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Data Analyst 🔥


Our VisionFLYR 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.We are looking for an exceptional Data Analyst to join our Data Science team. You will join one of our AI Customer Delivery teams where you’ll play a key role in successfully onboarding new FLYR customers. You will apply your technical expertise to transform complex, imperfect datasets into actionable insights via massive-scale data transformation and standardization, productized ETL pipelines, performant and reliable data monitoring, and polished client-facing data visualizations and dashboards. You will become an expert in various sources and types of airline data that ultimately feed our predictive pricing models. Lastly, you have an eye for efficiency and will find ways to scale your impact to support a team effort to shrink implementation timelines. What will your destination look like? Own the transformation of raw, semi-structured datasets into a standardized schema in our cloud-based data warehouses.Work closely with data scientists and data engineers to extract insights from data.Apply an inquisitive approach and strong technical skills to identify subtle patterns in massive, integrated datasets, proactively identifying source data issues as well as new opportunities to improve our models, algorithms, and product.Become an expert in airline data, including its purpose, interconnectivity, and relevance to our models.Uncover new opportunities for scalable, repeatable tools and processes for future implementations.Ideate, develop, and ship production-grade data pipelines, client-facing dashboards, and metrics readouts.Apply your exceptional communication skills to build effective, trusting relationships with internal stakeholders and customers alike.This role may have on-call responsibilities as needed. What can you bring on this trip? 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.Strong Python skills - You are well-versed in common data science libraries such as Pandas and NumPy but are also able to write basic Python code that is clean, well-documented and tested.Experience working with large datasets for ETL activities; experience with task orchestration tools like Apache Airflow is a plus.You are highly curious and willing to dive into data to uncover the truth and discover actionable insights. You are always asking relevant questions and you know how to find answers within data.You are a strong communicator and team player and have experience collaborating across multiple teams and external partners.Experience with data visualization (Tableau, Looker, etc.) and cloud computing platforms (GCP, etc.) is a plus.You have 3+ years of experience tackling similar problems academically and/or professionally and a proven history of delivering results. In-Flight Amenities: (Perks & Benefits) Equity in Series C startup with high growth potentialComprehensive healthcare plans (Choice of PPO & HMO available)Generous PTO policy and flexible working arrangements401K with company matchFree Breakfast/Lunch (in office)Uber Eats - $30/Monthly (Hybrid Employees)100% Paid Parental Leave for 12 Weeks$300 Home office set-up stipend (one time)Our Commitment to EqualityAt 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.

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