Data Integration Specialist, Alloy
Contractor
Compensation: $30 - $30 an hour
Demand and inventory insights for consumer brands
Open for applications
Demand and inventory insights for consumer brands
21-100 employees
Open for applications
Compensation: $30 - $30 an hour
21-100 employees
Company mission
To help companies operate more responsive and efficient supply chains that intelligently adjust to consumer demand.
Role
Who you are
- 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!
- Preferably, you have some experience working with versioning tools and code review
What the job involves
- 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
- 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
- Contract role is hourly with an expected initial scope of 20 hours a week with daily, set hours overlapping with 9am - 5pm EST. There is potential for additional hours up to 40 hours a week, with flexibility to set your own schedule over time if deliverables are being met
- This is a 6 month contract position to start with a potential opportunity for extension
- This is a month to month contract position with an initial commitment of 6 months
Our take
Consumer demand is changing rapidly, particularly for eCommerce brands, and customer expectations are rising. The ability to swiftly identify and meet these demands is a competitive necessity. Alloy.ai is a digital-native company helping brands monitor and analyze sales and inventory, to leverage sales insights and scrub out inefficiencies in their supply chain.
The cloud-based aspect of Alloy.ai is likely to prove attractive to companies increasingly working with large-scale data buckets, a service that harnesses the power of data at a macro and micro level is both future-looking and profit-promising. To date, this has secured Alloy.ai some impressive clients, including Facebook, Bosch and Ferrero.
The company is explicit about its engineer-oriented company structure, and this is likely to have contributed significantly to its swift innovation. Alloy.ai now has a raft of products and successful investments under its belt, and if it can capitalize on the increased demand for detailed and real-time data it could stand to continue making real headway.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (2 rounds)
May 2018
$12m
SERIES A
Mar 2016
$3.3m
SEED
Total funding: $15.3m
Company HQ
The East Cut, San Francisco, CA
Leadership
Joel Beal
(Co-Founder & CEO)Prior to co-founding Alloy.ai in 2016, Joel spent 3 years at Addepar as a VP of Product and 2 years at Applied Predictive Technologies as an Engagement Manager.
Logan Ensign
(CCO & Head of Product)Logan joined Alloy.ai in 2018 as a Director of Client Solutions, moving into the role of VP of Client Solutions in 2020 and CCO/Head of Product in 2023. Previously, he spent 2 years at InsideSales as a Team Lead and Manager of Momentum Strategy.
Lasse Holmstedt
(CTO)Lasse joined Alloy.ai in 2016 as a Founding Software Engineer, he then moved into the role of Director of Engineering in 2019 and VP of Engineering in 2020. Previously, he was a Senior Software Engineer and Technical Lead at Nokia.
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