Community

Home >

Jobs >

Senior Analytics Engineer

Ontario, Canada (Hybrid)

Senior Analytics Engineer

2 Months ago • 2-5 Years • Data Analyst

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

github

looker

python

sql

git

innovation

Job Description

ShyftLabs is seeking a Senior Analytics Engineer with 5+ years of data experience, 2+ years in retail/e-commerce, and CRM/Marketing Analytics expertise. Must have experience with Cloud Data warehouses, SQL, Python, R, and Looker. Strong client-facing experience and Machine Learning skills are essential.

Must have:

Data experience
Retail experience
CRM/Marketing
Cloud Data

Good to have:

Client-facing
Machine Learning
Airflow experience
Data quality

Perks:

Healthcare insurance
Learning resources

Position Overview:

We are looking for a Senior Analytics Engineer to join our team here at ShyftLabs! We are currently searching for someone who loves data and analytics and can 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:

5+ years of experience in data and a minimum of 2+ years of retail/e-commerce experience.

CRM/Marketing Analytics experience is a must-have.

Has a Bachelor’s or Master’s Degree in Science, Technology, Engineering, or Mathematics related discipline.

Client-facing experience and exposure to Executive level stakeholders is a must-have.

Experience developing Machine Learning models is a must-have.

Has worked on Cloud Data warehouses such as Snowflake Or BigQuery.

Experience with SQL, Python, R, and Looker.

Experience in distributed source control such as GIT in an Agile-Scrum environment (Airflow experience is a plus).

Preferred Qualifications:

Client-facing experience is highly desired.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.

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is able to be fully remote within Canada. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.

undefinedundefinedundefined

View Full Job Description

Upload your resume, increase your shortlisting chances by 80%