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Data Analyst

Turn Complex Datasets into Business Intelligence.

We are looking for analysts experienced with SQL, Python (Pandas/NumPy), Tableau, Power BI, or similar tools who can demonstrate strong analytical thinking, data modeling, and visualization skills.

Preferred Technologies & Frameworks (use whatever you are most proficient in):
SQL (PostgreSQL / BigQuery)PythonPandasNumPyTableauPower BIMetabaseExcel / SheetsJupyter NotebooksMatplotlib / SeabornSnowflake
Submit Application Selection Process

Role Overview

Accepting Applications
Position Data Analyst
On Completion Verified completion credentials
Evaluation Mode Stack-Agnostic Project Challenge
Upon Selection Access to paid work with real projects and startups
Official Verified Credentials

Selection Letter on shortlisting. Completion Certificate on project submission.

Selection Process

How to join as a Data Analyst.

A clear, transparent 5-step path from application to real paid project work.

01

Submit Your Application

Complete the application form with your personal details, academic background, preferred tech stack, and developer profiles. Takes approximately 2 minutes.

02

Profile Screening & Selection

Our engineering panel reviews your profile. Shortlisted applicants receive an official Selection Letter and invitation to the domain-specific task group.

03

Practical Project Evaluation

Work on real-world engineering challenges using any technology stack you prefer. All candidates who complete the evaluation receive verified completion credentials.

04

Technical Interview

Top performers advance to a live technical interview with senior Kagnus engineers to evaluate architecture decisions and code quality.

05

Paid Projects & Network Access

Selected engineers join the Kagnus Engineering Network with access to paid work on real client projects, startup products, and commercial assignments.

Recognized Credentials

Complete the evaluation. Earn verified credentials.

We recognize engineering effort. Whether you advance to the technical interview or not, completing the practical evaluation guarantees you an official Kagnus Verified Completion Certificate and professional recognition. Top performers unlock access to paid commercial work with real startups and clients.

Technology-agnostic evaluation Professional portfolio recognition Verified credential link Direct access to task group
Kagnus. OFFICIAL CERTIFICATE

Verified Engineering Evaluation

Data Analyst

Issued to Candidate
Evaluation Project Preview

E-Commerce & SaaS Retention Analytics Challenge

Analyze multi-dimensional transactional data to identify churn drivers, customer lifetime value (CLV), and revenue expansion opportunities, culminating in an executive dashboard.

Required Deliverables:

  • Jupyter Notebook / SQL Script repository with data transformation documentation
  • Interactive dashboard link or PDF report
  • Analytical summary documenting key findings and methodology

Evaluated Skill Dimensions

Exploratory Data Analysis (EDA) & Data Cleaning
Complex SQL Querying, Joins & Aggregations
Business Metrics & KPI Modeling
Interactive Dashboard Design & Visualization
Statistical Analysis & Data Storytelling
Data Analyst — Application Accepting Applications

Apply for Data Analyst Position

Complete the form below to submit your application. All fields marked with an asterisk are required. Typical completion time is under 3 minutes.

Personal Information
Academic Background
Technical Profile
Select the technologies you are proficient in.
You may also specify additional tools or frameworks not listed above.
Developer Profiles (provide at least one)

Free application. No charges at any stage. Shortlisted candidates will receive an official Selection Letter.

Frequently Asked Questions

Common Questions

Everything you need to know about the Data Analyst position.

Can I use Power BI or Tableau for the dashboard?

Yes. You can choose Power BI, Tableau, Metabase, Python (Streamlit/Dash), or SQL-driven visualization tools.