Назад
Company hidden
3 дня назад

Data Analyst – Data Integration & Enablement

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Analyst – Data Integration & Enablement (SQL/Python): Analyzing and documenting source-to-target data flows for enterprise data warehouses, data lakes, data mesh, and reporting solutions with an accent on data quality, validation, lineage, and integration requirements. Focus on profiling complex data environments, automating reconciliation and testing, and supporting modernization with dbt, Databricks on GCP, and AI/GenAI.

Location: Hybrid in Salt Lake City, Utah, United States

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

  • Partner with business and technology stakeholders to define data integration, reporting, and analytics requirements.
  • Profile source systems and analyze data structures, relationships, anomalies, business rules, and quality issues using SQL and Python.
  • Document source-to-target data flows, mappings, transformation rules, metadata, business definitions, and data lineage.
  • Develop data validation, reconciliation, testing, and quality controls for enterprise data environments.
  • Automate profiling, validation, reconciliation, and reporting processes.
  • Collaborate with engineers, architects, analysts, and end users to troubleshoot issues and support data modernization using dbt, Databricks on GCP, Data Mesh, and AI/GenAI.

Requirements

  • Bachelor's degree in data analytics, computer science, information systems, business, or a related discipline, with 2+ years of relevant experience.
  • Strong SQL skills covering complex queries, joins, aggregations, profiling, transformation analysis, reconciliation, and validation.
  • Working proficiency in Python for data analysis, automation, data quality, and integration.
  • Experience with data models, source-to-target mappings, transformation logic, metadata, data lineage, and business rules.
  • Understanding of data quality, testing, reconciliation, ETL/ELT, data integration, and enterprise troubleshooting.
  • Strong analytical, documentation, requirements gathering, communication, and collaboration skills.

Nice to have

  • Exposure to Databricks, dbt, GCP, enterprise data warehouses, data lakes, data mesh, or operational data stores.
  • Experience in financial services, banking, regulatory reporting, or another highly regulated industry.
  • Experience coordinating project activities, supporting workstreams, mentoring, or working with AI/GenAI and prompt engineering.

Culture & Benefits

  • Direct-hire permanent full-time employment with a hybrid work model.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
  • Participation in a 401(k) plan is available to eligible employees.
  • Collaborative environment involving business and technology stakeholders across enterprise data initiatives.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →