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2 дня назад

Data Analyst 3 - Insights Delivery Merchandising Analytics (SQL/BigQuery)

102 500 - 170 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Analyst 3 - Insights Delivery Merchandising Analytics (SQL/BigQuery): Building scalable analytics solutions, data pipelines, analytical datasets, and self-service reporting products for merchandising and planning with an accent on SQL, BigQuery, Looker/LookML, DBT, and Airflow. Focus on modernizing reporting from Tableau to Looker, validating data quality, optimizing performance, and supporting business-critical production workflows.

Location: Seattle, WA, US. Conditions: 1600 7th Avenue, Seattle, Washington 98101.

Annual pay range: $102,500–$170,500. Performance-based incentives may apply.

Company

hirify.global is a retail organization whose merchandising analytics team delivers data products and reporting used for merchandising and planning decisions.

What you will do

  • Design, develop, and maintain scalable data pipelines, analytical datasets, and reporting solutions using SQL, BigQuery, Looker, and LookML.
  • Build Looker Explores, semantic models, dashboards, and self-service analytics for merchandising, planning, finance, inventory, markdown, sales, and holiday reporting.
  • Gather requirements, define business metrics, and translate analytical needs into reliable technical solutions with business and technology stakeholders.
  • Modernize reporting by migrating legacy Tableau solutions to Looker and aligning planning reports with new systems, metrics, and methodologies.
  • Maintain Airflow and DBT transformation and orchestration workflows; test, reconcile, validate, troubleshoot, and optimize data products.
  • Support production reporting, investigate data discrepancies, participate in code reviews, and use AI tools to accelerate analysis and development.

Requirements

  • Bachelor’s degree in computer science, information systems, data analytics, statistics, mathematics, engineering, or a related field, or equivalent practical experience.
  • 4+ years of professional experience in data analytics, business intelligence, analytics engineering, or a related technical field.
  • Advanced SQL skills, including complex joins, window functions, CTEs, aggregations, and query performance optimization.
  • Hands-on experience building and maintaining ETL/ELT pipelines with scheduling and orchestration using Apache Airflow and/or DBT.
  • Experience with cloud data warehouses, preferably Google BigQuery, and with BI platforms such as Looker/LookML, Tableau, or comparable tools.
  • Experience building analytical data models, reusable reporting datasets, dashboards, and self-service analytics solutions.
  • Familiarity with Git-based version control, code reviews, collaborative development, data investigation, troubleshooting, and root-cause analysis.
  • Ability to translate ambiguous business questions into technical requirements, communicate complex data concepts, manage multiple deliverables, and collaborate with technical and non-technical stakeholders.
  • Strong attention to detail, commitment to data accuracy, willingness to support production workflows, and experience using AI tools to accelerate analysis, development, and review.

Nice to have

  • Hands-on LookML experience with models, Explores, dimensions, measures, and dashboards.
  • Google Cloud Platform and BigQuery experience, plus experience migrating BI platforms or modernizing legacy analytics infrastructure.
  • Retail, merchandising, supply chain, inventory management, or financial planning analytics experience.
  • Understanding of sales, demand, inventory, gross margin, markdown, and product performance metrics.
  • Experience supporting business-critical reporting, resolving production data issues, working in Agile environments, and collaborating across business and engineering teams.

Culture & Benefits

  • Full-time employee benefits include medical, vision, dental, retirement, paid time away, life insurance, and disability coverage.
  • Additional benefits include merchandise discounts, EAP resources, holidays, PTO accruals, and possible performance-based incentives.
  • Production support may require occasional extended hours to maintain business continuity.
  • Benefits eligibility depends on location, job level, classification, and length of employment.

Hiring process

  • Current hirify.global employees must apply through Workday by selecting Careers and Find Jobs.
  • Background checks are conducted after a conditional offer for applicants in Los Angeles and San Francisco, subject to applicable legal requirements.
  • Applicants requiring disability accommodations should contact the nearest hirify.global location.

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