Pricing Solutions Developer

APG eCommerce Solutions

. Design, develop, deploy, and maintain Streamlit applications for pricing analysis, scenario modeling, deal evaluation, and internal decision-making .

Posted 10/1/2026full-timeAmman • JordanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development and data analytics, with a strong focus on building user-friendly analytical tools and ensuring data integrity. Proficient in automating workflows and implementing process improvements to enhance decision-making capabilities.

Highest-signal resume keywords

Python DevelopmentStreamlit Application DevelopmentSQL Data AnalysisGitHub Version ControlData Visualization with Looker or Tableau

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonStreamlitSQLPandasData AnalyticsData ExtractionData TransformationAnalytical Tool DevelopmentDashboard DevelopmentProcess Automation

Soft Skills

Excellent CommunicationProblem-SolvingProactive MindsetSolution-Oriented

Tools & Technologies

GitGitHubLookerTableau

Industry Keywords

Pricing AnalysisScenario ModelingDeal EvaluationPricing GovernanceTechnical Documentation

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

Design, develop, deploy, and maintain Streamlit applications for pricing analysis, scenario modeling, deal evaluation, and internal decision-making
Analyze pricing trends, performance drivers, and anomalies, translating findings into actionable insights
Ensure compliance with pricing governance frameworks, including documentation, approvals, and audit requirements
Build user-friendly analytical tools for Sales, Commercial, and Finance teams to interact with pricing data
Automate recurring pricing workflows and manual processes using Python
Manage GitHub repositories, including version control, branching strategies, pull requests, code reviews, and merges
Maintain technical documentation, functional requirements, and solution designs
Ensure data accuracy, consistency, and integrity across analytical outputs
Use SQL and Python with large datasets to extract, transform, and prepare data for analysis and reporting
Implement process improvements through automation, self-service analytics, and workflow optimization
Set technical standards, review code, and guide Python development and version-control best practices

Requirements

What you’ll need

3+ years of experience in Python development, data applications, analytics engineering, data analytics, or a related technical role
Proficiency in Python, with hands-on experience building data applications and analytical tools using Streamlit
Experience developing and updating features using Python, Streamlit, and Pandas
Experience developing dashboards and reports using Looker and/or Tableau is a plus
Strong experience working with SQL and large datasets for data extraction, transformation, and analysis
Strong working knowledge of Git and GitHub, including branching, pull requests, code reviews, and collaborative workflows
Ability to understand business requirements and translate them into practical technical solutions
Excellent communication skills, with the ability to explain complex data clearly to non-technical stakeholders
Proactive, solution-oriented mindset with strong problem-solving skills