Analytics Lead, Manufacturing Quality
Ashville, Ohio, United States
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE SITE
Anduril, a leader in autonomous systems and weapons manufacturing, is building Arsenal-1, its first hyperscale manufacturing facility, just south of Columbus, Ohio in Pickaway County. Arsenal-1 is redefining the scale and speed that autonomous systems and weapons can be produced for the United States and its allies and partners. This is a monumental and essential step toward rebuilding America’s defense industrial base, strengthening America’s warfighting capabilities, and enhancing deterrence amid rising international threats.
ABOUT THE TEAM
Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes.
We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site applications lead role at Arsenal-1, Anduril's high-volume manufacturing site in Ashville, OH. You are the resident analytics engineer at the site and the person accountable for what Quality Intelligence has deployed there. Most of this role is hands-on build; the rest is running the site as a program: gathering requirements from the floor, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap. Arsenal 1 is a lighthouse site, so the patterns you set here become the template for the factories that follow.
This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance.
WHAT YOU’LL DO
Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor analyzing quality workflows, building analytics tools for said workflows and implementing them in well-designed, actionable dashboards.
Production Data: You'll pull from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on.
Develop & Operate Analytics for Arsenal 1: You will design, build, and operate the production dashboards, pipelines, and quality metrics inspection-data analytics the site runs on. Arsenal 1 is greenfield, so you will collaborate closely with HQ to port over proven work. Well thought out decisions you make set the pattern for future programs.
Run intake and priorities for the site: hold a standing feedback loop with operators, manufacturing engineers, and program quality. Turn what you hear into a prioritized, visible backlog — what you can configure this week, what needs HQ build time, and what we are deliberately not doing — and file crisp, evidence-backed asks back to HQ so the platform gets better.
Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you are the lead investigator. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source.
Drive technical improvements: You will implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you made it provably trustworthy.
Build AI-assisted analytics tools: small apps and workflows in Foundry / Databricks that reduce repetitive analyst work by 10x, grounded in what you have learned from operators on the floor.
Lead data projects end-to-end: partner with cross-functional teams from requirements through deployment. Translate program quality leads' problems into data products that already exist or can be configured quickly and own the rollout.
Drive adoption: a dashboard nobody opens is ineffective. You will train operators, run office hours, track usage, and treat adoption at Arsenal 1 as a deliverable you own, not a downstream side effect.
AI Use: You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job.
Collaboration: Collaborate with cross-functional teams, which requires regular interaction with production and manufacturing stakeholders and frequently working directly on the production floor.
REQUIRED QUALIFICATIONS
Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 2 years applied data engineering experience in a manufacturing or hardware product engineering environment.
You understand how manufacturing works: the workflows, the quality gates, and how manufacturing data drives or degrades quality outcomes. You are willing to work in and around manufacturing operations, including time on the production floor.
Production experience with Foundry, Databricks or an equivalent cloud lake house. You have built and maintained pipelines and dashboards other teams depend on. Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning.
Strong applied experience using AI (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don't.
Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent).
Demonstrated root-cause analysis on complex data issues. When a number looks wrong, you can trace it back through the stack and explain why.
Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR).
You communicate plainly: to a director without jargon, to an engineer without losing precision.
Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal 1 in Ashville, OH.
Travel up to 25% to Anduril sites and vendors.
U.S. citizenship is required pursuant to contractual obligations.
PREFERRED QUALIFICATIONS
Experience supporting analytics for hardware manufacturing (NPI, ramp, high-volume) across any of ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems.
Experience as an embedded or site-resident engineer at a manufacturing or industrial site, or standing up systems and data at a greenfield facility.
Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design.
Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code.
Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration.
Experience mentoring or leading a small team of engineers or analysts.
US Salary Range
$165,000 - $218,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications:
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
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Listed by Anduril Industries for a position based in the United States. Employers on this board attest they are hiring domestically.
