Credit Pricing & Profitability Analyst

Ualá; Ciudad de Mendoza; Hybrid; ARS 136,254,000 - 189,242,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Flextime

Job summary

AgileEngine is seeking an Analyst/Senior Analyst to support data-driven decisions around subscriptions and promotional offers for a major OTT streaming business. You will build Snowflake tables, Tableau dashboards, and reports that translate complex data into actionable insights for Finance, Marketing, and Product teams.

Strong SQL, Python, and data storytelling are essential as you communicate ROI and business impact to senior stakeholders.

Qualifications

• 4+ years of experience with independent project ownership.
• Experience translating analytical outputs into executive-level insights.
• Fluent/business-level English (written and verbal).
• Daily proficiency in SQL, Snowflake, Tableau or PowerBI, Excel, and Python.

Responsibilities

• Develop analytical and reporting database tables for subscription and promo offers performance tracking.
• Produce monthly financial reports and conduct variance analysis.
• Build dashboards summarizing metrics for Finance, Marketing, Product teams.
• Model discount strategies and analyze subscriber retention and LTV.
• Ensure data accuracy and monitor quality control processes.
• Respond to ad hoc data requests from multiple stakeholders.
• Collaborate with Insights & Analytics to integrate marketing data.

Skills

Data storytelling

SQL

Python

Tableau

Snowflake

Excel

English (business)

Education

Mathematics/Statistics/Industrial Engineering/Data Science/Economics/CS

Tools

Tableau or PowerBI

Excel

Job description

Analyst Subscriptions and Pricing ID86906

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an Analyst/Senior Analyst to support data-driven decisions around subscriptions and promotional offers for a major OTT streaming business. This person builds Snowflake tables, Tableau dashboards, and reports that turn complex data into clear, actionable insights for Finance, Marketing, and Product teams. The role also involves translating analytical findings into executive-level insights and communicating business impact and ROI to senior stakeholders. SQL, Python, and strong analytical judgment are central to the role.

WHAT YOU WILL DO

• Develop analytical and reporting database tables to facilitate subscription and promotional offers performance tracking through efficient querying of large databases.
• Produce and maintain critical monthly financial reports, conducting variance analysis to resolve complex anomalies and provide clear explanations.
• Build reports and Tableau dashboards summarizing pertinent metrics and equipping various stakeholders with information for decision-making.
• Apply quantitative analysis on complex data to support the Insights team in efforts to understand customer behavior and impact of promotional offers.
• Support revenue management strategies by modeling discount strategies and analyzing subscriber retention and LTV.
• Ensure data accuracy through conscientious data collection and monitoring, development and execution of quality control processes, investigation and resolution of anomalies.
• Respond to a wide variety of ad hoc requests from Finance, Marketing, Distribution, Product, etc. in a timely and accurate manner.
• Work closely with other members of the Insights & Analytics team to incorporate marketing and content data, creating a holistic understanding of customers and how they interact with our products.

MUST HAVES

• 4+ years of experience with independent project ownership for the Senior Analyst level.
• Data storytelling and strategic communication : Translating complex analytical outputs into actionable C-suite insights, executive presentations, and quantifiable ROI is crucial for the role.
• Fluent/business-level English (written and verbal) is required.
• College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience.
• Daily proficiency required in SQL, Snowflake, Tableau or PowerBI, Excel, and Python .
• Demonstrated proficiency in SQL (verified via test), including hands-on experience with CTEs, window functions, and date & time functions.
• Primary BI tool proficiency in Tableau to build and maintain dashboards.
• Familiarity with database models, transforming raw columnar data, and loading large datasets.
• Basic knowledge of statistics and/or machine learning.
• Familiarity with generative AI tools (e.g., Gemini, ChatGPT) for workflow efficiency, including effective prompt engineering and awareness of data security and accuracy risks.
• Strong communication skills for explaining the business implications of data analysis and visualizations.
• Thrives in small fast-paced environments with high individual accountability; capable of driving priorities to the finish line independently while exercising sound judgment on when to elevate.

NICE TO HAVES

• Previous work experience with subscription and promotional offers data analysis.
• Specialized experience with AWS/S3, SageMaker, R, Airflow, and dbt.

PERKS AND BENEFITS

• Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Requirements

Experience: 4+ years of experience with independent project ownership for the Senior Analyst level. Data Storytelling & Strategic Communication: Translating complex analytical outputs into actionable C-suite insights, executive presentations, and quantifiable ROI is crucial for the role. Language: Fluent/business-level English (written and verbal) is required. Education: College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience Core Tech Stack: Daily proficiency required in SQL, Snowflake, Tableau or PowerBI, Excel, and Python Demonstrated proficiency in SQL (verified via test), including hands-on experience with CTEs, window functions, and date & time functions. Primary BI tool proficiency in Tableau to build and maintain dashboards. Familiarity with database models, transforming raw columnar data, and loading large datasets. Basic knowledge of statistics and/or machine learning. Familiarity with generative AI tools (e.g., Gemini, ChatGPT) for workflow efficiency, including effective prompt engineering and awareness of data security and accuracy risks. Strong communication skills for explaining the business implications of data analysis and visualizations. Thrives in small fast-paced environments with high individual accountability; capable of driving priorities to the finish line independently while exercising sound judgment on when to elevate. Previous work experience with subscription and promotional offers data analysis is a plus. Important comment about the role: While the team builds many dashboards and reports, the main purpose of the reports is to facilitate answering business questions. The data analyst is expected to build those dashboards, but the more important responsibility is to analyze the data from those reports and provide clear answers to questions like “What caused the increase in churn rates?”, “What is driving the increase in subscriptions?”, “How did Project X impact involuntary churn?”