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GCP / BigQuery Data Analyst

Company:
Axiom Path
Location:
Charlotte, NC
Pay:
37USD - 47USD per hour
Posted:
December 20, 2025
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Description:

Job Description

Be Part Of A High-Performing Team

Join a leading financial services organization operating at enterprise scale within a highly regulated environment. The team supports critical analytics and data initiatives that enable informed decision-making across retail banking operations. Collaboration, data quality, and compliance-driven execution are core to how the team delivers value, with a strong emphasis on building trusted data foundations that power analytics and reporting.

What’s In Store For You

This role offers the opportunity to work in a sophisticated data ecosystem supporting large-scale banking analytics initiatives. Team members collaborate closely with technical and business stakeholders while contributing to meaningful data solutions in a hybrid work environment that balances onsite collaboration with flexibility.

How You Will Make an Impact

Perform advanced data analysis to identify trends, patterns, and insights

Design and maintain logical and physical data models aligned to business and regulatory requirements

Support enterprise data warehouses and data marts

Develop and document ETL and ELT processes

Work with structured and semi-structured data, including JSON formats

Partner with stakeholders to define KPIs, metrics, and reporting standards

Ensure data quality, lineage, and governance across analytics assets

Maintain accurate documentation for data models, pipelines, and definitions

Are You an Experienced Data Analytics Professional Ready to Make an Impact?

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field

4+ years of experience in data analysis and data modeling

Strong proficiency in SQL and Python

Hands-on experience with Google Cloud Platform and BigQuery

Solid understanding of data warehousing concepts, including fact and dimension tables

Experience with star and snowflake schema design

Familiarity with ETL/ELT processes and Spark

Understanding of retail banking data and regulatory considerations

Strong communication skills with the ability to convey insights to technical and non-technical audiences

#dice

Full-time

Hybrid remote

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