What are the responsibilities and job description for the Data Analyst position at FLYR?
Flight Itinerary
We are looking for a strong Data Analyst to build new capabilities in the Cirrus Revenue Operating System to include Air Cargo demand forecasting and ML-based pricing capabilities. Acting as an analytics engineer working in a cross-functional product development team, you will architect key metrics, KPIs, and analytics capabilities in our new AI-driven cargo revenue management application. Come join us in the early stages of a new product offering, powered by FLYR’s existing best-in-class Revenue Operating System. We’re building state-of-the-art ML powered forecasting and decision making systems, on a SaaS cloud-native platform. We strongly believe in fostering an environment for intellectually interesting work that advances your career progression on this journey. Let’s get you on board soon.
What Your Journey Will Look Like
- You will build a greenfield new product offering on FLYR’s Cirrus platform, building capabilities in the areas of air cargo forecasting and automated pricing decision making.
- You will work closely with product owners, engineers, and data scientists to build analytics pipelines transforming facts into KPIs, metrics, and ML features.
- You will own the transformation of raw, semi-structured datasets into a standardized schema in our cloud-based data warehouse.
- You will work closely with subject matter experts to define strong semantic expectations of data and define data quality tests for data pipelines and ETL transforms.
- You will build production-grade analytics pipelines and product-grade, client-facing BI dashboards.
- You will become an expert in air cargo data, including its purpose, interconnectivity, and relevance to our product’s capabilities.
- You will make accurate estimates for upcoming work, communicate technical solutions effectively, and report progress.
- You will work in a product-focused scrum team to deliver against a roadmap managed by a dedicated product owner.
- You will participate in stand-ups, bug triages, retrospectives, and other team meetings.
- You will be a technical thought-leader to constantly improve how we work.
What To Pack For 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. Professional experience in modern data warehouses (BigQuery/Snowflake/Redshift) is required.
- Familiarity with analytics engineering using dbt is a strong plus.
- Python skills - You are able to write basic Python code that is clean, well-documented and tested.
- Past professional experience with data pipelines for business KPIs and metrics.
- Experience with task orchestration tools like Apache Airflow is a strong 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 BI reporting and data visualization tooling. (Looker / Tableau, etc.)
- Experience working with a team using Git.
- Senior members of our engineering organization have the ability to mentor and guide new members, grow the engineering-excellence culture, and influence the larger engineering organizations.
First-Class Amenities
- 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)
- 100% paid Parental Leave for 12 weeks
- Annual educational fund
Salary : $119,000 - $155,000