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- Use SQL and Python to explore DoorDash and merchant data and uncover strategic insights and recommendations
- Conduct analysis and share data-driven insights in succinct presentations with data visualizations to showcase the results of past initiatives, diagnose issues in merchant performance, and propose the value of new endeavors.
- Design, build and evolve automated reporting and dashboards that drive strategic decisions making across the Enterprise organization
- Develop and standardize analytic methodologies and operational metrics to improve the efficiency and effectiveness of the team
- Ensure data integrity by understanding and identifying opportunities to improve the back end data structure
- You are a strong business thinker, able to use 'first principles' to solve challenging business problems at their root level
- You are data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the numbers
- You are able to craft your data insights into presentations that are relatable, succinct, sophisticated, and impactful
- You are a self-motivated, rapid learner, excited about developing your analytical and problem-solving skills
- You are results-oriented, always evaluating whether our team's activities are achieving the desired, measurable impact
- You are a team player who enjoys collaborating with a diverse team and a variety of stakeholders
- You are curious and an owner, always looking for opportunities to learn and better your work product
- You are comfortable in a fast-paced, constantly changing team-oriented environment and able to manage multiple deadlines simultaneously
- BA/BS degree in quantitative or business fields, or equivalent work experience
- 4+ years of work experience in data analytics, management consulting, or other quantitative role
- Experience with CPGs and/or marketing analytics preferred
- Analytical mindset with demonstrated ability to work through complex, ambiguous problems using data
- Proven ability to achieve expert level in:
- Scripting languages and data analysis tools such as SQL and Python
- Data analysis tools like Microsoft Excel or Google Sheets
- Presentation software like Microsoft PowerPoint or Google Slides
- Data visualization platforms like Tableau, ChartiO or PowerBI
- Strong written/verbal communications and presentation skills