Analytics Engineer

Job Responsibilities:

• Design quality technical solutions to meet client business objectives.
• Developing and testing data models to capture clients KPIs and data transformations.
• Working with our stakeholders to develop end-to-end Cloud-based solutions with a heavy focus on applications and data.
• Contribution to the vision, understanding our product roadmap, integrating business value with experience, and contributing towards building an engineering culture within the team.
• Delivering highly reliable software and data pipelines using automation, version control, continuous integration, testing, and security that will aggregate the reporting metrics needed in a Retail Data Platform.
• Ensure consistency in delivering quality solutions
• Resolve and identify technical issues continuously
• Teach and learn new technologies and tools within the industry

Basic Qualifications:

• Has 3+ years of experience in Data Analytics and a minimum of 1+ years of retail experience.
• Bachelor’s or Master’s Degree in Science, Technology, Engineering, or Mathematics related discipline
• Has worked on Cloud Data warehouses such as Snowflake Or BigQuery.
• Must have at least 3 years of experience with SQL, Python, R, and Looker reporting and dashboarding.
• Experience in distributed source control such as GIT in an Agile-Scrum environment (Airflow experience is a plus).
• Experience with Machine Learning is considered an asset.
• Client-facing experience is highly desired.
• Working with Executive level shareholders is considered an asset.
• Ability to make a difference and lasting impact.
• Can identify ways to improve data quality and reliability. 
• Is aligned with the latest data trends or inconsistencies to simplify the data insights.
• Has excellent verbal and written communication skills.
• A commitment to teamwork with excellent interpersonal skills is essential.