Analytics Engineer

Position Overview:

We are looking for an Analytics Engineer to join our team here at ShyftLabs! We are searching for someone who loves data and analytics and is able to both understand and develop overall business strategies. A blend of great technical skills and interpersonal skills is highly desirable in this role, which will be working alongside enterprise clients.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

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.

Additional Information

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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