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Data Analytics - Reporting & DE (Manufacturing / Supply Chain)

Nityo Infotech CorporationSanta Clara, CA🇺🇸United StatesPosted Aug 17, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your advanced SQL, Python, and data visualization skills within the dynamic manufacturing and supply chain sector, contributing to impactful system design and implementation. You'll thrive here if you have a strong background in contract manufacturing or related industries and are eager to expand your expertise with cloud platforms like AWS and Databricks, making this a rewarding next step in your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Santa Clara, CA, United States
Posted
4 weeks ago

Job Description

It's open for contract and full-time both.

 

Data Analytics - Reporting & DE (Manufacturing / Supply Chain)

Required/Mandatory:

  1. Power BI or Tableau 
  2. Advanced SQL (Hands on coding)
  3. Python
  4. Relevant industry experience in Contract Manufacturing, Semiconductors, or Computer industry
  5. Experience in Operations and/or Supply Chain
  6. Experience with AWS and Databricks
  7. Familiar with SDLC (software development life cycle) and end to end pipeline design and orchestration

 

Role Purpose
The purpose of this role is to Data Analytic and design of the system by defining the various functionalities, architecture, layout and implementation for a client

Key skills are:
Data & Analytics Technologies
SQL Advanced querying, data extraction, analysis.
Python Data processing, analytics, scripting.

Data Visualization
Power BI Dashboard creation, interactive reports.
Tableau Data visualization and analytics dashboards.

Cloud & Data Platforms
AWS
Azure
Databricks

Familiarity with modern data platforms:
Data lakes
Data warehouses
Snowflake, Redshift

Data Engineering & Quality
Understanding of: Data models, Data pipelines, Data mappings

Data quality concepts:- Completeness, accuracy, consistency, timeliness
Ability to define validation rules, KPIs, and reconciliation logic.

Manufacturing & Operations Data Systems
Knowledge of: Manufacturing Execution Systems (MES), Test data systems, Supply chain systems, working with manufacturing event data, test logs, build data, quality metrics.

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