Lead Data Analyst for Complex Problem Solving
4 weeks ago
About Us
Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts and augment their decision-making seamlessly.
We are on a mission to develop powerful AI infrastructure that equips marketers across countries with robust plug-and-play AI products, 200+ proprietary, self-evolving AI models without having to write a single line of code.
The company has raised a total funding of $209 million across Series A, B, C, and C1, and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital, and Chiratae Ventures.
Our customer base includes global brands such as DHL Express, Joe & The Juice, Claroshop, Allbirds, L'Oreal, HDFC Bank, Skoda, Swiggy, Clar, and SmartAsset, to name a few.
We have a talented and diverse team of 300+ spread across over 14 geographies focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts.
Why Pixis?
We believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve.
As a key member of our team, you will work with large datasets, conduct analysis, and make business recommendations to stakeholders.
Key Responsibilities:
- Work with complex data sets to solve difficult non-routine analysis problems
- Conduct analysis including data gathering, processing, analysis, and presentations
- Make business recommendations with effective presentations of findings
- Research and develop analysis methods to improve the quality of user-facing products
- Support new data-driven advertising and marketing products
- Combine large-scale experimentation, statistical methods, and machine learning to answer business questions
- Be a strategic thought partner with business stakeholders to define high-impact analytical problems
- Develop statistical models explaining key behavioral patterns
- Build dashboards and visualizations for stakeholders to self-serve metrics
- Translate analytic insights into actionable recommendations for business improvement
Requirements & Skills:
- 1-3 years of experience in Data Science
- Strong statistical knowledge and understanding of predictive modeling
- Basic understanding of experimentation
- Strong SQL skills and experience with distributed analytic processing technologies
- Proficiency in Python
- Ability to engage with diverse stakeholders and cultivate strong partnerships
- Passionate about communicating difficult concepts to non-technical audiences
- Self-starter who thrives under a high level of autonomy
Compensation:
We offer an estimated salary of $140,000 per year, based on industry standards and location. This compensation package reflects our commitment to attracting top talent and providing opportunities for growth and development.
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