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Manager, Data Science and Analytics

Job in Sandy Springs, Fulton County, Georgia, USA
Listing for: KIK
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

We Create Products and Brands That People Trust to Clean, Sanitize, and Protect Their Homes and Pools

When you join KIK Consumer Products, you’re joining a team that cares about the work we do and also about each other. We bring exceptional brands and products to consumers that help them protect the health and wellness of their families and the cleanliness of their homes and pools. We are committed to building a culture of performance driven by accountability, collaboration, and agility that enables timely fact-based decision-making and exceptional execution with unwavering ethics.

As one of North America’s largest independent manufacturers of consumer products, KIK helps a large portfolio of brands and retailers bring their products to life.

Your Role at KIK

The KIK Household division is seeking an experienced Manager, Operations Analytics to support our manufacturing and supply chain organizations. This role reports to the VP, Supply Chain and partners cross-functionally to transform complex data into actionable insights that enable both real-time and trend-based decision making. The Manager, Data Science and Analytics will serve not only as an analytics expert, but also as a translator of data and a problem solver who helps drive operational performance.

What

You’ll Do Manufacturing Performance Analytics
  • Integrate and harmonize data from ERP systems, supply chain reporting, plant systems, and other sources to create a clean dataset for tracking manufacturing performance.
  • Develop, maintain, and publish clear, user-friendly dashboards and visualizations using KIK’s analytics tools (., Qlik, Power BI) to represent manufacturing and end-to-end supply chain performance (demand through supply).
  • Apply AI and process automation tools to enhance analytics capabilities and support the Household (HH) manufacturing organization’s objectives.
  • Partner closely with the VP of Manufacturing to ensure visibility into key data and insights and to address critical plant performance questions.
  • Support Workstream Leaders with analytical needs, including sourcing and cleaning data, conducting analysis, and developing new data views to answer business questions.
  • Track performance of key initiatives across work streams, quantify pre- and post-initiative results, and identify root causes when expected improvements are not achieved.
  • Ensure Maestro reporting accurately reflects program performance and escalate exceptions to leadership.
  • Collaborate with the Maestro team to develop and refine dashboards that support data-driven decision-making.
  • Assist Workstream Leads and Initiative Owners with Maestro questions and troubleshooting.
  • Partner with KIK IT to extract data and develop structured data repositories to support reporting and analytics.
  • Train KIK associates on dashboard usage and navigation to drive adoption and effective utilization.
Review Cadence & Leadership Support
  • Automate reporting used in daily, weekly, and monthly operational reviews.
  • Participate in plant and manufacturing project meetings; document actions and update the Maestro tool with new reporting requests, data initiatives, and follow-ups.
  • Act as a data-driven thought partner to the Household business unit to solve operational problems efficiently.
  • Collaborate with the VP of Supply Chain and Senior Manager of Operational Excellence to prepare materials and talking points for bi-monthly Steering Committee meetings, Household leadership updates, town halls, and other organizational communications.
What You’ll Bring
  • Bachelor’s degree required;
    Master’s degree preferred
  • Data analytics certifications preferred
  • A minimum of 5 years of data science and analytics experience
  • Strong organization, interpersonal and presentation skills, and a history of success supporting complex projects
  • Experience building and delivering senior level, complex data visualization and KPI tracking
  • Proven experience translating data into actionable business insights
  • Experience partnering with cross functional teams and senior leadership
  • Experience working with large datasets and multiple data sources
  • Ability to identify trends, root causes, and performance drivers
  • Strong problem solving and…
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