Senior Data Analyst

quickenloans; Detroit (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Rocket Mortgage Detroit seeks a Senior Data Analyst who collects, organizes and analyzes data from diverse sources to turn numbers into actionable insights, guiding decisions and efficiencies. You will lead end-to-end data analysis projects, mentor peers, develop dashboards and BI reports, and collaborate with executives to shape strategy.

Ideal candidates will have strong SQL, statistical analysis, and data visualization skills, with experience in BI tools and data warehouses to drive

Qualifications

• Bachelor's degree or equivalent in a scientific discipline, mathematics, applied statistics, information technology 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, highlighting insights as relevant.
• 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.

Responsibilities

• Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization
• Use data to support and challenge business solutions with executive leadership or other stakeholders
• Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement
• 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 to ensure their accurate development
• 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 on any of the above responsibilities

Skills

Data analysis

Leadership

Data visualization

Mentoring

Statistical analysis

SQL querying

Education

Bachelor's degree or equivalent in a scientific discipline, mathematics, applied statistics, information technology or a related field

Tools

SAS

R

Python

SQL

BI tools

Job description

As the Senior Data Analyst, you specialize in collecting, organizing and analyzing data from various sources with the purpose of turning numbers into context and recommendations. You paint a picture of how the business is operating using a variety of data analysis techniques and statistics. You integrate, transform and improve volumes of data at the project or company level for streamlined processes, greater efficiencies and more informed decision-making. As a Senior Data Analyst, you must demonstrate leadership among peers and extremely deep knowledge of your industry and business.

About the r ole

• Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization
• Use data to support and challenge business solutions with executive leadership or other stakeholders
• Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement
• 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 to ensure their accurate development
• 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 on any of the above responsibilities

About y ou

Minimum Qualifications

• Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology 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, highlighting insights as relevant
• 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

Preferred Qualifications

• Comprehensive knowledge of at least one 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

What y ou'll g et

Our team members fuel our strategy, inno vation and gro wth, so we ensure the health and well-being of not j ust you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligib le team m embers perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

About u s

Rock e t is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985 . Today, we're a publicly traded company involved in many different i ndustrie s, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard.

This job description is an outline of the p rimary resp onsibilities of this posit ion and may be modi fied at the discretion of the c ompany at any time. Decisions related to employment are not based on race, c olor, 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. The c ompany provides reasonable accommodatio