Analytics Engineer Program
Modeling + Metric Layer Specialist
Fill the new-gen data role as dbt + modeling + business logic expert.
Even the role name 'analytics engineer' is new in Türkiye; no dbt + modeling + business logic expert pool. Covers analytics engineering philosophy, dbt Cloud advanced, modeling (Kimball, Data Vault, OBT), metric layer (Cube, dbt Semantic Layer), reverse ETL and self-service analytics design.
Quick Facts
Why This Program for Your Company
Talent Development
Grow your in-house teams; reduce vendor and outsourcing dependency
Fast Time-to-Value
Built for a 90-day pilot-to-production trajectory
Measurable ROI
Before/after capability report + KPI dashboard with tangible outcomes
AI Culture
AI adoption across all levels — from executive to engineer
Delivery Models
Choose the delivery format that fits your team
On-site
At your company location, closed group
Hybrid
Online + periodic in-person intensives
Fully Remote
Live remote + recordings + lab notebooks
Train-the-Trainer
Build in-house trainers — long-term scaling
Tailored to Your Company
Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.
Lab Environment
Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset
Post-Training Support
30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support
Why Now? — Türkiye's Empty Market
The analytics engineer role isn't even defined in Türkiye yet. Modern startups are creating it — first-mover advantage.
About the Program
Target Teams
- Data analysts deepening modeling
- BI engineers
- Data engineers with business-side interest
- Startup data team leads
Your Team's Outcomes
- Production-grade data models with dbt Cloud
- Kimball, Data Vault and OBT modeling patterns
- Implement metric layer (Cube, dbt Semantic Layer)
- Operational analytics via reverse ETL
- Design self-service analytics platforms
Prerequisites
- Advanced SQL
- BI tool experience
Trainings in this Program
11 modules / micro-trainings
- 01
Analytics Engineering Philosophy
- 02
dbt Cloud Advanced
- 03
Modeling (Kimball, Data Vault, OBT)
- 04
Metric Layer (Cube, dbt Semantic Layer)
- 05
Reverse ETL (Hightouch, Census)
- 06
Snowflake/BigQuery Performance
- 07
Data Quality (Great Expectations, dbt tests)
- 08
Business Stakeholder Communication
- 09
Self-Service Analytics Design
- 10
AI-Assisted Metric Definition
- 11
Capstone: End-to-End Metric Pipeline
Capstone Project
Full metric layer + self-service analytics platform for a company — dbt models, Cube semantic layer, BI dashboards and documentation.
How We Work
From discovery to delivery and post-training follow-up
- 1
Discovery
Free 30min — team capability map, use case discovery, goal setting
- 2
Design
Custom curriculum, lab scenarios and delivery timeline for your use cases
- 3
Delivery
Live training + hands-on labs + capstone project + completion certificate
- 4
Follow-up
Capability report + 30-day support + optional monthly check-in sessions
Career Path
Positions you can target after this program
Tech Stack & Topics
Frequently Asked Questions
How do enrollment and participant selection work?
How is pricing structured?
Can the curriculum be customized for our use cases?
On-site or remote?
Is post-training support included?
Are certificates provided?
Who is this program for?
What will I learn?
What is the duration and format?
What are the prerequisites?
Which positions does this program prepare me for?
Why is this program needed in Türkiye?
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Bring This Program to Your Team
In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.