Data Analyst

Rocket Mortgage•Detroit, MI

About The Position

As a Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with our Senior Data Analyst leadership to support operations, call center, and servicing reporting needs, ultimately enabling our team leaders to make data-driven decisions that enhance efficiency and performance. You'll use a range of tools and methodologies, including statistics, technical expertise, and modern data platforms, to generate actionable insights and identify opportunities for continuous improvement. As a storyteller, you'll collect data from various sources to guide strategic decisions and support our transition to advanced analytics platforms.

Requirements

Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field
3+ years of experience using SQL or other querying languages to create and analyze data sets in a business setting
Experience creating KPIs/metrics around operational performance, team efficiency, and business health
Experience creating dashboards, reports, and data visualization tools
Experience executing end-to-end data analysis projects in a business environment
Experience using data to tell stories tailored to different audiences
Working knowledge of standard statistical measures, probability theory, and both qualitative and quantitative techniques
Conceptual knowledge of software programming fundamentals

Nice To Haves

Domain expertise in operations/call center reporting and supporting operations teams with collections and call center activity metrics
Exceptional communication skills and ability to translate complex data into clear, actionable insights for business leaders
Proven track record in data quality management and establishing data governance practices
Strategic, proactive mindset allowing you to identify opportunities and propose solutions rather than waiting for requests
Databricks SQL experience
Sigma experience for reporting and visualization
AI utilization experience and understanding of AI applications for use cases in business analytics
AWS experience

Responsibilities

Identify and communicate patterns in operations and call center data in response to business needs using data manipulation, statistics, and data visualization
Create and support business intelligence tools, databases, dashboards, reports, and methods with a focus on operations/servicing metrics and call center activity
Use data to support and challenge business solutions with stakeholders, particularly operations and collections teams
Identify, document, and use exploratory data analysis to investigate assumptions around operational performance and team efficiency
Maintain strong relationships and alignment among operations stakeholders to meet reporting and analytical objectives
Define, gather, and validate data requirements; evaluate and ensure data quality standards are met
Develop and maintain KPIs and metrics around operational performance, team efficiency, and business health
Support the team's transition to Sigma as our primary reporting and visualization platform
Stay proactive and strategic—identifying opportunities to improve processes and reporting before being asked
Stay informed of industry trends and best practices in operations, call center management, and data analytics