Analyst
36 days ago
Quality Analytics Site Lead
Anduril Industries · Ashville, Ohio, United States
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE SITE
Anduril, a leader in autonomous systems and weapons manufacturing, is building Arsenal-1, its first hyperscale manufacturing facility, just south of Columbus, Ohio in Pickaway County. Arsenal-1 is redefining the scale and speed that autonomous systems and weapons can be produced for the United States and its allies and partners. This is a monumental and essential step toward rebuilding America’s defense industrial base, strengthening America’s warfighting capabilities, and enhancing deterrence amid rising international threats.
ABOUT THE TEAM
Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes.
We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site applications lead role at Arsenal 1, Anduril's high-volume manufacturing site in Ashville, OH. You are the resident analytics engineer at the site and the person accountable for what Quality Intelligence has deployed there. Most of this role is hands-on build; the rest is running the site as a program: gathering requirements from the floor, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap. Arsenal 1 is a lighthouse site, so the patterns you set here become the template for the factories that follow.
This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance.
WHAT YOU’LL DO
Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor analyzing quality workflows, building analytics tools for said workflows and implementing them in well-designed, actionable dashboards.
Production Data: You'll pull from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on.
Develop & Operate Analytics for Arsenal 1: You will design, build, and operate the production dashboards, pipelines, and quality metrics inspection-data analytics the site runs on. Arsenal 1 is greenfield, so you will collaborate closely with HQ to port over proven work. Well thought out decisions you make set the pattern for future programs.
Run intake and priorities for the site: hold a standing feedback loop with operators, manufacturing engineers, and program quality. Turn what you hear into a prioritized, visible backlog — what you can configure this week, what needs HQ build time, and what we are deliberately not doing — and file crisp, evidence-backed asks back to HQ so the platform gets better.
Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you are the lead investigator. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source.
Drive technical improvements: You will implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you made it provably trustworthy.
Build AI-assisted analytics tools: small apps and workflows in Foundry / Databricks that reduce repetitive analyst work by 10x, grounded in what you have learned from operators on the floor.
Lead data projects end-to-end: partner with cross-functional teams from requirements through deployment. Translate program quality leads' problems into data products that already exist or can be configured quickly and own the rollout.
Drive adoption: a dashboard nobody opens is ineffective. You will train operators, run office hours, track usage, and treat adoption at Arsenal 1 as a deliverable you own, not a downstream side effect.
AI Use: You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job.
REQUIRED QUALIFICATIONS
Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 2 years applied data engineering experience in a manufacturing or hardware product engineering environment.
You understand how manufacturing works: the workflows, the quality gates, and how manufacturing data drives or degrades quality outcomes. You are willing to work in and around manufacturing operations, including time on the production floor.
Production experience with Foundry, Databricks or an equivalent cloud lake house. You have built and maintained pipelines and dashboards other teams depend on. Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning.
Strong applied experience using AI (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don't.
Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent).
Demonstrated root-cause analysis on complex data issues. When a number looks wrong, you can trace it back through the stack and explain why.
Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR).
You communicate plainly: to a director without jargon, to an engineer without losing precision.
Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal 1 in Ashville, OH.
Travel up to 25% to Anduril sites and vendors.
PREFERRED QUALIFICATIONS
Experience supporting analytics for hardware manufacturing (NPI, ramp, high-volume) across any of ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems.
Experience as an embedded or site-resident engineer at a manufacturing or industrial site, or standing up systems and data at a greenfield facility.
Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code.
Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration.
Experience mentoring or leading a small team of engineers or analysts.
US Salary Range
$165,000—$218,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications:
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address.
Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Listed by Anduril Industries for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Data Analyst, Marketing
Location
Remote (United States | Canada)
Employment Type
Full time
Location Type
Remote
Department
G&A
Overview
Application
1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We're looking for a Staff Data Analyst to be the senior analytical partner to our Marketing organization. You'll define how Marketing understands its own performance, influence investment decisions at the leadership level, and shape the data foundations that underpin our AI and automation capabilities. Sitting within our centralized analytics function, you'll work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations that move the business forward.
