Data Integration Specialist (Contractor)

Alloy.ai • Toronto, ON

26d • Hybrid

About The Position

At Alloy.ai, we work with consumer goods companies that make the products we eat, wear, and use every day, as well as the ones we occasionally splurge on. We’re tackling a real and complex problem for them—managing supply and demand in the face of constantly changing customer behavior, highly complex supply chain networks, 40-year-old data standards and labor-intensive manual processes. Alloy.ai is a fast-growing, well-funded startup with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another. We encourage people of all backgrounds to apply. Alloy.ai is committed to creating an inclusive culture, and we celebrate diversity of all kinds. Our network-based data platform is one of Alloy.ai’s core strategic assets. When we work with manufacturers, we are able to quickly integrate disparate information shared by their trading partners, including retailers, material suppliers, distributors and logistics providers, and we can do that up to an order of magnitude faster than other solutions. Most of our integration infrastructure with more than 400 active integrations is fully reusable, and connections to common trading partners are maintained across multiple Alloy customers. Our implementation team is in charge of building, and deploying data for customers, ensuring integration best practices are adhered to. This contractor role extends our implementation team and will interface with integration specialists, project managers and our engineering team. In this role, you will help a project team deliver retailer data integrations to our customers. Your task is to devise data mapping procedures for new retailer data feeds based on existing best practices for feed design and implementations and to deliver them to our customers. You will write data transformations for our data pipeline which processes our customers’ data at any time of day. You will get to know the data back office of retailers you may know from your daily shopping and learn more about some of your favourite brands’ businesses. To succeed in this position, you should possess curiosity, creativity, good problem solving skills and be an effective communicator all while being able to work successfully in a team and independently.

Requirements

• You are adept at data analysis and data wrangling through programming (e.g. pandas, dplyr), database querying (SQL), or spreadsheets (Excel).
• You can successfully work independently on projects and deliver to deadlines.
• Ability to communicate regularly to stakeholders and identify delays or roadblocks early to ensure key deadlines and milestones are met.
• You are intellectually curious, especially about data, and are constantly eager to find out how things work and how to fix them.
• You are a self-starter, and actively seek advice from other team members to maximize the quality of your work.
• You are an effective communicator both verbally and written with a knack for translating technical details to non-technical audiences.
• You are organized, can effectively keep track of a long to-do list in order to prioritize and deliver tasks on time. You leave no loose ends!

Nice To Haves

• Experience working with versioning tools and code review.

Responsibilities

• Design and build new integrations for retailer data sources based on customer requirements to unlock powerful cross-retailer analyses combining data from various, disparate data sources.
• Critically QA and test your work.
• Analyze data for issues and report back possible solution paths to team members if you cannot solve them.
• Facilitate quality checks and provide User Acceptance Testing dashboards for integrations prior to customer sign off.
• Work together with a project team of project managers, integrations specialists, and data engineers to deliver a stellar customer experience throughout the implementation journey.
• Deliver against a project plan with deadlines and timelines while providing progress as necessary to internal stakeholders.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees