1,000+ matching jobs for “Quantitative Analytics Senior”

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Lowe's

Sr Analyst Pro & Services Reporting

Mooresville, NC (SSC) 1999

Added Oct 27, 2026

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Nike

Senior Manager, Digital Merch, Jordan GC

Shanghai, Shanghai, China

… that enjoy the energy of moving at the pace of the consumer and digital retail. A successful Merchandising Senior Manager will thrive and contribute to an inclusive, positive, and progressive team dynamic, as well as …

Added Oct 27, 2026

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Northern Trust

Senior Lead Validator – Cybersecurity Model Risk

Chicago, Illinois, United States

Full time
Regular

Pay posted by employer$137,400–$233,600 USD

serves as a senior subject matter expert at the intersection of Cybersecurity Risk and Model Risk Management, covering threat …

Added Oct 16, 2026

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Coupang

Senior Data Analyst - Logistics Middle Mile

Taipei, Taiwan, Taiwan

Full time (company default)
Senior

? Business Analytics & Insights Partner closely with Middle Mile, Hub, Transportation, and Operations leaders to provide …

Added Oct 4, 2026

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Databricks

Senior Manager Compensation R&D

United States

Senior

Pay posted by employer$217,800–$299,550 USD

… looking for a strategic compensation leader who likes to build. You'll be a trusted partner to founders and senior leaders in our Engineering organization. Together you'll create compensation solutions that help us …

Added Oct 4, 2026

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Capital One Financial

Senior Associate, Data Scientist - Model Risk Office

McLean, Virginia, United States +2 locations

Senior Associate, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we …

Added Oct 27, 2026

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McKesson

Senior UX Researcher & Designer

London

Hybrid
Full time

Owns the quantitative research programmes used to understand user needs, behaviours, and pain points, utilising methods such as …

Added Oct 27, 2026

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Coca-Cola

Senior Marketing Manager, aRTD

Philippines - Taguig City

… the Alcoholic Ready‑To‑Drink (aRTD) portfolio marks an exciting frontier in our growth journey. This Senior Marketing Manager role offers a unique opportunity to shape how our iconic collaborations—such as Jack …

Added Oct 30, 2026

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Merck (MSD)

Senior Specialist, Software Engineering

Hyderabad, Telangana, India

… products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of …

Added Oct 16, 2026

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McKesson

Senior Business Intelligence & Automation Analyst

Irving, Texas, United States +1 location

Remote
Full time

Pay posted by employer$114,200–$190,400

… and our people. If you want to be part of tomorrow’s health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building …

Added Oct 27, 2026

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Walmart

(USA) Senior Manager, Product Marketing

San Bruno, California, United States +1 location

Pay posted by employer$117,000–$234,000 per year

... What you'll do... The Senior Product Marketing Manager, Competitive Intelligence is a senior individual contributor role responsible for …

Added Oct 27, 2026

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The Home Depot

Senior Data Scientist, Online Merchandising

STORE SUPPORT CENTER, ATLANTA - 9090

In person
Full time
Regular

… and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be …

Added Oct 15, 2026

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Capital One Financial

Sr. Business Manager, Card Technology Strategy team

McLean, Virginia, United States +1 location

… implement new product and pricing strategies for various lending products; lead product level data modeling/analytics Execution: Manage and sequence delivery of business intent, build business requirements and execute against …

Added Oct 27, 2026

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Intel

Senior Director Competitive and Solutions Marketing [

Santa Clara, California, United States +3 locations

Full time
Regular

Pay posted by employer$224,970–$374,800 USD per year

We are seeking a transformative, results-driven leader to serve as Senior Director of Competitive and Solutions Marketing. You will architect and guide our centralized intelligence …

Added Nov 3, 2026

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Capital One Financial

Senior Manager, Data Science - Business Card and Payment

McLean, Virginia, United States

Senior Manager, Data Science - Business Card and Payment Data is at the center of everything we do. As a startup, …

Added Oct 27, 2026

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Johnson & Johnson

Senior Analyst, Strategic Capacity Management

Ringaskiddy, Cork, Ireland

Full time
Regular

DePuy Synthes is recruiting for a Senior Analyst, Strategic Capacity Management supporting the Orthopaedics business in Cork, Ireland. At Johnson & …

Added Oct 15, 2026

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Capital One Financial

Senior Manager, Product Management - Emerging Payments

New York City, New York, United States +1 location

Senior Manager, Product Management - Emerging Payments Product Management at Capital One is a booming, vibrant …

Added Oct 27, 2026

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Amgen

CDNA_Sr Manager – Media Data Ops

India - Hyderabad

Full time
Regular

… for MSO’s data backbone and BI products, balancing scale, reliability, flexibility, and speed. Act as the senior authority on data‑to‑decision enablement, ensuring outputs are not only technically correct but …

Added Oct 15, 2026

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Capital One Financial

Senior Business Analyst - Business Analysis for Talent Acquisition

McLean, Virginia, United States

… develop solutions, scope operational feasibility, lead implementation efforts and develop a monitoring plan Quantitative Analysis and Insight Generation : Leverage coding languages such as SQL and Python and AI tools such as …

Added Oct 27, 2026

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Capital One Financial

Sr. Manager, Product Management - Auto

Plano, Texas, United States

… degree will be obtained on or before the scheduled start date: A Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer …

Added Nov 3, 2026

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Databricks

Senior Manager Compensation R&D

United States

Senior

Pay posted by employer$217,800–$299,550 USD

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What we look for · employer excerpt

Quantitative and technical skill is the foundation of this role. Everything else we look for builds on it.

