5 дней назад
Data Analyst – Data Integration & Enablement
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, mappings, validation controls, and reporting requirements across enterprise data environments with an accent on data quality, lineage, and integration automation. Focus on profiling complex source systems, reconciling transformations, troubleshooting root causes, and contributing to modernization with dbt, Databricks on GCP, Data Mesh, and AI/GenAI.
Location: Salt Lake City, Utah; hybrid onsite and remote
Company
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, quality issues, and business rules using SQL and Python.
- Document source-to-target data flows, mappings, transformation rules, metadata, business definitions, and data lineage.
- Develop and execute data validation, reconciliation, transformation testing, and data quality controls.
- Automate profiling, validation, reconciliation, and reporting processes.
- Collaborate with engineers, architects, analysts, and end users to troubleshoot issues and support modernization initiatives 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, 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 integration.
- Experience with data models, source-to-target mappings, transformation logic, metadata, lineage, and business rules.
- Knowledge of data quality, testing, reconciliation, ETL/ELT, data integration, and enterprise data troubleshooting.
- Strong analytical, documentation, requirements-gathering, communication, and cross-functional collaboration skills.
Nice to have
- Exposure to Databricks, dbt, GCP, enterprise data warehouses, data lakes, Data Mesh, and 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
- Permanent full-time direct-hire position with a 40-hour work week.
- Hybrid work model combining onsite and remote work.
- Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
- Eligible employees may participate in a 401(k) plan.
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