Senior Data Scientist

About the position

The employee will be responsible for enhancing the operational efficiency of our retail operations through comprehensive analysis of operational and human capital data.

Responsibilities

• Help drive the operational efficiency of our retail operations through the use of in-depth analysis of operational and human capital data.
• Perform detailed analysis of large datasets to uncover patterns, trends, and anomalies.
• Develop and apply data mining techniques to extract valuable insights.
• Create and maintain data visualizations (e.g., dashboards, charts) to effectively communicate findings.
• Construct and maintain data models to represent complex business processes and relationships.
• Develop predictive models to forecast future outcomes and trends.
• Integrate ideas into cohesive, well-grounded recommendations, using creative, structured, and analytical thinking supported by data visualization.
• Collaborate with business teams to understand their needs and provide tailored insights.
• Ensure data quality, integrity, and security by implementing data governance standards and best practices.
• Identify data quality or data integrity issues and propose actionable solutions.
• Create reporting metrics, dashboards, and analytics to monitor, analyze, progress, and effectively deliver assessment and results to organizational leaders.
• Partner with cross-functional teams to design and build analytics and reporting tools that drive continuous business improvement.
• Provide insights to the leadership team on the impact of strategic initiatives on key metrics and help them track progress towards goals.
• Identify opportunities for developing new data sources and provide technical leadership to ensure these sources are high-quality and widely accessible.
• Participate in evaluations and assessments designed to identify and define issues, review and analyze data, and evaluate/document best practices.
• Foster a culture of high-quality output and exceptional customer service by effectively communicating at all levels, ensuring timely completion of tasks, responding to unexpected obstacles and reallocating resources as necessary.

Requirements

• Bachelor’s degree required. Bachelor's degree in computer science, Information Systems, Business, Mathematics, I/O Psychology, Human Resources, Marketing Research, Behavioral Economics, or equivalent preferred.
• 7+ years of experience with data analysis, advanced analytics, measurement, and optimization.
• Strong proficiency in SQL, Python, or R for data manipulation and analysis.
• Minimum of 3+ years of experience with data visualization tools. Tableau preferred.
• Experience with analytics tools (e.g., R/R Studio, SPSS, SAS) required.

Nice-to-haves

• Comprehensive understanding of data warehouse design, data structure and data mining.
• Strong analytical skills with the ability to collect, analyze, deduce, and present information.
• Proficiency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, and experimental design.
• Advanced Microsoft Excel skills required.
• Knowledge of SQL Server stack (SSMS, SSIS, SSAS, and SSRS) preferred.
• Flexibility and adaptability to new project initiatives or changing business requirements.
• Exceptional attention to detail and critical thinking skills required.
• Ability to explain complex data models to a non-technical audience.
• Exceptional communication skills required.
• Demonstrated knowledge of business goals and constraints.
• Ability to discern when a question requires reporting on data vs. statistical analysis.
• Strong understanding of ecosystems, historical behaviors, and long-term trends.
• Ability to quickly grasp and implement new or cutting-edge concepts and technologies.
• Excellent consulting, client management, and project management skills.