Impact Analytics Tech Stack

AI-native SaaS for retail planning, forecasting, and merchandising optimization

Software Development New York, New York 501–1,000 employees Founded 2015 Privately Held

Impact Analytics operates a machine-learning-centric SaaS platform for retail, grocery, and CPG companies, with a tech stack anchored in Python, SQL, and Pandas feeding predictive models. Current hiring is heavily weighted toward senior engineers and data practitioners—20 senior roles and 10 leads across 33 open positions—while projects focus on multi-cloud infrastructure, CI/CD pipeline maturity, and scaling backend architecture. The pain-point list (multi-cloud complexity, performance bottlenecks, manual testing) maps directly to their current initiatives in containerization, IaC, and test automation, signaling an organization pulling away from manual, single-cloud operations toward distributed, reproducible systems.

Tech Stack 72 technologies

Core StackPython NumPy Pandas scikit-learn Tableau Selenium Playwright Cypress Postman Terraform Ansible CloudFormation AWS Jenkins GitLab CI/CD Docker Kubernetes PostgreSQL PySpark Prometheus Elasticsearch Django SQL Excel JMeter LoadRunner Insomnia Ansible AWX GCP Dataflow+41 more

What Impact Analytics Is Building

◆Challenges

Multi-cloud backend strategies
Scalable secure resilient architecture patterns
Streamlining development workflows
Performance bottlenecks in large-scale applications
Complex backend challenges
Resource bottlenecks
Vendor-managed inventory integration
Lack of real-time insights
Manual test cases
Integration into ci/cd pipeline

▲Active Projects

End-to-end solution implementation of space planning tools for global apparel/retail clients
Automating manual test cases
Multi-cloud hybrid-cloud backend strategy
Containerization and orchestration deployment
Ai-powered demand planning workflows
Infrastructure as code implementation
Backend architecture initiatives
Ci/cd pipeline development
Reproducible modelling pipelines
Merchandising solution implementation

Hiring Activity

Accelerating35 roles · 20 in 30d

Department

Engineering

Data

Support

Seniority

Senior

Lead

Director

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About Impact Analytics

Impact Analytics is a SaaS and consulting firm founded in 2015, headquartered in New York with 501–1,000 employees. The platform integrates planning, forecasting, merchandising, pricing, and promotions workflows for retail and consumer goods companies, powered by over one million machine learning models. The company serves mid-market to enterprise retailers and CPG players seeking to move from static, year-over-year planning to dynamic, data-driven decisions. Engineering and data teams dominate the hiring mix, and active projects reveal a focus on backend scalability, cloud-agnostic infrastructure, and operational automation across global implementations.

HeadquartersNew York, New York

Company Size501–1,000 employees

Founded2015

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Impact Analytics use?

Core: Python, SQL, NumPy, Pandas, scikit-learn, Django, PostgreSQL, PySpark. Infrastructure: AWS, GCP, Kubernetes, Docker, Terraform, Ansible. Data: Elasticsearch, Dataflow, Prometheus. Testing: Selenium, Playwright, Cypress, Postman, JMeter. CI/CD: Jenkins, GitLab CI/CD.

What is Impact Analytics working on?

Multi-cloud and hybrid-cloud infrastructure, containerization and Kubernetes orchestration, CI/CD pipeline development, Infrastructure as Code, AI-powered demand planning, test automation, and space-planning tool implementations for global retail and apparel clients.