Data Analyst, Cargo Revenue Management

Full Time
San Francisco, CA
Posted
Job description
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 transportation 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 a strong Data Analyst or Analytics Engineer 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 will your journey at FLYR look like: (Responsibilities)

    • 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 you should pack for this trip: (Qualifications)

    • 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.

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 - $30/Monthly (Hybrid Employees)
    • 100% Paid Parental Leave for 12 Weeks
    • $300 Home office set-up stipend (one time)
    • Compensation: The salary range for this role is commensurate with experience and is as follows:
    • Starting minimum: $119,000
    • Role cap: $167,000
Our Commitment to Equality

Here at FLYR, we’re committed to growing with intention, having our teams better reflect the world around us. We strive to create an environment of inclusion and even more importantly, belonging, where psychological safety, empathy, and human connection are at the center of our leadership principles. Not only does this enable us to create better products and have a better work environment, it’s good for the bottom line and it’s the right thing to do.

FLYR provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, physical or mental disability, genetics, marital or veteran status. In addition to federal law requirements, FLYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates.

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