Pixiandpop
AI Analyst (LA)
Los Angeles, California
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →hirly's read of this role
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
AI Analyst — Business Transformation
- Location: Los Angeles
- Working pattern: Full-time, five days per week in the Pixi LA office
About Pixi
Pixi is a global beauty brand known for innovative skincare and colour cosmetics that enhance natural beauty. Founded in London, Pixi now operates across international retail, ecommerce and marketplace channels.
We are building practical AI capabilities across the business to improve how our teams work, make decisions and serve customers.
The Role
The AI Analyst will turn business problems into practical, reliable solutions.
This is not a role focused only on building bots. You will work directly with teams across Finance, Operations, Marketing, Sales and Marketplace to understand how work is completed, improve the underlying data and develop AI-enabled workflows that deliver measurable value.
The role combines four capabilities:
Functional business understanding
Problem solving and team enablement
Data management and reporting
Practical AI and automation development
You will be expected to move comfortably between understanding a business problem, working directly with its users, preparing messy data and building or improving the technical solution.
What You’ll Own
1. Business Analysis and Solution Design
Partner with Finance, Operations, Marketing, Sales and Marketplace teams to understand their processes, systems and business requirements
Translate unclear or complex problems into structured requirements, proposed solutions and measurable outcomes
Map current workflows, identify root causes and distinguish between a quick fix, a repeatable workflow and a larger roadmap opportunity
Define the business rules, exceptions, approvals and controls required before development begins
Prioritise work based on business value, effort, risk and scalability
2. Problem Solving and Business Enablement
Work directly with teams to solve practical problems involving Excel, data, reporting, AI tools and repetitive workflows
Help establish regular AI office hours where employees can bring problems for assessment and support
Train employees to use new AI tools and workflows confidently
Identify recurring themes from individual requests and recommend opportunities for wider automation
Create clear SOPs, user guides, walkthroughs and handover materials
Report emerging opportunities, recurring issues and adoption barriers to the AI Transformation team
3. Data Management and Reporting
Clean, reconcile and structure data from multiple business systems and spreadsheets
Create repeatable processes for data preparation, validation, transformation and reporting
Document business definitions, field mappings, calculations and data lineage
Develop dashboards and reporting tools that provide clear, trusted information
Introduce data-quality checks that identify missing, duplicated or inconsistent information
Support the development of shared datasets and the longer-term foundation for Pixi’s data environment
Ensure workflows have appropriate audit trails, version control and ownership
4. AI and Automation Development
Design, build and deploy AI-enabled workflows using LLMs, developer CLI tools, APIs, MCP and automation platforms
Connect systems including ERP, ecommerce, CRM, customer service and reporting platforms
Decide where to use AI, deterministic rules or human review based on the accuracy and risk required
Build headless and scheduled workflows where appropriate
Develop testing plans covering accuracy, exceptions, regressions and failure handling
Monitor live workflows and improve them based on performance and user feedback
Apply appropriate privacy, security and access controls
What Success Looks Like
Business problems are translated into clear, practical solutions
Delivered workflows are adopted by their intended users and produce measurable improvements in time, accuracy, cost or decision-making
Data and reporting processes become cleaner, more reliable and easier to repeat
Solutions include documented logic, controls, ownership and handover materials
Small employee requests generate both immediate value and insight into larger opportunities
AI is applied where it adds value rather than added unnecessarily
Business teams become more capable and confident in using AI effectively
Who You Are
You have 2–3 years of experience in business analysis, data analysis, automation, technical operations or AI workflow development
You understand how business functions operate and can learn unfamiliar processes quickly
You have strong Excel skills and practical experience cleaning and reconciling messy datasets
You can use SQL and ideally Python or another scripting language to analyse or transform data
You have worked with APIs, JSON, developer tools and automation platforms such as n8n, Make, Zapier, UiPath or similar
You have practical experience using or integrating LLMs such as OpenAI, Claude or equivalent
You can explain technical concepts clearly to non-technical users
You are comfortable training colleagues and working directly with teams to solve day-to-day problems
You document your work carefully and pay close attention to detail
You take ownership from initial problem definition through testing, launch and adoption
You know when to ask questions, challenge an assumption or recommend a simpler solution
Helpful Experience
Experience with NetSuite, Shopify, Kustomer or other ERP, ecommerce, CRM or customer service systems
Experience in retail, beauty, consumer goods, ecommerce or marketplace businesses
Experience developing dashboards or working with data warehouses
Familiarity with Git, cloud platforms, data governance or Lean/Six Sigma methods
How We Work
Pixi is entrepreneurial, fast-moving and hands-on. We value people who combine curiosity with execution, communicate clearly and take responsibility for delivering useful results.
This role offers the opportunity to help shape how AI, data and automation are used across a growing global beauty business.
Similar jobs
- Applied AI Analyst - Flexible HoursInnodata Inc. · Remote - Maryland First seen yesterdayremote
- Data & AI AnalystMoab · New York City First seen 2d ago
- Forward Deployed AI AnalystMakai Labs · New YorkFirst seen 2d agoremote
- AI AnalystStanford University · Redwood City, CA, United StatesFirst seen 3d ago
- AI Analyst - Dallas, TXPhoton · United StatesFirst seen 3d ago
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job