Owns customer analytics data foundations across North America by building reliable datasets, pipelines, integrations, automated workflows, semantic models, dashboards, and reporting products. Performs customer segmentation, lifecycle, behavioral, and commercial analysis; validates data quality; resolves production issues; and applies automation and AI where valuable. Partners with CRM, e-commerce, retail, customer care, marketing, finance, and technology teams to translate business needs into scalable, maintainable self-service solutions.
Born of a simple gesture in 1976, L’Occitane en Provence reveals the living power of flora, where the light of the sun meets the richness of the earth.
With advanced expertise, we turn these natural treasures into sensorial, efficient experiences, as sustainable as possible and profoundly inspired by Haute Provencal nature.
Our culture is built through everyday moments, how we behave, make decisions and show up for each other.
With Trust as our foundation, Curiosity as our compass, Excellence as our standard, we create lasting Impact for the people around us and our planet.Job SummaryThe Customer Data Analyst owns and strengthens the technical foundation supporting customer analytics across L’OCCITANE North America. The role combines hands-on data development, automation and customer analytics to deliver reliable datasets, workflows, integrations and reporting solutions that improve commercial performance and the customer experience.
This is more than a reporting role. The successful candidate will use strong technical judgment to create simple, reliable and maintainable solutions; enable business users to answer recurring questions through trusted self-service tools; and apply emerging automation and AI capabilities where they create practical business value.
The role partners closely with CRM, E-commerce, Retail, Customer Care and other teams. It requires curiosity, independent problem solving and proactive communication of progress, risks, dependencies and business impact. The right person translates technical work into clear language and turns new ideas into useful, scalable capabilities without introducing unnecessary complexity.Key ResponsibilitiesCustomer & Commercial Analytics
With advanced expertise, we turn these natural treasures into sensorial, efficient experiences, as sustainable as possible and profoundly inspired by Haute Provencal nature.
Our culture is built through everyday moments, how we behave, make decisions and show up for each other.
With Trust as our foundation, Curiosity as our compass, Excellence as our standard, we create lasting Impact for the people around us and our planet.Job SummaryThe Customer Data Analyst owns and strengthens the technical foundation supporting customer analytics across L’OCCITANE North America. The role combines hands-on data development, automation and customer analytics to deliver reliable datasets, workflows, integrations and reporting solutions that improve commercial performance and the customer experience.
This is more than a reporting role. The successful candidate will use strong technical judgment to create simple, reliable and maintainable solutions; enable business users to answer recurring questions through trusted self-service tools; and apply emerging automation and AI capabilities where they create practical business value.
The role partners closely with CRM, E-commerce, Retail, Customer Care and other teams. It requires curiosity, independent problem solving and proactive communication of progress, risks, dependencies and business impact. The right person translates technical work into clear language and turns new ideas into useful, scalable capabilities without introducing unnecessary complexity.Key ResponsibilitiesCustomer & Commercial Analytics
- Conduct deeper analysis when questions require advanced data manipulation, specialized customer-data knowledge or cross-channel interpretation, and provide teams with actionable customer intelligence.
- Translate complex findings into clear business implications, recommendations and actions, not simply reports.
- Identify meaningful trends, anomalies and opportunities while keeping the focus on decisions and measurable business value.
- Support customer segmentation, CRM targeting, lifecycle analysis and customer-behavior analysis across channels and markets.
- Validate analytical outputs for accuracy, consistency and appropriate use of customer information.
- Build, maintain and improve customer-data pipelines, transformations and automated workflows using SQL, Python and appropriate workflow tools.
- Develop reusable, well-structured datasets in Snowflake or comparable cloud data platforms for analytics, CRM and reporting use cases.
- Integrate internal and external data through APIs, JSON, SFTP, scheduled files and other appropriate methods.
- Monitor production processes and proactively resolve failures, data-quality issues and upstream or downstream dependencies.
- Design for maintainability by reusing existing assets where practical, avoiding unnecessary tables or pipelines, and documenting technical decisions and support requirements.
- Partner with Technology/IT and central teams on data access, infrastructure, security and platform dependencies.
- Identify repetitive, manual or low-value activities and challenge whether they should continue in their current form.
- Apply a simplify-first mindset by removing unnecessary steps and complexity before automating work.
- Design reusable workflows and automation that make recurring analysis faster, more reliable and easier to maintain.
- Explore and responsibly apply AI capabilities to customer analytics, segmentation, Voice-of-Customer analysis, reporting and other relevant business problems.
- Experiment with new technologies, evaluate their usefulness and turn successful experiments into practical capabilities that can benefit the broader organization.
- Develop and maintain trusted semantic models, dashboards, recurring reporting and analytical products using Microsoft Power BI and other appropriate tools.
- Create standardized, reusable data products that reduce repeated manual extracts, recurring reporting and low-value ad hoc requests.
- Help develop Customer 360 and customer-journey views that connect customer behavior across channels and activities.
