Quicken Loans is looking for a Senior Data Analyst - People Analytics to specialize in collecting, organizing, and analyzing data from various sources. You will turn numbers into context and strategic recommendations, painting a picture of how the business operates using advanced data analysis techniques. Your work will integrate and transform data to streamline processes and inform decision-making.

What You'll Do

Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics, and data visualization.
Present complex analytical findings and strategic recommendations to senior leadership.
Drive executive alignment by translating ambiguous business challenges into structured analytical insights.
Lead design and validation for all phases of research projects, including presentation of results.
Maintain relationships and alignment among stakeholders to meet objectives.
Define, gather, and validate project data requirements and evaluate data quality.
Evaluate the quality of organizational data sources.
Create and support business intelligence tools, databases, dashboards, reports, or methods.
Document technical design standards for reporting solutions.
Identify, document, and use exploratory data analysis to investigate assumptions.
Identify and analyze relevant, external data to monitor the competitive environment.
Stay informed of industry or business trends that pertain to data.
Mentor teammates.

What We're Looking For

Bachelor’s degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, engineering, or a related field.
4 years of experience or equivalent competency identifying business problems, conducting data experiments, performing statistical analysis, and synthesizing findings to guide business decisions.
Experience leading end-to-end data analysis projects resulting in positive business changes.
Expertise creating data visualizations using modern business intelligence (BI) tools.
Proficiency with industry-standard statistical analysis tools, such as SAS, R, or Python.
Experience training and mentoring peers.
Experience creating data sets with advanced SQL or other querying languages and using them to develop business strategies.
Experience researching data lineage.
Advanced practical knowledge of standard statistical measures, probability theory, and both qualitative and quantitative techniques.
Experience working with data warehouses.
Experience data mining or using other exploratory techniques.
Experience working with structured and unstructured data.
Experience writing software functions to support data analysis.
Experience contributing to standards and processes that increase efficiency and impact.
Conceptual knowledge of logical and physical data models.
Domain knowledge of multiple business areas.

Nice to Have

Comprehensive knowledge of the Human Resources business area and its data, including industry or other external sources.
Experience in several business areas and familiarity with associated data.
Conceptual knowledge of big data, machine learning, or data science.

Technical Stack

SAS
R
Python
SQL
Business Intelligence (BI) tools

Benefits & Compensation

Salary range: $81,000.00 - $181,500.00

Work Mode

This position is open to candidates based in Illinois, Maryland, Minnesota, Massachusetts, Colorado, Cleveland, New York City, New Jersey, Jersey City, California, D.C., or Washington.

Quicken Loans is committed to an inclusive workplace where every voice is heard. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law.