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ClosedPosted 428 days ago

DTICI_DnA Data Product Engineer_T9 II 4815

Codersbrain

This posting closed on 2026-10-23.

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Share of postings closed within
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  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 428 days ago

The posting

Data Analyst

## Company Overview (No company overview provided)

## Job Summary The Data Analyst role focuses on translating business needs into actionable, data-driven use cases and supporting aftermarket service operations through data modeling and analytics. This position contributes to enhancing customer experience and operational performance through data analysis and continuous improvement initiatives.

## Responsibilities - Translate business needs into data-driven use cases by collaborating with business and IT stakeholders. - Design, develop, and deploy data models and analytics pipelines to support aftermarket service operations. - Analyze large-scale service and parts data to uncover actionable insights that enhance customer experience and operational performance. - Develop dashboards and reporting tools to monitor service Key Performance Indicators (KPIs) and drive continuous improvement. - Contribute to data governance and quality initiatives to ensure accuracy and reliability of insights. - Mentor junior data analysts and engineers, fostering a culture of data-driven decision-making.

## Qualifications - Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field. - 2+ years of experience in data analytics, preferably in the aftermarket or service industries. - Strong proficiency in SQL, Python, PySpark, and data visualization tools (e.g., Power BI, Tableau). - Experience with cloud platforms (Azure) and big data technologies. - Proven track record of delivering impactful analytics solutions in a complex, cross-functional environment. - Excellent communication and stakeholder management skills.

## Preferred Skills (No preferred skills provided)

## Experience - Minimum of 2 years of experience in data analytics, preferably in related industries.

## Environment (No information about work setting or location provided)

## Salary (No salary information provided)

## Growth Opportunities (No growth opportunities specified)

## Benefits (No benefits listed)

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