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Zurn Elkay Water Solutions

Lead Data & BI Scientist

Zurn Elkay Water Solutions, Downers Grove, Illinois, United States, 60516

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Job Description The Lead Data & BI Scientist is a senior-level role that blends advanced data science capabilities with business intelligence leadership. This position is responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across departments such as sales, marketing, pricing, manufacturing, logistics, supply chain, and finance. The role requires both technical depth and business acumen to ensure that data-driven solutions are aligned with organizational goals and deliver measurable value.

Key Accountabilities

Strategic Insight & Business Partnership

Partner with business leaders to identify high-impact opportunities and form hypotheses.

Present findings and recommendations to leadership in a clear, impactful manner.

Demonstrate ROI and business value from analytics initiatives.

Data Science Leadership

Define and implement data science processes, tools, and governance frameworks.

Mentor junior team members and foster a culture of continuous learning.

Advanced Analytics & Modeling

Design, build and validate predictive models, machine learning algorithms and statistical analyses.

Translate complex data into actionable insights for strategic decision-making.

Technology & Tools

Utilize tools such as Tableau, Power BI, OBIEE/OAC, Snowflake, SQL, R, Python, and data catalogs.

Stay current with emerging technologies like agentic analytics and AI-driven insights.

Evaluate and recommend BI platforms and data science tools.

Project & Change Management

Manage analytics projects from inception to delivery.

Provide training and change management support for new tools and processes.

Lead the establishment of a data science center of excellence.

Qualifications/Requirements

Bachelor degree required, in a quantitative field such as engineering, mathematics, science, and/or MIS. Master degree preferred

10+ years of overall work experience

7+ years of experience in data science and statistical analysis

Strong understanding and experience with analytics tools such as Tableau and OBIEE/OAC (or similar tools) for reporting and visualization, Snowflake for data storage, data modeling, data prep or ETL tools, R or Python, SQL, and data catalogs

Strong understanding and experience with multiple statistical and quantitative models and techniques such as predictive analytics, machine learning, AI, linear models and optimization, clustering, and decision trees

Deep experience applying data science to solve problems in at least one of the following areas is required. Experience in multiple areas is preferred: marketing, manufacturing, pricing, logistics, sourcing, and sales

Strong communication (verbal, written) skills, and ability to work with all levels of the organization effectively

Working knowledge of and proven experience applying project management tools

Strong analytical skills

Ability to lead and mentor the work of others

High degree of creativity and latitude is expected

Capabilities And Success Factors

Decision Quality – Making good and timely decisions that keep the organization moving forward.

Manages Complexity – Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems.

Plans & Aligns – Planning and prioritizing work to meet commitments aligned with organizational goals.

Drives Results – Consistently achieving results, even under tough circumstances.

Collaborates – Building partnerships and working collaboratively with others to meet shared objectives.

Total Rewards and Benefits

Competitive Salary

Medical, Dental, Vision, STD, LTD, AD&D, and Life Insurance

Matching 401(k) Contribution

Health Savings Account

Up to 3 weeks starting Vacation (may increase with tenure)

12 Paid Holidays

Annual Bonus Eligibility

Educational Reimbursement

Matching Gift Program

Employee Stock Purchase Plan – purchase company stock at a discount!

THIRD PARTY AGENCY:

Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions.

Equal Opportunity Employer – Minority/Female/Disability/Veteran

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Wholesale Building Materials

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