Revenue Data and Business Sr. Analyst at Birdman

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Science, Machine Learning, Statistical Modeling, Power BI, Data Pipelines, Demand Forecasting, Pricing Strategy, A/B Testing, Regression Analysis, Time Series Analysis, Causal Inference, Data Validation, Gradient Boosting, Clustering

Industry

Food & Beverages

Description

About the Company At Birdman, we are building one of the fastest-growing plant-based brands. Our mission is to make healthy, sustainable, and high-performance nutrition accessible through products that are better for people and the planet. As we scale across channels, markets, and geographies, we are building a stronger data and analytics foundation to support better, faster, and more reliable business decisions. The Role We are looking for a Data Scientist to join our Revenue Growth Management team. This is a highly technical, high-impact role focused on building the statistical and machine learning foundation behind commercial decision-making. You will work on problems such as demand forecasting, pricing, promotional effectiveness, and customer segmentation, translating business questions into analytical models and model outputs into business insights. This role is ideal for someone who is hands-on with data, comfortable working end-to-end (from pipelines to models to insights), and motivated to raise the analytical standard of the business. Impact & Ownership Build and scale the statistical and ML foundation for revenue analytics Improve forecast accuracy, pricing decisions, and promotional ROI measurement Reduce manual work through automated Python pipelines and reusable frameworks Ensure analytical outputs are reliable, reproducible, and trusted Accelerate analytical workflows using AI tools (ChatGPT, Claude) Contribute to the development of the company’s Revenue Data Lake Responsibilities Build and maintain statistical and machine learning models (forecasting, elasticity, incrementality, segmentation) Develop and maintain Python data pipelines connecting ERP, retail portals, and internal systems Design and execute A/B tests and quasi-experiments with statistical rigor Perform data validation, model validation, and quality checks before stakeholder use Build and maintain Power BI dashboards with advanced data models Collaborate with strategy and commercial teams on data-driven projects Leverage AI tools to improve speed and quality of analysis Document models and pipelines to ensure reproducibility and scalability Experience 2–4 years in data science, quantitative analytics, or similar roles Hands-on experience building models used in real business environments Experience in CPG, retail, eCommerce, or marketplaces is a strong plus Skills Advanced Python (pandas, numpy, scikit-learn, statsmodels) Advanced SQL (CTEs, window functions, optimization) Strong statistical foundation (regression, time series, hypothesis testing, causal inference) Machine learning experience (classification, clustering, gradient boosting) Experience building data pipelines and working with multiple data sources Power BI (intermediate to advanced) Strong problem-solving and structured thinking Language & Location Professional English required Based in Guadalajara or willing to relocate Nice to Have Experience with PySpark, Databricks, or Microsoft Fabric MLOps basics and version control (Git) Experience with APIs (Airflow, dbt) Experience in consulting or advanced analytics teams Exposure to Bayesian methods or advanced experimentation 📢 Ready to take flight?

Responsibilities

Build and maintain statistical and machine learning models to support revenue growth management and commercial decision-making. Develop automated Python data pipelines and Power BI dashboards to ensure reliable, reproducible, and actionable business insights.