- Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales
- Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities
- Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices
What you'll do:
1. Data Pipeline Setup: Design and implement robust data pipelines to collect and process data from various sources, ensuring data accuracy and reliability. Collaborate with engineering teams to optimize data collection and integration processes.
2. Experimentation Management: Take ownership of running and managing experiments on our experimentation platform. This includes coordinating experiment setup, monitoring experiment progress, and providing support to stakeholders throughout the experimentation lifecycle.
3. Collaboration with Engineering and Analyst Teams: Collaborate with engineering teams to ensure seamless integration of the experimentation platform with existing systems and tools. Work closely with analysts to understand their data requirements and provide them with the necessary resources to analyze experiment results effectively.
4. Data Analysis and Reporting: Analyze experiment results and provide insights to stakeholders, including engineering teams, product managers, and analysts. Produce comprehensive reports and visualizations to communicate experiment outcomes and recommendations for future iterations.
5. Platform Optimization: Continuously improve the functionality and efficiency of our experimentation platform. Identify areas for improvement, propose solutions, and work with engineering teams to implement enhancements that streamline the experimentation process.
What you'll bring:
- Bachelors degree in a relevant field (eg, Computer Science, Data Science, Statistics) or equivalent practical experience
- 3+ years in setting up data pipelines and working with large datasets
- Strong understanding of statistical concepts and experimental design
- Proficiency in programming languages such as Python or R
- Excellent communication skills and ability to collaborate effectively with cross-functional teams
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Minimum Qualifications Option 1: Bachelors degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years experience in data analysis, data science, statistics, or related field.
Option 2: Masters degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
Option 3: 4 years experience in data analysis, data science, statistics, or related field.
