Seattle, WA

Data Jobs in Seattle, WA

173 jobs found

Include remote jobs

Today

Data Scientist III (AmSec)

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$159k - $215k/yr Full time Aws Quicksight Big Data Data Science

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Job Description

Own complex, high-ambiguity security analytics problems and deliver scalable data science models to protect customer trust.

Responsibilities

Define problems and solution approaches independently in ambiguous, open-ended security data science spaces
Process and analyze large datasets using a broad set of data science techniques, choosing the right method for the situation
Build and run experiments to validate approaches and drive measurable outcomes
Deliver scalable models that efficiently analyze large data sets
Develop mathematical models to detect and classify specific data elements with high accuracy
Prototype models using high-level modeling languages such as R, and software languages such as Python
Lead large projects requiring both business and technical domain expertise, focused on significant business benefit
Influence multiple teams and build consensus with business, science, and engineering stakeholders
Advise senior managers and directors on data-driven security decisions
Mentor and develop other scientists
Conduct data science technical assessments
Participate in science and data-engineering code reviews
Create, enhance, and maintain technical documentation
Present findings to other scientists and business leaders, keeping teams current on relevant scientific advancements

Requirements

5+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R, SAS, Matlab, etc.
4+ years of experience as a Data Scientist
Experience with statistical models such as multinomial logistic regression

Preferred Qualifications

2+ years of experience with data visualization tools such as AWS QuickSight, Tableau, and R Shiny
Experience managing data pipelines
Experience leading and mentoring on a data science team

Tech Stack

SQL
Python
R
SAS
Matlab
Multinomial logistic regression
AWS QuickSight
Tableau
R Shiny

Location and Compensation

Location: Seattle, WA (onsite)
Salary: USD 159,200 - 215,300 per year
Experience: 4+ years

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription; Basic Life & AD&D; option for Supplemental life plans; EAP; Mental Health Support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

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1d ago

Data Engineer II, Sales Data Services (SDS)

Amazon.com Services LLC Seattle, WA

Seattle, WA

1d ago

$132k - $179k/yr Full time Amazon Web Services Analytics AWS

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Job Description

Amazon Advertising’s Sales Data Services (SDS) team is hiring a Data Engineer II to build and support data warehouse and data lake infrastructure for pan-Amazon sales intelligence.

Responsibilities

Design, implement, and support data warehouse and data lake infrastructure using AWS big data stack, Python, and Redshift
Develop and manage ETLs to pull data from multiple data lakes and create a unified data model for analytics and reporting
Enable self-serve analytics by supporting both technical and non-technical internal customers
Provide ad-hoc reporting support as needed for internal stakeholders
Build deep understanding of large data sources to determine which data to use, and when, to solve business problems
Manage numerous concurrent requests, prioritizing strategically and collaborating across teams to deliver results
Mentor other engineers, contribute to positive team culture, and help grow the team

Requirements

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for BI analytics using ETL/ELT processes
1+ years developing and operating large-scale data structures for BI analytics using OLAP technologies
1+ years developing and operating large-scale data structures for BI analytics using data modeling
1+ years developing and operating large-scale data structures for BI analytics using SQL
1+ years developing and operating large-scale data structures for BI analytics using Oracle
3+ years of in the job offered or a related occupation experience
1+ years developing and operating large-scale BI data structures using each: ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Experience with data modeling, warehousing, and building ETL pipelines

Technologies

AWS
Python
Redshift
ETL
ELT
OLAP
SQL
Oracle
Data warehouse, data lake, data modeling, data warehousing
ETL pipelines
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance
Option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores, including object storage, document or key-value stores, graph databases, or column-family databases

Location: Seattle, WA (onsite)

Compensation: USD 132,100 - 178,800 per year

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2d ago

Data Analyst - Rail/Transit

Network Rail Consulting Seattle, WA

Seattle, WA

2d ago

Full time Analytical Skills Analytics Business Analytics

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Job Description

Network Rail Consulting is hiring a Data Analyst in Seattle, WA for a hybrid role supporting client project teams. You will help strengthen transit asset management by extracting, compiling, analyzing, and visualizing data, with the ability to turn findings into clear dashboards and presentations for both internal and external audiences.

What you’ll work on

Compile data from client systems, including Trapeze EAM, Maximo EAM, and various LMS / EAM / ERP sources for training and inventory data.
Perform data mapping to support data migration and data conformance evaluation.
Develop data definition/dictionaries with subject matter experts (SMEs).
Evaluate data quality against agency data quality metrics and propose a remediation plan.
Partner with the data governance program to develop data standards.
Create reference data and taxonomies to improve consistency and usability.
Extract, organize, and analyze data for trending, and compare ERP/EAM program needs and requirements.
Support recommendations by providing feedback on data remediation proposals.
Ensure data quality and compliance with applicable state and federal laws and regulations.
Design and build dashboards in Excel and Power BI for internal and external use.
Prepare PowerPoint presentations for internal and external audiences.
Assist the client, Project Manager, or project team as required.

