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# Lead Research & Data Analyst

- **Company:** Hispanic Technology Executive Council
- **Location:** Milwaukee, WI, United States
- **Experience:** Expert
- **Salary:** $97,930.0 - $181,870.0
- **Contract:** Permanent contract
- **Skills:** Databases, Python (Programming Language), Microsoft PowerPoint, SQL Databases, Data Analytics, Data Pipelines
- **Published:** October 18, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/75260378/1

## About the Role

* Undergraduate degree in an analytics / quantitative field such as: Applied Mathematics, Statistics, Economics, or related analytical field of study or equivalent combination of training and experience. A graduate level degree in an analytics-focused field is strongly preferred.
 * Minimum three years of hands-on experience with data analytics
 * Intermediate proficiency with SQL and R/Python- assessment required
 * Outstanding communication skills with experience packaging and delivering stories in Powerpoint.
 * Comfort with ambiguity
 * Experience with consumer / client / market research is preferred

## Description

The Lead Research & Data Analyst will use data analytics to impact strategic work streams by answering questions that have significant influence on the near and long-term success of Northwestern Mutual. The individual will use client insights, captured via research and statistical analyses, to inform initiatives that will deliver a more delightful client experience. A blend of analytical prowess, discernment, curiosity and strong communication / interpersonal skills are important for success in this role.

What you'll be doing:

 * Leverage NM databases and external data sources to generate insights about NM clients and core consumers to identify new opportunities for the company
 * Structure and complete primary research required to solidify strategic recommendations.
 * Synthesize existing research findings and make recommendations
 * Develop and maintain automated data pipelines for real-time analysis
 * Work in an ambiguous environment and adapt quickly to change
 * Tell compelling stories with data and influence company's strategy