Data Analyst

Responsibilities

The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and analysis that drives decision-making. Working alongside data scientists and software engineers, you will gather requirements, build and maintain dashboards, and improve the accuracy and consistency of data across multiple systems. Scope and level of ownership will be tailored to the candidate's experience

Collect, clean, and validate data from multiple engineering systems, reconciling inconsistencies across sources

Partner with engineering stakeholders to understand reporting needs and translate them into clear, actionable dashboards and reports

Build and maintain SQL queries and Python scripts to automate recurring data pulls and reduce manual reporting work

Conduct root-cause and trend analysis to surface issues and opportunities for improvement

Maintain documentation for data sources, definitions, and reporting logic so outputs are consistent and repeatable across the team

Perform data quality checks, flagging and resolving discrepancies before they reach stakeholders

For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior analysts

Preferred

MS preferred

Experience mentoring or reviewing the work of others is a plus for more senior candidates

Benefits

Opportunity for career growth within a global organization

Amphenol TCS is manufacturing the industry's high-speed, high-density connectors and backplane systems.

Wallingford, Connecticut, USA

http://www.amphenol-tcs.com/

Distribution of Different Job Fields Receiving Sponsorship

67

Represents job field similar to this job

Engineering and Development

Marketing

Sales

Trends of Total Sponsorships

*2026

(1)

2024

(4)

2021

Late Stage

Leadership Team

Ben Rubovitch

General Manager

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Qualifications

A good candidate should have 3+ years of experience as a Data Analyst or in a similar analytics role; required experience will scale with the level of the role

Bachelor's degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field required

Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources

Strong communication skills, able to gather requirements from non-technical stakeholders and explain findings clearly to mixed audiences

SQL skills, with the ability to write queries beyond pulling pre-built reports

Proficiency in Python (pandas or similar) for data cleaning, transformation, and automation

Experience with a BI/visualization tool (e.g., Tableau, Looker, Power BI)

MS preferred

Experience mentoring or reviewing the work of others is a plus for more senior candidates

A good candidate should have 3+ years of experience as a Data Analyst or in a similar analytics role; required experience will scale with the level of the role.

Required skills

Data Cleaning, Data Validation, Looker, Power BI, Python, SQL, Tableau, pandas

Preferred skills

MS preferred

Experience

3+ years