefits). Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
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.
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Compétences linguistiques
- English
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