reporting and analytics engineer

$122,720 - $124,800/Yr

Randstad - Roanoke, TX

posted about 2 months ago

Full-time - Mid Level
Roanoke, TX
Administrative and Support Services

About the position

The Reporting and Analytics Engineer position is a contract role focused on enhancing and updating the current reporting infrastructure for the client. The primary goal of this migration project is to transition from the existing Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Exadata systems to a more modern setup utilizing Snowflake and Power BI, hosted on AWS and Azure platforms. This shift is essential to address several challenges, including data quality issues, the need for self-service capabilities, and alignment with the Enterprise Information (EI) and Workplace Investing (WI) cloud strategies. The successful candidate will play a crucial role in providing a better reporting experience, reducing time to market, and supporting the decommissioning of legacy hardware and data warehouses. In this dynamic Agile engineering position, the Reporting and Analytics Engineer will collaborate closely with teammates on the development team and peer data scientists. Responsibilities will include assisting with data analysis, reporting, and research, conducting tactical data extracts, and building balanced ETL data pipelines. The engineer will also deploy AI and machine learning models via RESTful APIs, structure model output data, and create reports to measure the efficiency of deployed models. Candidates who possess an inquisitive and consulting approach, excellent SQL skills, and a strong background in building and deploying data movement solutions or data-centric APIs will find this role particularly rewarding. The position offers an opportunity to deliver innovative products and services that significantly improve customer experiences.

Responsibilities

  • Assist with data analysis, reporting, and research.
  • Conduct tactical data extracts and build balanced ETL data pipelines.
  • Deploy AI/Machine learning models via RESTful APIs.
  • Structure model output data and build reports to measure deployed model efficiency.
  • Collaborate with teammates on the development team and peer data scientists to deliver reporting applications and AI models into production.

Requirements

  • Bachelor's Degree in Computer Science or a similar field.
  • At least 5 years of experience in building and deploying data movement and data transformation workflows and pipelines.
  • Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
  • At least 2 years of proven web-service development experience with Java and/or Python.
  • At least 1 year of experience in GenAI, preferably on Microsoft OpenAI.
  • Experience interacting with financial services and/or digital channel data (Web clicks, Phone logs, email campaigns) is a plus.
  • Hands-on experience with AWS and/or Azure infrastructure is strongly preferred.

Nice-to-haves

  • Familiarity or exposure to VetorDB like RedisCache or AWS Opensearch would be an added advantage.

Benefits

  • Health insurance coverage
  • 401K contribution
  • Incentive and recognition program
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