Data Analyst

Role & Responsibilities

This role focuses on leveraging data science and cloud technology to build robust data pipelines, deliver actionable insights, and automate analytical processes.

• Advanced Analytics:

  Conduct complex data analysis and modeling using

  Python (Pandas, NumPy)

  and

  MySQL

  to support business intelligence and strategic decision-making.

• Data Pipeline Development:

  Design, implement, and maintain scalable

  ELT/ETL workflows

  for data ingestion, transformation, and warehousing across various sources.

• Data Science & ML/DL:

  Develop and deploy predictive models using

  Machine Learning

  and

  Deep Learning

  techniques.

• Cloud & Data Warehousing:

  Apply

  Cloud Knowledge

  to manage and optimize data assets within a modern

  Data Warehousing

  environment.

• Reporting & Visualization:

  Create and maintain interactive dashboards using

  Tableau/PowerBI

  to communicate key insights effectively to stakeholders.

• Automation:

  Automate data extraction, quality checks, reporting, and model deployment processes.

Preferred Candidate Profile

We are looking for a skilled professional with a strong technical background in data and cloud technologies.

• Core Technical Skills:

• Expertise in

  Python

  (must have

  Pandas

  and

  NumPy

  ).
• Strong proficiency in

  MySQL

  and complex SQL query writing.
• Hands-on experience with

  Data Warehousing

  and

  Cloud Knowledge

  (e.g., cloud data services).
• Practical experience in designing and managing

  ELT/ETL workflows

  .
• Demonstrated proficiency with a

  BI tool (Tableau/PowerBI)

  .

• Analytical & Scientific Background:

• Solid

  data science background

  with a focus on

  Data Analytics

  .
• Proven experience in applying

  ML and Deep Learning

  methodologies.

• Desired Experience:

• Experience contributing to

  backend

  data services or systems.

Prefered Experience:

Candidates with 2.-5 years of experience are preferred. Immediate joinees are desired.