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Collection Planning Analyst

Kueski

Full-time
Mexico
analyst
python
big data
sql
talent acquisition
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose

The Analyst is responsible for the creation and optimization of store segmentation models, enabling the identification of the best courses of action based on zone, segment, sales volume, Share of Checkout, and the current store's status. The primary role includes determining the ideal number of visits, generating monthly targets by agency and promoter, and collaborating with the promotion team and stakeholders to implement differentiated store strategies. Additionally, the analyst will oversee the control and optimization of the promotion budget, ensuring profitability through detailed analysis of cost per visit and in-store productivity. The Analyst will also develop and calibrate capacity models and present monthly results of the promotion strategy, significantly contributing to the achievement of the channel’s sales objectives.

Key Responsabilities

  • Creation of store segmentation models that allow for the best courses of action, whether by zone, segment, sales volume, Share of Checkout, and/or the current status of the stores

  • Determine the ideal number of visits based on in-store segmentation

  • Generate monthly targets by agency and promoter that allow us to reach the sales objective in promotion

  • Collaborate with the promotion team on various strategies and differentiated store treatments

  • Calculate promotion expenses and cost per visit versus profitability

  • Develop CH (Checklist) in promotion with the appropriate rules to identify best practices and the type of store where they are effective

  • Ensure sales targets are met in conjunction with the channel.

  • Analyze visits, productivity, and quality (preferably weekly) and how we can improve them

  • Review of floor strategy with the channel

  • Control the promotion budget

  • Calculate overall capacity

  • Present monthly results of the promotion strategy

  • Forecast various promotion variables (visits, promoters, sales estimates, etc.).

Position Requierements

  • + 2 years experience in proficient in managing key for Promotion and CX.

  • Management of programming languages SQL, R, Python- Plus (Databricks)

  • Budget Control and OptimizationManagement of Key Metrics for CS

  • Use of Capacity Models

  • Design and Calibration of Segmentation Models

  • Use of CH (Checklist) (Definition of Universe, Statistical Models, Use of Sets)

  • Proficiency in Programming Languages and Big Data

  • Knowledge in CS

  • Advanced/Intermediate EnglishUse of Forecast Models

You’ll love working at Kueski because:

  • We have a mission-driven culture focused on customer value, teamwork, humility,  and integrity. 

  • Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition  is embedded in our company processes, systems, and practices. 

  • We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits. Everyone is an owner and eligible for competitive stock options with a company poised for success. 

  • We´re committed to building an inclusive and diverse team and we know this leads to incredible work.

Kueski: Where talent excellence improves Mexican lives

#LifeAtKueski #KueskiTalent

At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.

About the job

Full-time
Mexico
4 Applicants
Posted 7 months ago
analyst
python
big data
sql
talent acquisition
Enhancv advertisement

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Collection Planning Analyst

Kueski
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose

The Analyst is responsible for the creation and optimization of store segmentation models, enabling the identification of the best courses of action based on zone, segment, sales volume, Share of Checkout, and the current store's status. The primary role includes determining the ideal number of visits, generating monthly targets by agency and promoter, and collaborating with the promotion team and stakeholders to implement differentiated store strategies. Additionally, the analyst will oversee the control and optimization of the promotion budget, ensuring profitability through detailed analysis of cost per visit and in-store productivity. The Analyst will also develop and calibrate capacity models and present monthly results of the promotion strategy, significantly contributing to the achievement of the channel’s sales objectives.

Key Responsabilities

  • Creation of store segmentation models that allow for the best courses of action, whether by zone, segment, sales volume, Share of Checkout, and/or the current status of the stores

  • Determine the ideal number of visits based on in-store segmentation

  • Generate monthly targets by agency and promoter that allow us to reach the sales objective in promotion

  • Collaborate with the promotion team on various strategies and differentiated store treatments

  • Calculate promotion expenses and cost per visit versus profitability

  • Develop CH (Checklist) in promotion with the appropriate rules to identify best practices and the type of store where they are effective

  • Ensure sales targets are met in conjunction with the channel.

  • Analyze visits, productivity, and quality (preferably weekly) and how we can improve them

  • Review of floor strategy with the channel

  • Control the promotion budget

  • Calculate overall capacity

  • Present monthly results of the promotion strategy

  • Forecast various promotion variables (visits, promoters, sales estimates, etc.).

Position Requierements

  • + 2 years experience in proficient in managing key for Promotion and CX.

  • Management of programming languages SQL, R, Python- Plus (Databricks)

  • Budget Control and OptimizationManagement of Key Metrics for CS

  • Use of Capacity Models

  • Design and Calibration of Segmentation Models

  • Use of CH (Checklist) (Definition of Universe, Statistical Models, Use of Sets)

  • Proficiency in Programming Languages and Big Data

  • Knowledge in CS

  • Advanced/Intermediate EnglishUse of Forecast Models

You’ll love working at Kueski because:

  • We have a mission-driven culture focused on customer value, teamwork, humility,  and integrity. 

  • Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition  is embedded in our company processes, systems, and practices. 

  • We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits. Everyone is an owner and eligible for competitive stock options with a company poised for success. 

  • We´re committed to building an inclusive and diverse team and we know this leads to incredible work.

Kueski: Where talent excellence improves Mexican lives

#LifeAtKueski #KueskiTalent

At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.

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