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Sr. Data Analyst
Sr. Data AnalystFluidra • Carlsbad, California
Sr. Data Analyst

Sr. Data Analyst

Fluidra • Carlsbad, California
[job_card.variable_days_ago]
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  • [job_card.full_time]
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Description

Fluidra is looking for a  Senior Data Analyst to join our team in Carlsbad, CA . WHAT YOU WILL CONTRIBUTE The Senior Data Analyst reports to the EVP of Manufacturing, Operations & Supply Chain and is responsible for turning operational data into actionable business insights across Fluidra’s North American operations. This is a business-facing role focused on analysis, interpretation, and executive communication rather than building data infrastructure.Leveraging an established SQL Server environment and support from technical resources, the role delivers executive-ready dashboards, predictive models, and AI-driven insights to improve forecasting, inventory health, and overall supply chain performance. The position operates with high autonomy and ownership and works closely with executive leadership, plant managers, supply chain teams, and the corporate Data & Analytics group. Additionally, you will :   Business Analytics & Executive Communication

  • 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.

Advanced Analytics, Predictive Modeling & AI

  • 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.

    • Manufacturing & Operations Analytics

  • 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.

    • Supply Chain, Logistics & Distribution Analytics

  • 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.

    • Demand, Forecasting & S&OP Support

  • 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.

    • Data Infrastructure & Tools

  • 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.

    • Cross-Functional Collaboration

  • 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.

    • WHAT WE SEEK

  • 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.
  • Experience analyzing freight, distribution, or transportation costs strongly preferred.
  • Demonstrated ability to present to and influence senior executives.
  • Experience coordinating business reviews or analytical discussions with cross-functional

    • stakeholders.

  • Technical Skills
  • 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.
  • Familiarity with Snowflake is a plus.
  • Business & Communication Skills
  • 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.

    • EDUCATION Bachelor’s degree in Data Science, Analytics, Business, Engineering, Statistics, Supply Chain, or a related field is required. Master’s degree or MBA is a plus. WHAT WE OFFER  An exciting opportunity to dive in and begin your career with a company that offers a competitive total rewards package that includes :

  • 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
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