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Analyttica Datalab Tech Stack

Data strategy and AI services for enterprise digital transformation

Technology, Information and Internet Bangalore, Karnataka 51–200 employees Founded 2012 Privately Held

Analyttica builds data infrastructure and AI solutions for enterprise digital transformation, with a secondary focus on operationalizing data literacy across organizations. The tech stack—dbt, Python, SQL, Kubernetes, multi-cloud (AWS, Azure, GCP, OCI)—reflects a services-oriented architecture capable of handling ETL/ELT pipelines and analytical engines. Hiring is concentrated in data and engineering at senior levels, and the stated pain point around scaling data literacy signals that their internal practice (LEAPS platform) is becoming a differentiator alongside custom consulting work.

Tech Stack 24 technologies

Core Stackdbt Python RAG Jenkins Terraform Ansible CloudFormation Prometheus Grafana Elasticsearch Nginx SonarQube Snyk Docker Kubernetes AWS Tableau SQL HAProxy Vault Azure GCP OCI Excel

What Analyttica Datalab Is Building

◆Challenges

Modernizing data foundations
Scaling data literacy

▲Active Projects

Etl/elt pipeline development
Dbt project architecture
Python tooling and automation
Analytical engine

Hiring Activity

Accelerating5 roles · 2 in 30d

Department

Data

2

Engineering

2

Seniority

Senior

3

Lead

1

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About Analyttica Datalab

Analyttica, founded in 2012 and based in Bangalore, is a data strategy and AI services firm serving enterprises undergoing digital transformation. The company offers three interrelated services: data strategy consulting, infrastructure engineering (ETL/ELT, analytics platforms, multi-cloud deployment), and a proprietary platform called LEAPS designed to embed data literacy into daily workflows across an organization. Active projects include dbt architecture, Python tooling, and analytical engine development. The organization is 51–200 employees, privately held, and currently hiring senior-level data and engineering roles in India.

HeadquartersBangalore, Karnataka

Company Size51–200 employees

Founded2012

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Analyttica use?

Python, SQL, dbt, Kubernetes, Docker, Terraform, and multi-cloud platforms (AWS, Azure, GCP, OCI). Monitoring and observability layers include Prometheus, Grafana, and Elasticsearch. CI/CD tooling includes Jenkins and SonarQube.

What is Analyttica working on?

ETL/ELT pipeline development, dbt project architecture, Python tooling and automation, and analytical engine development. Internal focus areas include modernizing data foundations and scaling data literacy.

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