Skills and qualifications

Recent graduate with a Bachelor’s or master’s Degree (or equivalent) in a relevant field.
Highly skilled in Power BI, Excel, and PowerPoint.
Excellent communicator and writer, with strong presentation and documentation skills.
Experience with MS Co-Pilot.
Strong visual storytelling ability to make data easy to understand.
Excellent listening skills and the ability to work independently with clients.
EAM / CMMS experience is strongly preferred.
Previous experience with ERP / LMS / GIS applications is desirable but not essential.

Tools you’ll use

Trapeze EAM, Maximo EAM, LMS, EAM, ERP, Excel, Power BI, PowerPoint, MS Co-Pilot, CMMS

Benefits

Competitive compensation packages
Healthcare insurance premiums (100% paid for by us)
Generous vacation leave entitlement
401K with employer matching contributions
Access to Employee Discount Program via LifeMart

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2d ago

Machine Learning Engineer

Adidev Technologies Inc Seattle, WA

Seattle, WA

2d ago

Full time Ai Ml Artificial Intelligence Automation

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Job Description

Adidev Technologies Inc is looking for a Machine Learning Engineer to help deploy advanced machine learning models with a special focus on Generative AI. You will work from modeling through deployment and monitoring, building AI-driven solutions that translate complex data into practical outcomes.

This is an onsite role in Seattle, WA, with compensation that aligns with experience and market value. The team also supports your move with paid relocation and provides remote assistance even when you are not onsite. There are regular salary reviews tied to your performance and the market. Beyond compensation, Adidev emphasizes long-term growth through structured guidance and project support.

How you’ll guide AI from idea to production

Architect and refine sophisticated ML models and algorithms to convert complex datasets into actionable solutions.
Own the data modeling lifecycle, starting from understanding business requirements through deployment and monitoring.
Perform comprehensive data analysis, including preprocessing, feature engineering, and applying Generative AI algorithms to develop novel solutions.
Lead cross-functional collaboration to integrate Generative AI models into offerings, improving product capabilities and user experiences.
Use advanced analytical techniques to identify trends, anomalies, and opportunities for improvement across large datasets.
Apply data preprocessing, feature engineering, and algorithm optimization to improve both accuracy and efficiency.
Conduct exploratory data analysis to extract insights that influence strategic decisions.
Stay current on ML trends and best practices, including AutoML, MLOps, and interpretability frameworks.
Promote compliance with industry standards and regulatory requirements, with an emphasis on ethical AI.

What you bring

A degree in Computer Science, Engineering, Statistics, or a related technical field.
Demonstrable experience across one or more AI domains such as machine learning, deep learning, NLP, computer vision, and reinforcement learning.
Demonstrable experience with Generative AI models and frameworks used in industry settings, such as GANs or Transformers.
Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
Strong fundamentals in algorithmic complexity and data structure optimization.
Excellent problem-solving, collaboration, and communication skills.
Ability to develop and implement cutting-edge ML models, with a particular focus on Generative AI applications including text generation, image synthesis, and creative AI.
Experience applying the latest research findings in AI, especially in Generative AI, to drive innovation.
Python proficiency and experience with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Strong background in cloud computing and big data platforms (AWS, Azure, GCP), including hands-on work with cloud-based ML services and serverless architectures.
Familiarity with DevOps for AI, including Docker, Kubernetes, CI/CD pipelines, and MLOps.
Ability to facilitate knowledge sharing and best practices in AI/ML, particularly around Generative AI.
Commitment to ethical guidelines and data privacy standards for AI implementations.

Tools you’ll likely work with

Python, TensorFlow, PyTorch, scikit-learn
GANs, Transformers
SQL, NoSQL
AWS, Azure, GCP
Docker, Kubernetes

How Adidev will support your growth

Teaching and Development: guidance to help you grow into a strong consultant delivering high-quality solutions to end clients.
Custom Support: access to multiple teams, including Development Managers and Tech Subject Matter Experts.
Project Placement: a market-expertise team supports you in securing and succeeding in projects with clients.
Career Growth: opportunities to build industry experience and advance your technical journey.

Diversity and equal opportunity

Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. They warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.

How to apply

Submit a comprehensive application including your latest updated resume and a detailed cover letter highlighting your expertise.

