Pricing Analyst

Your Job

Molex is looking for a Pricing Analyst to join our Commercial Excellence Economics team.

As a Pricing Analyst, you will apply statistical modeling concepts to large datasets to provide insights and drive value for the business.

You will design, develop, and deploy custom data-driven applications and tools to automate processes and integrate with down-stream applications.

You will also create visualizations and publish dashboards to effectively communicate results to business users.

You will identify and resolve data quality issues by working with cross-functional teams.

You will also research and apply industry trends, emerging technologies, and best practices in data engineering, data science, and analytics.

What You Will do

The candidate should be able to do the following:


* Analyze pricing, margin, and commercial performance data to generate insights that support decision-making across Product Managers, Segment Leads, and Sales.


* Apply core analytical methods (e.g., regression, trend analysis, segmentation) to identify opportunities and evaluate business performance.


* Create visualizations and publish dashboards to effectively communicate insights and results to business stakeholders.


* Work across multiple internal data sources to assemble reliable datasets that support commercial excellence analysis and reporting.


* Support development of pricing tools, automated reports, and repeatable processes that improve efficiency and consistency.


* Stay current on pricing best practices, competitive trends, and emerging analytical approaches relevant to the role.

Who You Are:

• Data Analysis: R, Python, SQL, or similar

• Data Visualization: PowerBI, Tableau, or similar

• Experience with statistical modeling concepts (regression, time series analysis, clustering, etc.)

• Strong communication and presentation skills

• Ability to work independently and collaboratively in a fast-paced environment

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field

• Relevant work experience in data analysis, data engineering, or data science

For this role, we anticipate paying $70,000-$75,000 per year.

This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds.

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