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Remote Google Warehouse Jobs (NOW HIRING)

Catch Co

Growth Marketing Analyst (MX)

IL · On-site +1

Growth Marketing Analyst (Full-Time, Remote) About the Company We're CatchCo, makers of Mystery ... SQL proficiency (writing queries against warehouse data, not just using a GUI) * Excel/Google ...

ACS Consultancy Services

Data Modeler

Albany, NY · Remote

$56 - $72.75/hr

Data Modeler Location : Remote We are currently seeking candidates who meet the following ... Support data warehouse, data lake, and master data management projects. * Use modeling tools like ...

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of ... data warehouse ETL pipelines build and design. Hands-on with GCP data and analytics services ...

HARAMAIN SYSTEMS INC.

$60 - $65/hr

Dallas, TX/Chicago, IL Remote Role Duration: 12 Months Position Summary seeking an experienced ... Coordinate data warehouse , reporting, and dashboard development initiatives. * Ensure alignment ...

Apex Systems

Software Engineer

Rochester, MN · Remote

Develop services related to data warehousing, big data, cloud computing, business intelligence ... Google and Azure cloud environments. Data Engineer x2 Location: Rochester, Minnesota (Remote) Role ...

GPC - Genuine Parts Company

The role will also help in providing security guidance on on-prem as well as Google Cloud ... Design and Lead the Supply Chain Warehouse Management engineering solutions, working with Vendor ...

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Remote Google Warehouse information

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How much do remote google warehouse jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for remote google warehouse in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Warehouse vs Remote Data Center Technician?

AspectRemote Google WarehouseRemote Data Center Technician
Required CredentialsBasic warehouse operations, inventory managementNetworking, hardware troubleshooting, certifications like CompTIA A+
Work EnvironmentWarehouse, logistics, inventory areasData centers, server rooms, technical facilities
Employer & Industry UsageGoogle logistics and supply chainGoogle data infrastructure and server maintenance
Common Search & ComparisonLogistics, warehouse jobs at GoogleData center support roles at Google

The Remote Google Warehouse primarily involves logistics, inventory management, and warehouse operations, often requiring basic organizational skills. In contrast, the Remote Data Center Technician focuses on maintaining and troubleshooting data center hardware and network equipment, requiring technical certifications. Both roles support Google's infrastructure but differ significantly in work environment and skill requirements.

What are the typical responsibilities and collaboration expectations for a Remote Google Warehouse team member?

As a Remote Google Warehouse team member, your primary responsibilities often include managing digital inventory, ensuring accurate data entry, and supporting logistics operations through cloud-based tools. You may collaborate closely with on-site warehouse staff, supply chain managers, and IT specialists to coordinate shipments, resolve discrepancies, and maintain real-time inventory records. Effective communication skills and the ability to work independently are key, as much of the coordination happens virtually. Regular meetings and updates ensure alignment across teams, and there may be opportunities to contribute to process improvements or automation initiatives.

What is a Remote Google Warehouse job?

A Remote Google Warehouse job typically refers to a position where employees manage inventory, process orders, or oversee logistics for Google’s products or cloud infrastructure, but do so remotely rather than in a physical warehouse. These roles may involve data entry, supply chain management, or coordinating shipments using digital tools and platforms. Employees collaborate with on-site teams and use Google’s internal systems to ensure efficient warehouse operations. Such jobs require strong organizational and communication skills, as well as familiarity with logistics software.

What are the key skills and qualifications needed to thrive as a Remote Warehouse Associate at Google, and why are they important?

To thrive as a Remote Warehouse Associate, you need strong organizational skills, inventory management experience, and typically a high school diploma or equivalent. Familiarity with warehouse management systems (WMS), barcode scanners, and inventory tracking software is often required. Attention to detail, time management, and effective communication are important soft skills for this role. These skills ensure accurate order fulfillment, efficient inventory control, and smooth coordination within distributed teams.
What cities are hiring for Remote Google Warehouse jobs? Cities with the most Remote Google Warehouse job openings:
What are the most commonly searched types of Google Warehouse jobs? The most popular types of Google Warehouse jobs are:
What states have the most Remote Google Warehouse jobs? States with the most job openings for Remote Google Warehouse jobs include:
Remote Google Warehouse jobs near you
Growth Marketing Analyst (MX)