How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
7+ years in marketing analytics and data strategy within complex B2B SaaS environments
Deep marketing domain expertise, including attribution, funnel analysis, forecasting, KPI development, and lifecycle measurement
Proven experience partnering directly with senior marketing leaders and executive stakeholders
Experience leading attribution modernization or marketing measurement transformation initiatives
Familiarity with AI-assisted analytics, statistical modeling, or predictive techniques in a business context
Advanced SQL and strong experience with large-scale analytical datasets
Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar)
Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt
Experience working with Marketing and GTM platforms: Salesforce, Marketo, GA4, and related martech
What you can expect:
A greenfield opportunity to shape the data foundations, measurement frameworks, and analytical standards that Marketing and 1Password's broader AI capabilities will depend on
Deep partnership with Marketing leadership across planning cycles, investment decisions, and performance measurement
Ownership of complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis in a fast-moving SaaS environment
A seat at the forefront of how AI gets applied in Marketing analytics, building the trusted, governed data foundations that every AI initiative will depend on
Cross-functional partnership across Marketing, Finance, RevOps, Product, and Data teams with the opportunity to mentor analysts and raise the bar on analytical standards
An environment where there's a lot to build and your fingerprints will be on it. This is a role for someone who thrives with ownership and ambiguity, not a playbook to follow
USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $131,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
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1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
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Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
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Analyst
57 days ago
Senior Business Systems Analyst, Enterprise Planning (Pigment)
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Senior Business Systems Analyst, Enterprise Planning (Pigment)
Remote - United States
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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.
We're looking for a Senior Business Systems Analyst, Enterprise Planning to own our Pigment EPM platform. Oura is mid-implementation of Pigment as our unified planning system-of-record, replacing fragmented spreadsheets across FP&A and Supply Chain. This is a hands-on techno-functional role at the intersection of Finance, FP&A, Supply Chain, and IT — and the internal center of gravity for everything Pigment.
You'll partner directly with FP&A and Supply Chain business owners, the Enterprise Architecture team, and Business Technology leadership. You'll be the connective layer between business planning logic and the Pigment data model
What You'll Do
Own the platform – Serve as Oura's primary Pigment administrator: user provisioning, RBAC, SSO/SCIM integration, and quarterly access reviews. Manage the full model lifecycle from design and configuration through testing, deployment, and change management.
Build and maintain models – Configure and evolve Pigment models across FP&A modules (Revenue, OpEx/CapEx, Headcount, COGS, 3-Statement) and Supply Chain (Demand, Supply, Inventory, S&OP). Maintain driver-based logic, KPI calculations, scenarios, and approval workflows.
Manage data integration – Coordinate with the EA/Data team to operate and troubleshoot data pipelines between NetSuite, Databricks/Fivetran, S3, and Pigment. Maintain the data dictionary, schema documentation, and field mapping registry in line with EA standards.
Lead change governance – Run the Pigment Change Control Board (CCB) process for Tier 2/3 changes, including risk tiering, impact assessment, approvals, and release notes. Maintain audit trail integrity aligned to Oura's SOX readiness requirements.
Partner with the business – Act as the escalation point for Pigment issues from FP&A and Supply Chain. Translate evolving planning requirements into model enhancements. Facilitate design reviews and sign-off sessions; support UAT across modules.
Enable users – Build role-based training paths, internal runbooks, and model documentation in Confluence. Drive end-user adoption and self-service to reduce routine IT dependency.
Continuously improve – Stay current on Pigment's roadmap, advocate for relevant enhancements, and identify opportunities to expand capabilities — including AI-powered features, new modules, and additional data connections.
