The Analytics Intern is responsible for analyzing related quality control testing to products and building models to monitor.

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This position reports to the Manager-Business Analytics and is part of the Pricing and Analytics Team located in Logan, UT and will be an on-site role.

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What you will do:

Modeling pricing and costing data to find relevant trends.
Build reports to better understand market insights.
Analyze raw material testing cost and batch sizing.

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Who you are:

Junior or senior working towards a bachelor’s degree in data analytics, finance, economics, statistics, business, or related field.

Strong analytical and problem-solving skills.

Excellent communication and interpersonal abilities.

Proficiency in Microsoft Excel and other data analysis tools.

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It would be a plus if you also possess previous experience in:

Experience in SQL, Qlik, Tableau, Python and Power BI

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About the company

Danaher

Company overview

Danaher is a global life sciences and diagnostics group that owns a portfolio of operating companies serving labs, biopharma manufacturers, and healthcare providers. Danaher’s businesses sell instruments, consumables, and software used in research, bioprocessing, and clinical testing. Danaher also runs the Danaher Business System, a company-wide continuous improvement approach that shows up in how teams run projects and develop leaders. Danaher recruits across functions including engineering, commercial, operations, R&D, and corporate roles.

Locations and presence

Danaher is headquartered in Washington, DC and states that Danaher’s businesses operate in 50 countries across around 700 locations. Early-career roles are typically tied to specific operating companies and sites, so on-site and hybrid expectations vary by team and location.

Palpable Score

79.2

/ 100

Danaher offers broad early-career access through a structured internship program, a freshman early-identification pathway, and a steady stream of “Associate” entry roles across commercial and scientific functions. Danaher also publishes a clear candidate journey with timelines, and pay transparency is strong in many North America postings, but the early-career story is harder to judge in regions where pay ranges and outcomes data are not consistently public.

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