point.me
is hiring
Senior Data Analyst
About Our Company
We're a real-time search and booking engine that makes it easy to book flights with points. With point.me, you can not only compare all your points and miles options in the same simple format you’re used to seeing for paid flights, you can also see step-by-step guides and videos on exactly how to choose the best deal, transfer your points, and book your reward flight across dozens of frequent flyer programs. Need more help or prefer to leave the hassle to someone else? Our expert team of concierge agents can handle everything for you - from transfer to ticketing.
Job Description & Responsibilities
Do you thrive in a fast-paced startup style environment? Do you enjoy working on a small team delivering rock-solid functionality and performance? We are
looking for data analysts, and if that description resonates with you, you could be an excellent fit!
You’ll work with a large variety of data sources to look for trends and lead the charge in keeping us a data-driven company. You should have experience as a data analyst, and not be afraid of large, unstructured data sets. You should be highly analytic with a strong background in mathematics and statistics. Experience with machine-learning and research is also a plus.
Your work will impact the way rewards points are maximized, and help people travel better.
What You'll Do
- Identify areas for process improvement and organize and execute efforts to improve efficiency and accuracy of said processes
- Lead the effort to standardize and manage Google Analytics tags, triggers, and variables
- Orchestrate exploratory data analysis to proactively identify areas for product improvement
- Translate findings into actionable insights for pertinent stakeholders and lead the company in data-driven decision-making
- Develop robust data collection systems and close data loops
- Oversee the maintenance and improvement of LookerStudio user dashboards
- Design and perform hypothesis and A/B tests to measure effectiveness of new features and marketing campaigns
- Design and execute experiments to measure the efficacy of product releases
Requirements
Who You Are
- An experienced Data Analyst, with at least four (4) years of proven professional experience
- Well-versed in automating processes with Python
- You’ve worked with Google Analytics, Looker Studio, and other dashboard tools
- You have database management experience
- You have practical experience performing statistical analysis via hypothesis testing and A/B testing
- A college graduate with a Bachelor's (or equivalent) degree in math, computer science, statistics, or another data-related major from an accredited college or university
- A communicative person that values building strong relationships and even stronger teams
- Detail-oriented and well organized, able to explain complex topics in a clear way
- Self-driven, but able to work closely with a small team and a diverse set of responsibilities
- Experience with plpgsql and triggers, and AWS (S3 & Sagemaker) a plus, but not required
Tech stack
- PostgreSQL
- Google Analytics
- Google Tag Manager
- LookerStudio
- Stripe
- Hubspot
- AWS s3
- Github
What we offer
All employees are offered the following:
- Competitive salaries and meaningful equity
- Comprehensive health care coverage
- A 100% distributed workforce, so you can contribute from wherever you prefer
- An open vacation policy, with a minimum of 15 days off each year
- Team trips and outings