Company Overview
McMaster-Carr is a leading e-commerce company offering over half a million products that help businesses stay up and running. Our success is driven by a culture of innovation, experimentation, and a passion for creative problem-solving. Whether it’s streamlining distribution operations, researching cutting-edge products, or enhancing our digital platforms, we foster an environment where curiosity and ambitious thinking thrive.
At McMaster-Carr, we value people for their potential as much as their experience. We hire for capability, championing diverse backgrounds, studies, and perspectives. Our commitment to an inclusive workplace is reflected in how we build our teams and the resources we provide on-site.
Ultimately, McMaster-Carr is in the business of delivering convenience. Through collaboration across product development, publishing, technology, sales, and distribution, we empower our customers to design, build, operate, and repair almost anything with ease.
What You’ll Be Doing
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Develop data-driven business solutions that align with company strategy and address customer needs, informed by thorough analysis and research.
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Build reports and dashboards to track customer impact and operational performance.
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Write clean, well-documented queries to extract and analyze data effectively.
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Conduct in-depth analyses of customer behavior data to identify trends and uncover actionable opportunities.
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Assess and recommend solutions that empower teams to solve challenges not addressed by current tools and help optimize business efforts to maximize customer value.
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Validate the influence of key metrics on long-term business objectives through statistically sound methods.
What We Look For
At McMaster-Carr, we encourage applicants from all backgrounds to apply, even if you don’t meet every qualification. We’re eager to hear about your unique experiences.
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Strong analytical and critical thinking skills.
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Proven ability and passion for using data to inform business decisions.
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Proficiency in SQL, Python, and Microsoft Office tools.
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Experience writing clean, well-structured, and well-documented code.
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1-2 years of professional experience in fields such as analytics, data science, or related areas.
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Familiarity with at least one or two statistical analysis methods, such as decision trees, clustering, A/B testing, or regression models.
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Preferred: Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Quantitative Social Sciences, or a related discipline.
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Preferred: Exposure to technologies such as HTML, JavaScript, Neo4j, NumPy, and pandas.
Be Rewarded
Compensation typically ranges from $144,000 to $166,500, including profit sharing based on company performance. Exact compensation will be based on your skills and experience. In addition to your base salary, you’ll also benefit from company-funded retirement contributions.
We are proud to offer a comprehensive benefits package for employees and their dependents, including:
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No-cost premiums for medical, dental, pharmacy, and vision coverage for employees, spouses, and dependents.
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100% tuition reimbursement for employees.
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Assistance for first-time homebuyers.
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College tuition assistance for dependents.
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Generous paid time off for vacation and personal days.