AI & Data Analyst
About The Position
The Advanced Technology Centers (ATCs) are the engine for reinvention in clients' transformation journeys, providing seamless access to industry insights and innovative technology solutions. ATCs make a significant impact by solving clients' business problems using innovation, intelligence, industry insights, and new technology skills. In a rapidly changing global environment, ATCs offer clients the strength of geographic diversity, greater resilience, and seamless access to deep industry knowledge, the latest in Gen AI solutions, and tech expertise worldwide. For employees, this network provides opportunities to shape boundaryless career paths in collaborative teams of experts, fostering learning and enabling them to solve complex client challenges. This role is dynamic, starting with an AI Data Analyst Training curriculum, where you will work with Accenture teams to deliver innovative solutions and value to customers.
Requirements
- Must be graduating from the Canada Apprentice Program in August 2026
- Working knowledge of SQL and relational databases, including writing basic queries, joins, and aggregations.
- Working knowledge of Python (or similar languages) for data manipulation, scripting, or simple ETL tasks or data modeling
- Familiarity with data engineering concepts such as ETL pipelines, data warehouses, and basic exposure to BI tools, or version control (Git).
- 6 months - 1 years of experience in a data engineering/visualization role (academic projects or internships count!)
Nice To Haves
- Cloud Platform Exposure - familiarity with AWS, Azure, or GCP.
- Exposure to modern data stack tools such as Databricks or Snowflake
- Ability to work with Power BI, Tableau or similar data visualization tools
- Exposure to ETL tools, APIs, or automation frameworks for data onboarding or transformation
Responsibilities
- Building and maintaining data pipelines by supporting ETL/ELT processes that ingest, transform, and load data from multiple sources.
- Writing and optimizing SQL queries to support data validation, reporting, and analytics use cases.
- Monitoring data quality and reliability, identifying data issues, performing basic troubleshooting, and escalating defects when needed.
- Supporting data platforms and tools, assisting with routine maintenance, job scheduling, and pipeline monitoring.
- Documenting data flows and processes and collaborating with analysts, engineers, and stakeholders to understand data requirements.
Benefits
- Information on benefits is here.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