About this opportunity

Original employer description

GAQ127R143

Databricks is looking for a strategic compensation leader who likes to build. You'll be a trusted partner to founders and senior leaders in our Engineering organization. Together you'll create compensation solutions that help us attract, retain and motivate world-class engineering and technical talent, and you'll use AI to build the tools that make those solutions scale. This role reports to the Director of Compensation.

At Databricks, compensation is more than a number. It's how we show that every employee is an owner and part of our success. We're looking for someone with a strong foundation and a track record of doing exactly that.

What it takes to thrive

Databricks is a deeply technical, fast-moving company, and our Engineering organization builds the platform everything else runs on. You'll partner with highly technical, data-driven leaders who expect rigorous analysis, clear points of view and collaborative problem-solving. Priorities can change quickly, and you'll often run several important initiatives at once.

We set high standards for this role to support our fast-paced growth. Successful team members in this environment tend to:

Build trust through analytical rigor. You present well-reasoned models and effectively articulate complex analysis to engineering leaders who will test your assumptions.
Navigate fast-paced priorities with resilience. You maintain focus, sound judgment, and positivity when balancing competing deadlines and feedback.
Offer constructive perspectives. You confidently partner with senior stakeholders to propose data-backed alternative solutions and drive alignment to finalize decisions.
Embrace feedback as a growth tool. You extract actionable insights from feedback and respond with clarity and openness.
Create order from ambiguity. When there's no playbook, you build one, and you're comfortable acting on 80% of the information.

If you are excited by high standards, technical depth, and collaborative strategic discussions, you will find this work deeply rewarding.

The impact you will have

This is a hands-on, high-impact role. Expected time on each area:

Engineering compensation solutions and strategic advice (40%)

Work directly with Engineering leaders to diagnose talent challenges, such as competition for AI/ML and infrastructure talent, hard-to-fill specialist roles, rapid team scaling, acquisitions and reorganizations. Then design attraction and retention solutions that solve them.
Turn vague or urgent requests into clear options with explicit tradeoffs, and help leaders reach a decision.
Serve as the main compensation advisor on strategic technical hires (senior ICs, distinguished engineers, research leaders and engineering executives) and on high-stakes retention cases.
Advise on technical leveling, including IC and management career paths and how compensation should differ across them.

AI-enabled lifecycle compensation (30%)

Run merit, refresh equity and promotion cycles end to end for global R&D teams.
Design and build AI tools and workflows that reduce manual work and improve decisions. Examples include offer modeling, retention-risk analysis, cycle quality checks, and self-serve insights for leaders.
Spot what's repetitive or error-prone in today's processes and automate it.

Enterprise compensation frameworks (30%)

Help scale Databricks' global compensation structure, including market pricing models, pay-for-performance design, equity strategy and technical job architecture.
Build frameworks that solve today's problems and anticipate the ones coming as we grow, including emerging skill premiums such as AI/ML.

What we look for

Quantitative and technical skill is the foundation of this role. Everything else we look for builds on it.

1. Quantitative and technical foundation (required)

Expert-level analytical modeling. You build compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis.
Built with AI. You've personally used AI tools (for example LLMs, AI assistants, or automation and agent platforms) to build compensation tools, models or workflows that others rely on. You don't need to be a software engineer, but you should be able to explain how it works, what you'd improve, and how you checked that its outputs were accurate.
Equity fluency. You understand RSU and option mechanics, vesting design, refresh strategy, and how grant values and share price movement affect cost and retention, especially for long-tenured, high-equity technical talent.
Statistical judgment. You know when a market data cut is credible, when a sample is too small (common with niche technical roles), and how to present ranges and market pricing without false precision.

2. Compensation expertise (required)

You know your craft. Job architecture, technical career ladders, compensation frameworks, market pricing, year-end and mid-year pay cycles, global compensation practices, and pay-for-performance design.
You know the competition. Deep knowledge of competitor compensation for high-tech talent, especially new-hire and refresh equity strategy at high-growth tech companies, public tech companies, and AI labs.
You reason from first principles. You balance compensation best practice with what the business actually needs, and you can rebuild a framework from its underlying logic when the standard approach doesn't fit.

3. Strategic partnership (required)

Trusted advisor to senior leaders. You have a track record of advising executives on sensitive, high-stakes compensation decisions (offers, promotions, leveling, retention, transfers, org changes) and influencing the outcome through data and judgment rather than authority.
Operational excellence. You connect the dots between systems, stakeholders and programs to deliver compensation programs end to end, accurately and on time.
Clear communicator. You turn complex analysis into a crisp recommendation an executive can act on in one conversation.

Nice-to-haves

Experience supporting Engineering, R&D or other technical organizations at a high-growth tech company.
Familiarity with the market for AI/ML, research or specialized infrastructure talent.
Experience with acquisition (including acqui-hire) compensation and retention design.
Experience with Tableau or other BI tools, or building dashboards for leaders.
Experience scaling compensation programs through hypergrowth, IPO, or major organizational change.
A background in a quantitative field (for example finance, statistics, engineering), or equivalent experience.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$217,800—$299,550 USD

Zone 2 Pay Range

$196,100—$269,600 USD

Zone 3 Pay Range

$185,200—$254,650 USD

Zone 4 Pay Range

$174,200—$239,600 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Why this result? · Employer labels

Keywords also found in description

People and HR
Senior

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.