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13 дней назад

Associate Staff Engineer - Data Analyst

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Associate Staff Engineer - Data Analyst (Power BI/Tableau/Snowflake): Building production-grade dashboards and reports that turn manufacturing, operational, and financial data into actionable business insights with an accent on data visualization, SQL analysis, and reporting accuracy. Focus on developing Tableau and Power BI solutions, exploring Snowflake data, contributing to dbt models, and improving self-service analytics through documentation and training.

Location: Guadalajara, Mexico

Company

Digital Product Engineering company delivering products, services, and experiences across digital platforms and devices.

What you will do

  • Design, develop, and maintain production-grade dashboards and reports in Tableau and Power BI.
  • Analyze manufacturing, operational, and financial data to identify trends, anomalies, and opportunities.
  • Write SQL queries in Snowflake for data extraction, transformation, validation, and ad-hoc analysis.
  • Collaborate with data engineers on reporting requirements and dbt staging and mart models.
  • Document data definitions, metric calculations, and dashboard usage guides.
  • Train and support business users in adopting self-service analytics.

Requirements

  • 2+ years of experience in a data analyst, BI analyst, or reporting analyst role.
  • Strong proficiency in Power BI and/or Tableau, including calculated fields, LOD expressions, DAX measures, parameters, dynamic filters, row-level security, and performance optimization.
  • Working knowledge of SQL and Snowflake, including JOINs, CTEs, window functions, aggregations, and basic data transformation.
  • Understanding of data modeling concepts, including star schemas and fact and dimension tables.
  • Portfolio of dashboards and reports delivered to business stakeholders.

Nice to have

  • Ability to read and modify dbt models, understand staging and mart layers, and run dbt commands for testing and documentation.
  • Basic Python skills for data wrangling, automation, or analytics workflows using pandas and notebooks.

Culture & Benefits

  • Full-time employment.
  • Dynamic, non-hierarchical work culture.
  • Collaboration within a global organization operating across 26 countries.

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