Senior Data Analyst - People Analytics

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

About the role

• 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, tailoring messaging to drive clarity, alignment, and action
• Drive executive alignment by translating ambiguous business challenges into structured analytical insights and recommendations
• 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 you

Minimum Qualifications

• 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, 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 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

What you’ll get 

Our team members fuel our strategy, innovation