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2d ago

Senior Machine Learning Engineer

Qualtrics Seattle, WA

Seattle, WA

2d ago

$178k - $216k/yr Full time Senior Artificial Intelligence Engineer

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Job Description

Qualtrics is hiring a Senior Machine Learning Engineer (hybrid) to advance ML and AI R&D and help personalize the Qualtrics experience using ML/AI features.

Responsibilities

Collaborate with peers to prioritize features and deliver customer value with urgency
Design scalable, robust, highly available microservices for statistical analysis and for building and deploying machine learning models
Implement new capabilities and optimize existing ones to improve customer experience
Apply pragmatic decision-making to solve complex algorithmic challenges efficiently
Work in a multi-disciplinary environment to implement, tune, and productize cutting-edge ML models for a rapidly growing business
Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data
Mentor others and lead collaborative projects to strengthen leadership and guide junior team members
Partner with specialists, tech-ops, and product managers, incorporating feedback into delivered outcomes
Lead and participate in design reviews, architectural discussions, and requirement definitions
Prototype and test approaches quickly for large, complex problems
Stay current with industry trends and academic research to assess new tools, frameworks, and modeling techniques
Attend daily stand-up meetings and coordinate with peers to prioritize work and deliver value to customers

Requirements

Bachelor’s degree in Computer Science or related fields
5 to 8 years of experience as a Machine Learning Engineer with a record of designing, implementing, and optimizing ML models for real-world applications, using frameworks such as TensorFlow or PyTorch
Strong computer science fundamentals in algorithm design, complexity analysis, and performance
Programming experience in at least one modern language such as Java, C#, or Python, including object-oriented design
Experience with applied machine learning models and large-scale ML systems
Excellent problem-solving and analytical skills, including breaking down complex problems into actionable components
Strong communication and collaboration skills for cross-functional teamwork

Technologies

TensorFlow
PyTorch
Java
C#
Python

Benefits

Wellness reimbursement: $300 per quarter for wellness activities (gym memberships, spa massages, workout equipment, meditation apps, and more)
Unlimited sick days
QGroup communities including MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development
Medical, dental, vision, life, and disability
401(k) with match
Paid time off
Wellness reimbursement
Mental health benefits
Sign-on bonus and restricted stock units may be included in an offer

Team & Mission

Data Intelligence Center of Excellence (DICE) provides AI/ML research and development services across product lines
Builds core machine learning infrastructure and services
Accelerates Qualtrics ML adoption by enabling engineering teams to experiment, design, build, monitor, and troubleshoot ML-powered applications using a platform with reusable components, patterns, and standards/best practices
Integrates advanced intelligence into everyday user experiences through close collaboration with product and engineering teams

Hybrid Work Model

In-office: three days per week (Mondays and Thursdays, plus one additional day selected by your organizational leader)
Other days: work where you want and own integration of work and life

Location: Seattle, WA (hybrid)

Annual Salary Range: USD 177,500 - 216,000

Base Pay Transparency (Washington State): $177,500 - $216,000 USD

Minimum Experience: 5 years

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3d ago

Senior Full Stack Agentic AI Engineer

Expedia Seattle, WA

Seattle, WA

3d ago

$185k - $295k/yr Full time Backend Developer Senior Agentic Ai

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Job Description

Join Layla within Expedia Group to build proactive, production-quality agentic AI travel-planning experiences across orchestration, backend services, data/retrieval, and user-facing product surfaces.

