Product Analyst (offline)

Petcube, Inc. is a leading technology company that keeps people connected with their pets. It has emerged as a technology leader, claiming a new category of Connected Pet that’s defined at the intersection of Connected Home and Pet Care.

We are looking for a top-notch generalist Product Analyst to spearhead our research efforts, build out a highly functional automated reporting, and connect dots between business, marketing and product. So if you are interested and believe you might be a fit for this position, please apply. One page cover letter in English on why you want to join our team with details about yourself is welcome.

Responsibilities:
- In-depth analysis of hardware and software products performance
- Building reports and dashboards focused on providing actionable insights
- Ideation, conducting experiments to improve key product metrics
- Market research, user studies
- Participation in budgeting and forecasting
- Data warehouse development and data organising
- Close collaboration with Marketing, Product, Engineering, Sales.
- 360-view on key activities.

Requirements:
- BS or MS in Engineering or Computer Science, Math, Physics, Economics
- 1.5 years experience with analyst role
- Strong proficiency with SQL, analytics tools like Google Analytics, Mixpanel, Amplitude, spreadsheets. Supermetrics, Python wouldn’t hurt
- Knowledge of data warehousing principles
- Knowledge of statistical hypothesis testing
- Proactivity, reliability, ownership
- Great communication and presentation skills
- C1+ English

Benefits we offer:
- Great compensation package based on your experience and company-wide benefits;
- A team of passionate professionals and their pets;
- A demanding and satisfying start-up environment that facilitates rapid personal growth, fuelled by a fusion of Silicon Valley entrepreneurial culture and founding team’s work ethics;
- We only work with people who are excited and take pride in the work they do.

The job ad is no longer active
Job unpublished on 21 October 2022

Look at the current jobs Data Science →