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8 дней 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
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Описание вакансии

Текст:
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TL;DR
Data Analyst – Data Integration & Enablement (Data Integration/Analytics): Analyzing source systems and documenting data flows, mappings, transformations, and lineage across enterprise data platforms with an accent on SQL, Python, data quality, and validation. Focus on profiling complex data environments, reconciling source-to-target data, automating testing, and supporting modernization with dbt, Databricks, GCP, and AI/GenAI.

Location: Salt Lake City, Utah, United States; hybrid work with onsite and remote availability

Compensation: 0

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 across enterprise data platforms.
  • Develop and execute data validation, reconciliation, transformation testing, and data quality controls.
  • Automate profiling, validation, reconciliation, and reporting processes using SQL, Python, and modern data technologies.
  • Collaborate with engineers, architects, analysts, and end users to troubleshoot data issues, identify root causes, and support data modernization initiatives.

Requirements

  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business, or a related field, plus 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 validation, and data integration.
  • Experience with data models, source-to-target mappings, transformation logic, metadata, lineage, and business rules.
  • Understanding of data quality, data testing, reconciliation, ETL/ELT, data integration, and enterprise troubleshooting.
  • Strong analytical, problem-solving, requirements gathering, documentation, 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 team members, or working with AI/GenAI and prompt engineering.

Culture & Benefits

  • Hybrid work model combining onsite and remote work.
  • Permanent full-time position with a 40-hour workweek.
  • Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary benefits.
  • Participation in a 401(k) plan is available to eligible employees.

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