Credit Pricing & Profitability Analyst

Ualá; Quilmes; Hybrid; ARS 136,310,000 - 181,747,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

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 for Finance, Marketing, and Product teams, translating findings into executive-level insights and ROI.

The role requires SQL, Python, and strong analytical judgment, with English fluency and a degree in a related field.

Qualifications

• 4+ years of independent project ownership.
• Data storytelling and strategic communication: translating complex outputs into actionable executive ROI.
• Fluent/business-level English (written and verbal).
• College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent.
• Daily proficiency in SQL, Snowflake, Tableau or PowerBI, Excel, and Python.
• Demonstrated proficiency in SQL (CTEs, window functions, date/time).
• Tableau as primary BI tool to build and maintain dashboards.
• Familiarity with database models, transforming raw data, and loading large datasets.
• Basic knowledge of statistics and/or machine learning.
• Familiarity with generative AI tools (e.g., Gemini, ChatGPT) and data security awareness.
• Strong communication to explain business implications of data analyses.
• Thrives in small, fast-paced environments with independent ownership.

Responsibilities

• Develop analytical and reporting database tables for subscription and offers performance tracking.
• Produce and maintain monthly financial reports, performing variance analysis.
• Build reports and Tableau dashboards for stakeholders to support decision-making.
• Apply quantitative analysis to understand customer behavior and impact of promotional offers.
• Support revenue management by modeling discount strategies and analyzing retention and LTV.
• Ensure data accuracy through data collection, QA, and anomaly resolution.
• Respond to ad hoc requests from Finance, Marketing, Distribution, Product, etc.
• Collaborate with Insights & Analytics team to integrate marketing and content data for holistic customer understanding.

Skills

SQL

Snowflake

Tableau

PowerBI

Excel

Python

English communication

Education

College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, OR Computer Science

Tools

AWS/S3

SageMaker

R

Airflow

dbt

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 escape.

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.