Description
Imagine being part of a team that's not just shaping the future but actively driving it.
At Davies North America, we're at the forefront of innovation and excellence, blending cutting-edge technology with top-tier professional services.
We're on the lookout for a full-time Senior Associate - Data / AI. As a Senior Associate - Data / AI, you will be building and maintaining the foundational data architecture.
Key Responsibilities
In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Senior Associate - Data / AI position may include:
- Assembling large, complex sets of data that meet non-functional and functional business requirements using the medallion architecture.
- Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes via meta data orchestration.
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Microsoft technologies. (Azure data factory, Fabric, SQL Server, and PowerBI)
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
Skills, Knowledge & Expertise
- Bachelor degree in computer science or related field.
- Ability to build and optimize data sets, ‘big data’ data pipelines and architectures with ADF.
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
- 3-5 years experience managing BI or Data team.
- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.
- Excellent written and verbal communication skills, demonstrated through the preparation of reports and presentations for diverse audiences.