Our Vision
FLYR Labs is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.
Starting with airlines, we provide the Cirrus Revenue Operating System™ that reshapes how travel and transportations businesses plan their commercial operation. We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
Our hyper-accurate contextual forecasts enable the most effective scheduling, marketing, and leadership decisions while directly managing the pricing for billions of dollars worth of product and revenue.
Itinerary (About the role)
We are looking for an experienced Data Analyst to join our Product Analytics team.
The Product Analytics team is dedicated to building the analytics tools, data, pipelines, reporting and metrics that allow us to effectively and efficiently evaluate the overall performance of our product, Cirrus.
You are a highly curious, detail-oriented, independent analytics expert. You thrive on building data solutions and analytics tools, uncovering trends and patterns that will help improve our machine learning systems. You are a highly competent communicator towards both technical and non-technical audiences. If you’re happiest learning new, challenging domains, then FLYR has what you are looking for.
You will be joining a dedicated team of Data Analysts, Data Scientists, and airline domain experts responsible for ensuring that our product teams and end-users are equipped with the information to understand and action all opportunities relating to driving more revenue with the Cirrus Revenue Operating System™.
What will your journey look like? (Responsibilities)
- Develop analytics tools and data to support customer-facing teams in the measurement of customer revenue performance and deep learning model behavior
- Apply SQL skills in Google BigQuery and Visualize data using BI tools such as Looker, Tableau, and Google Data Studio
- Identify and interpret trends in large and complex data sets
- Engage directly with customers and stakeholders through presentations, ad hoc touch-points, Q&A, and explanation of model performance and behaviors
- Work closely with Data Scientists and ML Engineers to design and implement product changes and to communicate opportunities for product improvements
What can you bring on this trip? (Qualifications & Requirements)
- 3+ years of relevant experience as a Data Analyst or similar quantitative analytics role
- Advanced SQL - You know your way around analytical and aggregate functions, complex joins, window functions, and are confident in wrangling all types of data in SQL
- Extensive experience with data visualization tools such as Looker
- You are highly curious and willing to dive into data to uncover the true drivers and discover actionable insights
- You take proactive ownership of the analytical tools you build and you apply a product-market fit framework to prioritize what you build
- You are a strong communicator and team player and have experience collaborating across multiple teams and external partners and providing sound recommendations backed by data
- Experience with airline revenue management a plus
- Experience with user / platform engagement analytics a plus
- Experience with machine learning online validation a plus
- Experience with causal analysis a plus
In-Flight Amenities (Perks & Benefits)
- Equity in Series C startup with high growth potential
- Comprehensive healthcare plans (Choice of PPO & HMO available)
- Generous PTO policy and flexible working arrangements
- 401K with company match
- Free Breakfast/Lunch (in office)
- Uber Eats - $20/week (Remote Employees)
- 100% Paid Parental Leave for 12 Weeks
- $300 Home office set-up stipend (one time)
- Dog Friendly Offices
Our Commitment to Equality
At FLYR, we are proud to be an equal opportunity workplace and embrace a commitment to have our teams better reflect the world around us as we scale the business.