- Maintain clear documentation of data sources, KPI definitions, transformations, workflow dependencies, validation steps and troubleshooting procedures.
- Assess whether work should be simplified, automated, transferred to self-service or stopped before building a new solution.
- Partner with CRM, E-commerce, Retail, Customer Care, Marketing, Finance and technical teams to understand the decision behind a request and translate business needs into practical solutions.
- Proactively communicate status, risks, blockers, dependencies, trade-offs and expected resolution dates so stakeholders are not surprised by gaps or delays.
- Explain technical processes, limitations and recommendations clearly to technical and non-technical audiences.
- Constructively challenge requests when a simpler, more reusable or higher-value approach is available.
- Share knowledge, documentation and reusable solutions so critical processes do not depend on one person.
- Strong SQL skills, including complex transformations, joins, data validation, performance troubleshooting and reusable logic.
- Hands-on Python experience for data processing, automation, integration or analytical applications.
- Experience with Snowflake or another modern cloud data warehouse.
- Experience building and supporting data pipelines, automated analytical processes or production workflows.
- Experience working with APIs, JSON and file-based integrations such as SFTP.
- Experience with Microsoft Power BI or a comparable business-intelligence platform, including data modeling and dashboard development.
- Strong debugging and root-cause analysis skills, with the ability to independently own an issue through resolution.
- Clear, proactive written and verbal communication across technical and business teams.
- Sound analytical judgment and the ability to connect technical outputs to customer, commercial or operational decisions.
- Experience with customer, CRM, retail, E-commerce, and marketing data.
- Experience with customer segmentation, campaign audiences, triggered communications or customer-journey analysis.
- Experience with KNIME or another low-code workflow and orchestration platform.
- Experience with Git or another version-control tool.
- Familiarity with AI-assisted analytical tools and responsible use of customer data.
- Experience creating self-service data products or analytical applications for business users.
- Ownership. You independently own the technical work and its operational reliability. You raise issues early, explain the impact and drive resolution.
- Curiosity. You ask why, learn unfamiliar tools and business processes quickly, and investigate what does not make sense.
- Pragmatism. You can build sophisticated solutions, but choose the simplest approach that reliably solves the problem and can be maintained.
- Simplification. You reduce unnecessary steps before automating and challenge work that no longer provides enough value to continue.
- Business orientation. Technology is a means, not the outcome. You measure success through adoption, reliability, efficiency, customer experience and commercial value.
- Communication. You provide context, status and risks frequently enough that partners are not surprised.
- Collaboration. You work transparently across teams, document decisions and build solutions that others can understand and support.
What We Offer
Generous employee discount to use on all your favorite L’Occitane en Provence product. The compensation for this role ranges from $75,000.00 - $85,000.00. Exact compensation will vary based on factors including but not limited to, experience, skills, and geographic location. L'Occitane en Provence offers a competitive compensation package and a comprehensive benefits package. L’Occitane en Provence is an equal opportunities employer. One way we act on this is by continuously fostering a more diverse and inclusive workplace and organizational culture. We are committed to building an environment that is free from discrimination and harassment, where everyone feels respected, valued, and able to grow. We seek positive-minded individuals who embody our core behaviors — Trust, Curiosity, Excellence, Impact — and who share our commitment to sustainability.
We welcome applications from people of all genders, ages, sexual orientations, ethnicities, background, religions, beliefs, ability statuses, and all other dimensions of diversity. Employment may be subject to verification of references and background check investigation.
If you believe your profile is a good match for this position, we invite you to apply even if you don’t fulfil every single listed qualification.
We welcome applications from people of all genders, ages, sexual orientations, ethnicities, background, religions, beliefs, ability statuses, and all other dimensions of diversity. Employment may be subject to verification of references and background check investigation.
If you believe your profile is a good match for this position, we invite you to apply even if you don’t fulfil every single listed qualification.
L'Occitane En Provence New York, New York, USA Office
New York, NY, United States
Similar Jobs
Hardware • Security • Software • Cybersecurity
Analyze customer lifecycle and Customer Success data to measure attribution, campaign performance, product adoption, retention, and revenue impact. Build multi-touch attribution models, integrate digital engagement data with Gainsight and CRM events, clean and unify datasets, segment audiences, identify journey bottlenecks, and create Tableau or Looker dashboards. Partner with Campaign Strategy, Product Insights, and CS Operations teams to deliver actionable recommendations and improve automated and human customer interventions.
Top Skills:
BigQueryChatgptClaudeCopilotGainsightHubspotLookerPower BIPythonRRedshiftSalesforceSnowflakeSQLTableau
Healthtech • HR Tech • Software
Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.
Top Skills:
AWSDbtPythonRelational DatabasesSQLVersion Control
HR Tech
The Customer Analyst will own analytics initiatives, maximize sales through analytics, plan production, and collaborate cross-functionally to improve customer outcomes.
Top Skills:
Data Visualization ToolsExcelGoogle SheetsSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
