Senior Data Analyst

About the role

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.

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.