Analytics Engineer, Loop Returns
$106-159k
+ Equity. Salary may differ for Canadian and UK candidates
More information about location
Exchange and returns platform for Shopify brands
Open for applications
Exchange and returns platform for Shopify brands
201-500 employees
Open for applications
$106-159k
+ Equity. Salary may differ for Canadian and UK candidates
More information about location
201-500 employees
Company mission
Loop Returns' mission is to make merchants successful while helping people become more mindful of how they consume by providing seamless product returnal, exchange, and logistics services.
Role
Who you are
- 3+ years of hands-on experience as an analytics engineer, data analyst, data engineer, or equivalent
- 1+ year of hands-on experience working with dbt
- Significant experience in data modeling and data warehouse architecture, with solid SQL experience
- Business acumen and experience with one or more functional areas such as Product, GTM, Finance, Marketing, Customer Experience
- Familiarity with software development best practices applied to data and analytics (DataOps), primarily related to version control, CI/CD, automation, and testing
- Self-motivated and self-managing, with a solution-oriented mindset
- Exceptional verbal, written and listening skills and the ability to bring consensus and communicate with a diverse audience
Desirable
- Familiarity with dimensional modeling/data warehousing concepts
- Python experience
- Experience building and maintaining semantic layers and self-service content in Looker for non-technical end-users
- Experience with project management
- SaaS, e-commerce, and startups
What the job involves
- As an Analytics Engineer at Loop, you’ll significantly impact our ability to solve merchant problems and fulfill merchant needs
- Our cloud-based data warehouse fuels the great work our Analytics and ML teams do
- Your job is to model the raw data into clean, well-defined, analytics-ready datasets, acting as the bridge between Data Engineering, Analytics, and ML and championing scale across our data architecture
- Design, develop, and extend production-quality dbt code with an eye toward performance, scale, and maintainability
- Through a DataOps lens, collect business requirements, define successful analytics outcomes, and produce scalable database designs, data models, and reusable data assets
- Support our data analysts, data scientists, ML engineers, and other team members by building, reviewing, and approving data model changes that help us continuously deliver value back to the business
- Collaborate with the Analytics and Data Engineering teams on data pipelines, ETL, data analysis and visualizations, etc
- Develop and maintain documentation that increases the understanding and utilization of our data assets
- Support the implementation of our analytics, semantic, and metrics layers
- Support the execution of medium to large-scale data projects that have a significant impact on multiple stakeholders across Loop
Our take
Despite the convenience of shopping online, eCommerce brands face the significant challenge that customers are unable to try a product before they buy, and this ultimately leads to product returns. This can result in revenue and customer loss, complicated logistics, and customer dissatisfaction, problems that could be resolved by offering exchanges instead of returns.
Loop Returns provides an exchange and returns platform for Shopify brands, providing the logistic networks, automation tools, and analytics essential for facilitating seamless product exchanges. The company claims that its exchange-focus approach can help Shopify brands turn costly returns into new sales, increase customer satisfaction, and help brands contribute toward sustainable commerce.
Whilst the company will certainly face competition from alternative Shopify-integrated logistics providers, Loop Returns stands out with its unique approach of treating every product return as a potential exchange and in 2023, on the back of substantial funding, released an app for Shopify merchants - Benchmarks - which acts as a refund comparison and analytics platform. Through this approach, the company claims that it can help brands save up to 50% of revenue on their returns, retain customers that would otherwise be lost, and prevent the wasting of products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jan 2023
$50m
SERIES B
Jul 2021
$65m
SERIES B
Total funding: $125.5m
Company values
- Be A Human First - The world anticipates workers, but we show up as humans. We check in on the wellbeing of others and take care of ourselves, so we can all show up to Loop as our best selves
- Clear Is Kind - We’re kindest when we’re transparent and honest with others to help them succeed. We ask clarifying questions and seek to understand instead of being understood
- Go Get Results - We don’t wait. We each take personal responsibility to drive action. We move quickly, but we don’t hurry. We pursue constant improvement — so when we know better, we do better
- Land The Plane - We hold ourselves accountable to our own results and behaviors. We push to make decisions, and then move on them when they’re made. We finish what we start
- Make Merchants Successful - We exist to make our merchants more successful, and we’re obsessed with that challenge. We impact real problems and prove real value by being experts in our industry
Company HQ
Columbus, Ohio
Articles
Leadership
Jonathan Poma
(CEO)Strategist at DYNAMIT from 2010 to 2013. Founder and CEO of Rocket Code from 2014 to 2018.
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