Data Analyst: Automate & Build Data Pipelines

Amphenol ICC

Nashua (NH)

On-site

USD 85,000 - 120,000

Full time

4 days ago
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Job summary

Amphenol Communications Solutions, part of Amphenol Corporation, is seeking a Data Analyst in Nashua, NH to modernize manual Excel workflows into scalable data pipelines.

You will partner with cross-functional teams to gather requirements, design automated solutions using Python and SQL, and deliver reliable data outputs that drive informed decision-making. The role emphasizes clean data, production-ready scripts, and clear documentation.

Qualifications

  • 3+ years as Data Analyst or similar role with automation experience.
  • Experience building automated data pipelines and ETL processes.

Responsibilities

  • Document and map current data flow including inputs, transformations, manual steps, and outputs.
  • Collaborate with stakeholders to understand their process requirements and translate them into automated solutions.
  • Redesign and implement automation using Python and SQL, eliminating fragile spreadsheet logic and replacing manual work with production-ready scripts.
  • Automate data ingestion, cleaning, transformation, and delivery across multiple sources.
  • Build validation checks to ensure the automated output matches and improves on the manual process.
  • Develop reports, dashboards, or templates so non-technical stakeholders can consume outputs without touching raw data.
  • Document the new workflow clearly and enable handoff to the broader team.

Skills

Python
SQL
Excel Advanced
ETL workflows
Data visualization

Tools

Docker
openpyxl
fastAPI
Django
JSON handling

Job description

Amphenol Communications Solutions, part of Amphenol Corporation, is seeking a Data Analyst in Nashua, NH to modernize manual Excel workflows into scalable data pipelines.

You will partner with cross-functional teams to gather requirements, design automated solutions using Python and SQL, and deliver reliable data outputs that drive informed decision-making. The role emphasizes clean data, production-ready scripts, and clear documentation.

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