Fluidra North America · 23 hours ago
Sr. Data Analyst
Carlsbad, CA
Full-time
Hybrid
Mid, Senior Level
$92K/yr - $96K/yr
7+ years expFluidra North America is looking for a Senior Data Analyst to join their team. The role focuses on turning operational data into actionable insights to improve supply chain performance and requires strong analytical skills along with executive communication abilities.
Consumer GoodsManufacturingWater
Responsibilities
Coordinate and partner with Plant Managers and Supply Chain leaders on analytical reviews and monthly/quarterly business reviews
Transform complex operational data into compelling executive presentations with clear narratives and actionable recommendations
Challenge assumptions and bring a business mindset to data interpretation — not just report what happened, but explain why and what to do next
Develop and manage executive dashboards covering manufacturing throughput, conversion productivity, cost efficiency, inventory health, booking/shipping/backlog, fill rate, OTIF, and logistics KPIs
Serve as the analytical voice in leadership meetings, driving decisions through data
Leverage existing SQL Server infrastructure to build predictive models for demand, inventory, freight, capacity planning, and cost to serve
Conduct scenario modeling to quantify cost–service–risk trade-offs and support strategic decisions
Use AI/ML and automation to streamline recurring reporting and improve analytical speed and accuracy
Identify anomalies, emerging risks, and improvement opportunities across the supply chain
Partner with Plant Managers to analyze and improve Conversion Productivity, OEE, labor efficiency, scrap and yield variances, throughput stability, and service levels
Lead analytical deep dives to understand root causes of excess & obsolete inventory and operational inefficiencies
Support productivity initiatives through robust data analysis, financial modeling, and operational insights
Present findings to plant leadership with clear recommendations and follow-up actions
Analyze freight and transportation costs (carriers, lanes, modes), identify savings, and support contract decisions
Track distribution performance: cost per unit/order, carrier reliability, on-time delivery, and network flow
Support Distribution Centers with labor analytics, warehouse productivity models, and space optimization
Build total landed cost models by SKU, channel, and region
Measure forecast accuracy (MAPE, bias, error decomposition) and identify drivers of variance
Analyze seasonal demand patterns and support capacity/inventory positioning strategies
Partner with the Demand and Supply Planning teams to design and deliver monthly Demand reporting
Strengthen S&OP through consistent KPI reporting and data harmonization
Support working capital optimization through inventory analytics
Leverage and enhance existing SQL Server databases and data models
Design and maintain Power BI and Tableau dashboards used by leadership and operational teams
Work with the technical team to integrate data across ERP (Oracle, Epicor), WMS, and TMS environments
Develop Python scripts for automation, advanced analytics, and machine learning applications
Serve as an analytical partner to Operations, Finance, Supply Chain, IT, and Distribution leaders
Coordinate with the corporate Data & Analytics team on technical requirements and data governance
Ensure KPI alignment and data consistency across functions and systems
Train operational teams on self-service analytics tools and build data literacy
Qualification
Required
7+ years in data analytics, business intelligence, or advanced analytics
Proven experience with manufacturing, supply chain, logistics, or operations datasets
Hands-on experience applying predictive modeling / machine learning to real operational scenarios
Demonstrated ability to present to and influence senior executives
Experience coordinating business reviews or analytical discussions with cross-functional stakeholders
Advanced SQL for data extraction, modeling, and analysis
Expert proficiency in Power BI (required); Tableau experience is a plus
Strong Python skills (automation, analytics, ML)
Solid foundation in statistics, forecasting, and optimization techniques
Experience with ERPs (Oracle, Epicor, SAP), WMS, and TMS data flows
Exceptional presentation and storytelling skills
Ability to simplify complex data for non-technical stakeholders
Strong business acumen — understands how operations, supply chain, and finance connect
Comfortable coordinating meetings and driving decisions through data
Ability to thrive in a fast-paced, demanding environment while adapting to shifting priorities
Approachable, professional, and positive attitude that fosters effective relationships across all levels
Self-starter capable of working independently with minimal supervision
Bachelor's degree in Data Science, Analytics, Business, Engineering, Statistics, Supply Chain, or a related field is required
Preferred
Experience analyzing freight, distribution, or transportation costs strongly preferred
Master's degree or MBA is a plus
Familiarity with Snowflake is a plus
Benefits
Flexible vacation
9/80 work week schedule (EVERY OTHER FRIDAY OFF!) with subsequent Fridays WFH
11 paid Holidays
Full range of health benefits including medical, dental & vision, short & long-term disability
401(K) matching (100% of first 3% contributed, 50% of the next 2%)
Health and wellness programs / gym reimbursement
Educational assistance up to $7,000 per year
On-site self-service café / free gourmet coffee stations
Company sponsored FUN events!
Generous product discounts
Company
Fluidra North America
Fluidra is a publicly listed company focused on developing innovative products, services and IoT solutions for the residential and commercial pool markets, globally.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Christina Kim, CSP
HSE US Business Partner
Julie Welch
Human Resources Business Partner
Recent News
EIN Presswire
2025-01-28
Company data provided by crunchbase