Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности, современный аналитический стек и заметное влияние на бизнес, но поддержка продакшена иногда может требовать переработок.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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.
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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