What We're Looking For
7+ years in finance systems, EPM platforms, or FP&A technology roles; 2+ years directly administering or modeling in Pigment, Anaplan, Workday Adaptive, Planful, or equivalent
Hands-on Pigment model-building and admin experience strongly preferred; strong Anaplan Model Builder experience considered
Solid understanding of FP&A processes: budgeting, forecasting, variance analysis, headcount planning, OpEx/CapEx, revenue planning, and 3-statement modeling
Familiarity with Supply Chain planning concepts — demand forecasting, supply constraints, inventory targets, and S&OP
Working knowledge of data integration patterns: API, flat file/S3, ETL/iPaaS (Workato or similar), and data warehouse connections (Databricks, Snowflake, or similar)
Experience with NetSuite or another ERP as a source for planning tools — GL mappings, cost centers, departmental hierarchies, and actuals data flows
Understanding of RBAC, access governance, and audit trail requirements in a SOX-relevant or pre-IPO environment
Strong documentation discipline: design specs, runbooks, change records, and user guides in Confluence, Jira, and Miro
Excellent stakeholder management — comfortable partnering with FP&A, Supply Chain, and IT simultaneously
Proactive, bias-for-action mindset; comfortable operating in a lean, fast-moving team
Nice to Have
Pigment Academy certifications (Modeler, Admin, or Power User)
Anaplan Solution Architect or Model Builder certification
Experience implementing Pigment with a consulting partner (Twelve, Argano, or similar)
Hands-on experience with Databricks, Fivetran, or AWS S3 in a planning data pipeline
Familiarity with GAAP, SOX ITGC, and financial controls relevant to planning systems
Experience building executive-facing dashboards and board-ready reporting views
Background supporting a hybrid hardware + SaaS business with multi-entity, multi-currency planning complexity
Why ŌURA?
Work on meaningful problems at the intersection of health, data, and technology
High-visibility role with direct impact on how Oura scales financial and operational planning
Collaborative, mission-driven culture with high autonomy and strong executive support
Competitive compensation, equity, and comprehensive benefits
Benefits
At ŌURA, we care about you and your well-being. Everyone here at ŌURA has a ring of their own and we are continually looking to improve employee health and add to our benefits!
What we offer:
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An ŌURA Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Amazing culture of collaborative and passionate coworkers
ŌURA takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
Region 1: $143,000 - $169,000
Region 2: $130,000 - $153,000
Region 3: $117,000 - $138,000
A recruiter can determine your zones/tiers based on your US location.
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
Our jobs are listed only on the ŌURA Careers page and trusted job boards.
We will never ask for personal information like ID or payment for equipment upfront.
Official offers are sent through Docusign after a verbal offer, not via text or email.
Stay cautious and protect your personal details.
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.
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Insights Analyst
San Francisco, CA & New York, NY
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Who We Are
At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 80% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
The Data Team @ Pave
Data is truly at the heart of what we do here at Pave. So, it’s no surprise that Pave data team members are integral collaborators and strategic owners with company-wide impact, enabling us to build a stellar product experience. The Insights pod is the team that turns Pave’s one-of-a-kind real-time compensation dataset into stories: research reports, market indices, content campaigns, and data products that shape how the market thinks about pay. We're looking for a Data Analyst to join this pod and help us scale our storytelling, serve our customers better, and build the measurement foundation to make smarter decisions about where we invest next.
What You'll Do
Partner with Marketing to take data stories from brief to published asset: running the analysis, building the narrative, and iterating fast across blogs, reports, social content, and landing pages
Support Pave's data products, including Pave Data Lab and Market Data, with research, analysis, and special projects that keep our content fresh and differentiated
Evangelize Pave's compensation community and expertise by fielding data and compensation questions from customers, prospects and internal team members
Develop a lightweight measurement framework that measures what's working across our content
Build a deep understanding of Pave's compensation dataset and translate complex findings into clear, compelling narratives for non-technical audiences
What You'll Bring
Marketing Mindset: You’ve been a core contributor in using data or metrics for marketing, storytelling, and growth
Communication and Data Storytelling: Your analyses regularly result in new initiatives, product features, and metrics movement.
Focus on Impact: You prioritize work that will make our product measurably better and our business measurably stronger.
2+ years of experience in a Data Analyst role, ideally in a customer-facing capacity.
Exceptional data manipulation skills with a proficiency in SQL and python.
Nice to haves
Experience with compensation and labor market data (or willingness to learn)
Experience with data tools like dbt, Hex, Claude code
Experience building customer-facing data products
Compensation, It's What We Do.
At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.
Targeted cash compensation for this role:
P2: $115,000 - $144,000
P3: $139,000 - $174,000
Benefits @ Pave
At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
What we offer
Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
Life @ Pave
Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.
Our culture is shaped by five values we live every day:
Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.
Our Vision: Unlock a labor market built on trust.
Our Mission: Build confidence in every compensation decision.
We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
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