Data Scientist, Digital Reporting/Analytics

Overall Job Summary

This role will lead the Reporting and Insights team within our Retail Media department. The Data Scientist, Digital Strategy will be a strategic thinker with a strong analytical background, responsible for transforming data into actionable insights that drive the success of our retail media initiatives. This role will oversee the development of reporting frameworks, analytics models, and insights that inform decision-making across the Retail Media program and throughout the organization.

Essential Duties and Responsibilities (Min 5%)

• Work with key business partners to fully explore and frame a business question including objectives, goals, KPIs, decisions the analysis will support and required timing for deliverables.
• Conduct hands-on analysis of customer and campaign data using analytical and statistical tools such as SQL, R, Python or Databricks to uncover insights and provide program recommendations.
• Work with both unstructured and structured data, creating new datasets to be used for model development or other analyses.
• Use SQL to develop queries from scratch including selecting from existing tables, creating new tables, and removing unwanted data.
• Partner with the Corporate Marketing team to develop, maintain, and improve predictive models using R, Python or Databricks to enhance business knowledge of customer marketing interactions and shopping behaviors.
• Develop segmentation analytics such as clusters or decision trees
• Provide marketing team with design of experiments (DOE) recommendations and expertise to develop testing parameters for A/B Testing.
• Provide Retail Media team with measurement to targeted campaigns.

Leadership and Strategy:

• Lead the Reporting and Insights strategy and direction within the Retail Media program.
• Collaborate with stakeholders across marketing, sales, product management, and IT to understand business needs and align data strategies with organizational goals.
• Develop and implement data-driven strategies that enhance the effectiveness and profitability of retail media campaigns.

Data Analysis and Reporting:

• Design and oversee the development of comprehensive reporting frameworks that provide visibility into the performance of retail media products and campaigns.
• Analyze large datasets to uncover trends, patterns, and insights that inform strategic decisions and optimize media performance.
• Ensure the accuracy and integrity of data used in reporting and analysis, leveraging best practices in data management and governance.

Advanced Analytics and Modeling:

• Develop predictive models and algorithms to forecast campaign performance, customer behavior, and revenue growth.
• Use advanced statistical techniques and machine learning to identify key drivers of performance and recommend actionable improvements.
• Lead the creation of dashboards and visualization tools that enable stakeholders to easily access and interpret data.

Insights and Recommendations:

• Translate complex data analyses into clear, actionable insights for senior leadership and other key stakeholders.
• Provide thought leadership on emerging trends in data science, analytics, and retail media, ensuring Tractor Supply remains at the forefront of the industry.
• Present findings and recommendations to cross-functional teams and executive leadership, influencing strategy and decision-making.

Collaboration and Communication:

• Work closely with IT to ensure the necessary infrastructure and tools are in place to support data science initiatives.
• Partner with the Product Management and Marketing teams to align insights with product development and marketing strategies.
• Foster a data-driven culture within the Retail Media team, promoting the use of data and analytics to drive business outcomes.

Required Qualifications

Experience: 4+ years of predictive modeling experience utilizing CRM or high-level transaction information. Understanding of Retail, CPG, or Marketing Agency business needs

Education: Bachelor Degree in Statistics, Mathematics, Econometrics, or related field. A Master’s degree is a plus. Any suitable combination of education and experience will be considered.

Professional Certifications: None

Preferred knowledge, skills or abilities

• Experience with and at least moderate aptitude in programming langagues such as SAS, SPSS, R, SQL, or Python
• Knowledge of A/ B testing methods; capable of designing a controlled test design, running the test and providing measurement post-hoc
• Ability to frame business questions and create an analytics solution using statistical or other advanced analytics methodologies
• Experience with marketing analytic concepts such as customer lifetime value, market basket analysis, customer profile creation a plus
• Experience using Azure, AWS, or another cloud compute platform a plus
• Experience with marketing loyalty programs, email, direct mail, and digital marketing a plus
• Familiarity with visualization tools such as PowerBI a plus
• Must possess high degree of aptitude in communicating both verbally and written complex analysis results to Senior & Executive Leadership
• Speak, read and write effectively in the English language

Working Conditions

Physical Requirements

Disclaimer

This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor.