Dollar General is looking to leverage data science initiatives from a business and strategy perspective for third-party delivery channels (Uber, DoorDash) and non-consumable marketplaces to manage projects, identify new business opportunities, and aid in strategic decision-making.
Requirements
- Proficiency with analytics tools (e.g., Google Analytics, marketplace dashboards) and Advanced Excel is essential.
- Expertise with SQL for data querying and manipulation would be preferred.
- Use Excel and SQL to analyze data and trends in depth.
Responsibilities
- Strategically examine and translate data findings and insights into clear, concise, and actionable business recommendations for a non-technical audience.
- Identify and quantify new opportunities using data by enhancing current processes or approaching business questions with data driven insights.
- Lead the ongoing measurement of the business impact of all digital commerce initiatives and report on the financial outcomes through a business lens.
- Understand all sources of digital commerce data, identify gaps in data and additional strategic uses of the data.
- Lead deep-dive analysis on marketplace and delivery partner performance, working with partners and within the data to identify drivers of growth or decline.
- Analyze and interpret data from various digital platforms to understand customer behavior, sales trends, and operational efficiency.
- Work with data engineering teams to ensure data pipelines are robust and accurate for all digital commerce channels.
Other
- Manager, Digital Commerce, with a strong focus on data and analytics, is responsible for leading data science initiatives from a business and strategy perspective for third-party delivery channels (Uber, DoorDash) and non-consumable marketplaces.
- This role is a business-focused role within a data-focused team, responsible for leveraging business expertise alongside data to manage projects with stakeholders, identify new business opportunities, present findings to aid in strategic decision-making, etc.
- The ideal candidate will possess an understanding of digital analytics, ideally with experience in Retail and a passion for data.
- Collaborate with cross-functional teams and 3rd party partners (e.g., Marketing, Data Engineering, IT, DoorDash, Uber) to manage processes and influence business outcomes.
- Be the point of contact for 3rd party partners from a data perspective, understanding capabilities and potential process improvements.
- Create presentations and reports to communicate key performance indicators (KPIs) and insights to senior leadership and cross-functional teams.
- Handle executive and stakeholder communication on data related Commerce activities.