Responsibilities

Design, build, and operate agentic AI experiences for travel discovery, itinerary planning, personalization, and booking-related workflows.
Develop reliable agent orchestration patterns, including planning, tool use, routing, state management, memory, retries, guardrails, and human confirmation when appropriate.
Build and evolve backend services, APIs, data models, integrations, and event-driven workflows that connect agent experiences to Expedia Group and Layla capabilities.
Create user-facing experiences that make AI behavior clear, useful, and actionable across web and other relevant product surfaces.
Integrate retrieval, knowledge, and recommendation using data contracts, embeddings, search, ranking, and grounding strategies.
Establish evaluation and observability for agentic systems, covering quality, task completion, latency, cost, safety, failure modes, and user impact.
Own a meaningful product surface end to end: problem framing, solution exploration, implementation, launch, measurement, and iteration.
Turn ambiguous product opportunities into thin, testable increments and ship quickly while maintaining operational and architectural quality.
Partner closely with Product, Design, Data, and Engineering to define success metrics and connect technical decisions to traveler outcomes.
Apply strong engineering practices across testing, CI/CD, observability, security, incident response, and production support.
Use AI-assisted engineering tools to explore designs, accelerate implementation, improve test coverage, and investigate production behavior, while maintaining accountability for shipped code and systems.
Mentor teammates through design reviews, code reviews, documentation, reusable patterns, and hands-on technical leadership.
Improve reliability and observability of multi-step AI workflows so the team can understand quality, failure modes, latency, and cost.
Establish reusable patterns for agent tools, contracts, evaluation, guardrails, and production operations.
Incorporate traveler feedback and experimentation learnings into improved AI experiences.
Increase team delivery safely and quickly via clear architecture, strong engineering practices, and practical AI-assisted development.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.
6+ years of professional software engineering experience delivering production systems end to end.
Demonstrated experience building and operating full-stack applications, with meaningful depth in backend services and modern web or product-facing interfaces.
Professional experience integrating LLMs or AI/ML into production products, workflows, or platforms.
Experience with agentic patterns such as tool-using agents, multi-step workflows, orchestration, RAG, function calling, structured outputs, or human-in-the-loop systems.
Strong programming ability in at least one backend language: Python, Java, Kotlin, Go, or TypeScript, plus experience contributing to a modern frontend stack.
Experience designing APIs, services, data models, integrations, automated tests, and production monitoring.
Ability to communicate technical tradeoffs clearly and collaborate effectively with product, design, data, and engineering partners.

Technologies

Python, Java, Kotlin, Go, TypeScript
LLMs, AI/ML, RAG, function calling, structured outputs
Human-in-the-loop systems
LangGraph, LangChain, LlamaIndex, Semantic Kernel
OpenAI tooling, Anthropic tooling
React, Next.js, GraphQL
FastAPI, REST, event-driven architecture

Location

Seattle, WA (onsite)
Seattle preferred; other locations and employment arrangement to be confirmed

Compensation

USD 184,500 - 295,000 per year
Potential pay increase up to $295,000 based on ongoing, demonstrated, and sustained performance
Seattle total cash range: $184,500.00 - $258,000.00; potential to increase to $295,000.00
Austin total cash range: $184,500.00 - $258,000.00; potential to increase to $295,000.00
Starting pay varies by location, available budget, and individual knowledge, skills, and experience
Pay ranges may be modified in the future

Benefits

Medical/dental/vision
Paid time off
Employee Assistance Program
Wellness & travel reimbursement
Travel discounts
International Airlines Travel Agent (IATAN) membership
Potential pay increase up to $295,000 based on ongoing, demonstrated, and sustained performance

About Layla AI

Layla is an AI-native travel-planning and booking company within Expedia Group’s Product organization.
Team builds conversational experiences to move travelers from inspiration to a complete, bookable itinerary with flights, hotels, activities, and day-by-day plans.
Small, senior team with startup-paced execution.
Engineers are expected to take meaningful ownership, move from ambiguous problem to production, and use data, experimentation, and AI-assisted development practices to improve traveler experience.

Preferred Qualifications

Experience building AI agents or assistants that take actions through tools, APIs, or business workflows (not only conversational responses).
Experience with agent orchestration or evaluation frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, OpenAI or Anthropic tooling, or comparable systems.
Experience with retrieval and knowledge systems: vector search, hybrid search, embeddings, reranking, grounding, and data-quality controls.
Experience with streaming or real-time AI interactions, conversational interfaces, or multi-step user experiences.
Experience with React, TypeScript, Next.js, GraphQL, or comparable frontend technologies.
Experience with Python, FastAPI, Java/Kotlin services, REST or GraphQL APIs, event-driven architecture, and cloud-native systems.
Experience designing agent evaluation frameworks, offline test sets, online monitoring, quality rubrics, or experimentation programs.
Experience building systems with safety, privacy, security, reliability, and responsible-AI considerations.
Experience in travel, commerce, marketplace, recommendations, search, personalization, or other high-scale consumer products.
Experience using AI coding assistants or software-engineering agents to validate, correct, and harden generated output.
Experience working in a startup, incubation, or rapidly evolving product environment.

How the Team Works

Own outcomes with others by starting from the traveler or business problem and working backward to the simplest useful solution, bringing partners in early.
Bring ideas forward by contributing hypotheses, product ideas, and technical possibilities, then testing with users, data, and teammates.
Move quickly with judgment by making progress in ambiguity while being explicit about risks, assumptions, and tradeoffs.
Build for trust so AI behavior is understandable, measurable, recoverable, and appropriately constrained.
Stay hands-on and collaborative, with senior technical ownership and shared expertise.
Learn in public by sharing context, documenting decisions, and creating patterns that help a small team move faster.

If you need an accommodation or adjustment due to a disability during the application or recruiting process, submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .

About Expedia Group

Expedia Group includes Expedia, Hotels.com, and Vrbo, plus a B2B travel business and travel advertising offerings.
Across brands, Expedia Group helps travelers explore the world with confidence and ease.

Important Notice

Employment opportunities and job offers at Expedia Group come from Expedia Group Talent Acquisition and hiring teams.
Never share sensitive personal information unless confident of the recipient.
Expedia Group does not extend job offers via email or messaging tools to individuals with whom there has been no prior contact.
Official place to find and apply: https://careers.expediagroup.com/jobs/ .
Expedia Group email domain is @expediagroup.com.

Equal Opportunity

Committed to an inclusive work environment and a diverse workforce.
All qualified applicants receive consideration without regard to protected characteristics.
Employer participates in E-Verify.
Employer provides I-9 information to SSA and, if necessary, DHS to confirm work authorization.

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3d ago

Data Engineer II, AWS Analytics Engineering

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

3d ago

$132k - $179k/yr Full time 3d Design Tools Amazon Quicksight Amazon Web Services

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Job Description

Own end-to-end analytics for EC2, EBS, and Networking services, powering executive reporting, automated pipeline monitoring, and dashboard experiences.

Responsibilities

Own reliability and timeliness for 200+ data pipelines powering executive-facing reports.
Maintain and extend automated alarms for real-time monitoring of pipeline health.
Use AI-powered agents to self-heal pipeline failures and triage tasks, leveraging Redshift, orchestration frameworks, and AWS data services.
Operate Weekly/Daily Business Review reporting (WBR/DBR) for EC2 services, ensuring accurate, timely delivery to CEO/S-Team and VP-level stakeholders.
Operate and improve report generation, validation, and delivery workflows automated via LLMs.
Generate executive callouts by identifying week-over-week trends, anomalies, and key drivers for 9 services, owning the quality bar for LLM-automated callout generation.
Continuously improve prompt and pipeline accuracy for callout generation across all assigned services.
Ingest new data sources and build metrics for business health including usage, capacity, adoption, and customer growth.
Ensure metrics are sustainable, reproducible, and available on demand using scalable ETL pipelines in Redshift with workflow orchestration.
Conduct deep-dive analyses for Product Managers, Sales, and Finance teams.
Author and maintain governed SOPs and analyses within a proprietary analytics platform that supports stored context and pre-built queries.
Design, build, and maintain interactive dashboards using QuickSight and Weave, covering product trends, customer growth, instance utilization, and feature adoption.
Improve self-serve dashboard capabilities for service areas.
Translate business questions into data products with Product Managers and service finance teams; present findings to senior leaders and serve as the primary analytics point of contact for assigned service areas.

Requirements

3+ years of data engineering experience.
3+ years developing and operating large-scale business intelligence data structures using ETL/ELT processes.
3+ years developing and operating large-scale business intelligence data structures using OLAP technologies.
3+ years developing and operating large-scale business intelligence data structures using data modeling.
3+ years developing and operating large-scale business intelligence data structures using SQL.
3+ years developing and operating large-scale business intelligence data structures using Oracle.
3+ years in the job offered or a related occupation.
1+ years developing and operating large-scale business intelligence data structures using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

Redshift
Orchestration frameworks
AWS data services
ETL, ELT
OLAP
SQL
Oracle
QuickSight
Weave
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM roles and permissions
S3

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments and restricted stock units (RSUs)

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with non-relational databases/data stores including object storage, document or key-value stores, graph databases, and column-family databases.

About the Team

EC2 + Networking Product BI team within AWS Analytics & Engineering (AAE).
Data and analytics partner for Amazon Elastic Compute Cloud (EC2), Networking Services, and adjacent Compute product families, supporting 100+ Product Managers across 11 engagement areas.
ETL Pipeline Monitoring & Operations: build and operate 200+ pipelines ingesting, transforming, and serving petabyte-scale datasets across EC2, Networking, and Compute services; automated alarms for real-time monitoring and AI-powered agents to self-heal failures and triage tasks.
Report Delivery & Callout Generation: deliver WBR/DBR reports across 9 Compute services (EC2 Core, Gen AI, EBS, Bedrock, SageMaker, ECS, EKS, ECR, Lambda); report generation, validation, and callout generation are performed via LLMs.
Data Ingestion & Metric Creation: design and maintain metrics for business health including usage, capacity, adoption, and customer growth, ensuring they are sustainable, reproducible, and available on demand.
Analysis & Deep Dives: produce analyses for Product Managers, Sales, and Finance teams using a proprietary analytics platform with governed SOPs, context, and prior work to support deep dives with governed data, technical depth, and the right queries.