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Engineer - Data Analyst

edkey

full-remotejuniorfixed-termdata United States 58 days ago via LinkedIn
106,464 - 106,464 USD/annual

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Tags

SQLPythonTableauETLData ValidationData WarehousingAWSGitData ModelingData Visualization

About the role

Role overview

Entry-to-early-career Data Analyst (Engineer - Data Analyst) for a 100% remote, W2 temp-to-hire opportunity. The role focuses on end-to-end report delivery, operational support, data validation, and process improvement for internal and external stakeholders.

Responsibilities

  • Support secure, accurate, and timely report delivery
  • Maintain delivery calendars and integrated delivery plans across teams
  • Monitor workflow health, identify/escalate risks, and help drive mitigation
  • Perform output validation and quality checks to ensure reporting reliability
  • Troubleshoot data/reporting issues, identify root causes, and drive resolution
  • Fulfill ad hoc reporting/data requests and clearly communicate findings
  • Review requirements and contribute input to data design and reporting logic
  • Analyze datasets for trends, anomalies, and opportunities for operational improvement
  • Research and test tools/automation to improve scalability and efficiency; help standardize workflows
  • Collaborate using version control and shared development workflows

Requirements

  • 1–2 years of experience in data analysis, reporting, or software/data-related roles (internships/projects count)
  • Strong SQL for querying and validating data
  • Practical experience with Python for data analysis and scripting
  • Familiarity with Tableau (or similar) for data visualization
  • Experience working with large datasets and performing data validation/quality checks
  • Understanding of ETL, data modeling, and data warehousing concepts
  • Exposure to cloud platforms, preferably AWS
  • Familiarity with Git and collaborative development workflows
  • Strong written and verbal communication (explain findings to non-technical audiences)

Nice-to-haves

  • Experience with automated reporting pipelines and/or scheduling/delivery tools
  • Familiarity with data governance/security and/or regulated industries
  • Additional BI tools: Looker, Power BI
  • Experience improving operational processes or implementing automation

Scraped 4/22/2026

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