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SupplyHouse.com
SupplyHouse.com
501 – 1.000 Angajați
Sponsor pentru viza H1BComerț electronicIndustria prelucrătoareLogistică
SupplyHouse.com este un retailer de comerț electronic care oferă produse pentru instalații sanitare, încălzire, climatizare, ventilație și electricitate. Catalogul său include articole PEX, fitinguri, supape, unelte și alte piese și materiale destinate profesioniștilor din domeniu și clienților care preferă să își realizeze singuri proiectele. Compania combină o gamă largă de produse cu servicii orientate către clienți, precum expedierea rapidă și returnările ușoare, ajutându-i să procure materiale pentru proiecte de instalare, întreținere și reparații.
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Locurile de muncă ale companiei

Hybrid Analytics Engineer at SupplyHouse.com

Build SupplyHouse.com’s BigQuery data layer for HVAC, plumbing, heating, and electrical e-commerce. Establish consistent metrics and enable dependable self-service analytics.

USStatele Unite ale AmericiiAZArizonaFLFloridaKYKentuckyNVNevadaNJNew JerseyNYNew YorkNCCarolina de NordOHOhioRIRhode IslandSCCarolina de SudTNTennesseeTXTexasVAVirginiaWAWashington
72.440 $ – 90.550 $ / an
HibridNormă întreagăJuniorNivel mediuLimbă Obligatorie: englezăInginer de analiză a datelor
BigQueryCloudSQL

Descriere

  • Create a layered, version-controlled BigQuery data model with Dataform
  • Replace ad hoc scheduled queries with governed, reusable, tested models
  • Establish and maintain authoritative definitions for core business metrics
  • Develop automated data tests and continuous integration workflows
  • Document data models, metric definitions, and lineage
  • Collaborate with analysts and business partners to enable dependable self-service reporting
  • Work with IT to support accurate, timely ingestion of raw data
  • Contribute to evaluating and defining the future business intelligence layer
  • Report to the Senior Manager of Data Analytics
  • Build SupplyHouse.com’s production data layer and make trusted data accessible and useful across the organization

Cerințe

  • Bachelor’s degree in a quantitative, technical, or related discipline
  • At least two years of experience in data modeling
  • Advanced SQL skills and practical experience developing production data models in a cloud data warehouse
  • Experience with a data transformation framework such as dbt, Dataform, or an equivalent tool
  • Analytics-focused software engineering practices, including Git, testing, code review, and continuous integration
  • Experience with layered or dimensional modeling and a history of producing maintainable, well-documented datasets
  • Current authorization to work full time in the United States
  • Availability Monday through Friday from 8:00 a.m. to 5:00 p.m., with flexibility across time zones
  • Ability to complete a thorough background check

Beneficii

  • Affordable medical, dental, vision, and voluntary life insurance plans
  • 401(k) plan with a company match of up to 4%
  • Paid vacation, sick leave, and holidays
  • Company-paid basic life insurance and long-term disability coverage
  • Discounted auto, home, and pet insurance
  • Flexible Spending Account (FSA)
  • Confidential mental health, financial planning, and legal services through the Employee Assistance Program
  • Company equipment and a one-time $250 work-from-home stipend
  • Annual professional development budget of $750
  • Monthly $25 Grubhub credit
  • Employee rewards and recognition program
  • Ownership for All program with financial benefits tied to company growth and achievements
  • Wellness programs and a Flex-Time Policy
  • Annual merit increases and bonus opportunities
  • Hands-on training
  • Diversity and inclusion programs
  • Internal career mobility opportunities
  • Volunteer Paid Time Off
  • Donation drives and employee-nominated contributions
  • Monthly town halls, regular one-on-one check-ins, employee listening programs, and a company-wide ideas form

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