Growth Marketing Analyst (MX)

Catch Co

IL • On-site, Remote

Full-time

Posted 23 days ago

Job description

Growth Marketing Analyst (Full-Time, Remote)
About the Company
We're CatchCo, makers of Mystery Tackle Box - the original fishing subscription box since 2012. Our mission is to Rescue Humanity From the Indoors. Today, we help millions get outside with products sold at Walmart, Dick's Sporting Goods, Amazon, and our website. We've moved past the venture-backed hype and are now under new ownership, building a lean, profitable, and lasting business. If you believe in getting people outdoors and doing work that matters, you'll fit right in.
Position Overview
Investigate, reconcile, and build the data infrastructure for a subscription ecommerce company (Mystery Tackle Box / Catch Co) that is rebuilding its growth marketing function from scratch. The data environment spans multiple platforms with known quality issues, conflicting sources, and no unified reporting layer. This role is equal parts detective work and system building.
Core Responsibilities
  • Investigate and reconcile data across Recharge (subscription management), Shopify (ecommerce), Klaviyo (email/SMS), Source Medium (analytics reporting), Snowflake (warehouse), and paid ad platforms (Meta, Google)
  • Surface data quality problems proactively. The current environment has known discrepancies across platforms that require investigation and resolution.
  • Build cohort level retention and LTV analysis from raw transactional data, segmented by acquisition channel, subscriber tier, and plan type
  • Develop and maintain a channel level payback model connecting acquisition costs to downstream subscription revenue, churn, and lifetime value
  • Support financial model updates by providing clean, segmented inputs (tier weighted COGS, gift vs paid subscriber separation, adjusted churn rates)
  • Validate and extend the existing Snowflake ETL pipeline from Recharge, backfill historical data where gaps exist, and work toward a single source of truth
  • Produce channel level performance reporting for recurring business reviews and leadership reporting packages.
  • Support A/B test design and statistical analysis for landing pages, email flows, and ad creative.
What Makes You the Right Fit
  • You're a data detective, not a dashboard reader. When numbers don't add up across platforms, you dig until you find out why-and you document what you found so it doesn't happen again.
  • You're comfortable with ambiguity. Messy data, missing join keys, and conflicting sources don't stop you-they're the job, and you know how to work through them systematically.
  • You build for permanence. You don't just answer the question in front of you; you build the model, pipeline, or framework that answers the next ten questions too.
  • You surface problems before being asked. If something looks off, you flag it-with context, a hypothesis, and ideally a fix.
  • You translate data into decisions. Your output isn't a spreadsheet; it's a clear narrative that non-technical stakeholders can act on.
  • You use AI tools as a force multiplier. You reach for LLMs, code interpreters, and AI assisted analysis when they can accelerate your work. Not as a crutch, but as a way to move faster through data cleaning, hypothesis generation, and exploratory analysis.

Required Skills
  • SQL proficiency (writing queries against warehouse data, not just using a GUI)
  • Excel/Google Sheets at an advanced level (pivot tables, lookups, data modeling, large dataset manipulation)
  • Demonstrated comfort using AI/LLM tools (Claude, ChatGPT, Copilot, or similar) for data exploration, code generation, and analytical workflows
  • Demonstrated ability to reconcile conflicting data sources and determine which source to trust
  • Experience building cohort retention curves and LTV models from raw transactional data
  • Experience working with ecommerce or subscription data (Shopify, Recharge, Stripe, or equivalents)
  • Comfortable working with messy, incomplete, or conflicting data where clean join keys do not exist
  • Self directed problem solver who surfaces issues before being asked. This is not a ticket driven reporting role.
  • Strong written communication in English for presenting findings to non technical stakeholders

Preferred Skills
  • Experience with Snowflake or similar data warehouses, including pipeline validation and data engineering
  • Experience with ad platform data (Meta Ads Manager, Google Ads) and understanding of attribution models
  • Experience with Klaviyo or similar email/SMS marketing platforms
  • Experience building AI-assisted analytical workflows (e.g., using LLMs for data reconciliation, anomaly detection, or automated reporting)
  • Experience with Source Medium or similar analytics reporting tools
  • Python or R for data manipulation and automation
  • Financial modeling experience (LTV, payback period, contribution margin)
  • Experience in a subscription box or D2C subscription business

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