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Data Analyst​/Data Engineer

Job in Jacksonville, Duval County, Florida, 32099, USA
Listing for: Pavago
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Data Analyst / Data Engineer
Data Analyst / Data Engineer - SQL, BI & Data Analytics | Remote

Position Type: Full-Time, Remote
Working Hours: U.S. Business Hours

About the Role

At Pavago, one of our clients is hiring a Data Analyst / Data Engineer to transform business data into reliable reporting, actionable insights, and scalable data systems.

Depending on your experience, this role may lean toward data analytics, business intelligence, data engineering, or a combination of these areas
.

You'll work with SQL, dashboards, reporting tools, databases, and data pipelines to help teams better understand performance and make informed business decisions.

This role is ideal for someone who combines strong technical and analytical skills with the ability to explain data clearly to non-technical stakeholders.

What You’ll Own
Data Analysis & Business Insights
  • Collect, clean, organize, and analyze business data
  • Identify trends, patterns, anomalies, and performance drivers
  • Translate raw data into meaningful business insights
  • Investigate data questions and provide evidence-based recommendations
  • Support stakeholders with ad hoc analysis and recurring reporting needs
SQL & Data Management
  • Write, maintain, and optimize SQL queries
  • Extract and combine data from multiple sources
  • Work with relational databases and structured datasets
  • Validate datasets for completeness and accuracy
  • Troubleshoot inconsistencies across reporting and source systems
Dashboards & Business Intelligence
  • Develop and maintain dashboards using tools such as:
    • Power BI
    • Tableau
    • Looker
    • Similar BI platforms
  • Build recurring reports for business stakeholders
  • Create clear visualizations that make complex information easier to understand
  • Maintain consistent definitions and reporting logic across dashboards
Data Pipelines & Integrations
  • Build or maintain data pipelines and integrations
  • Help connect business systems and reporting environments
  • Support reliable movement of data between platforms
  • Troubleshoot pipeline and integration issues
  • Improve the scalability and reliability of data workflows
Reporting Automation
  • Automate recurring reporting and data preparation processes
  • Reduce manual spreadsheet and reporting work
  • Build repeatable workflows for common reporting requirements
  • Identify opportunities to improve reporting efficiency
  • Help ensure stakeholders have timely access to reliable information
Data Quality & Reliability
  • Monitor and improve data accuracy
  • Identify missing, duplicated, or inconsistent information
  • Validate reporting outputs against source data
  • Improve processes that support reliable reporting
  • Maintain organized documentation around reporting and data workflows
Stakeholder Collaboration
  • Work with business stakeholders to understand reporting requirements
  • Translate business questions into analytical requirements
  • Present findings clearly to technical and non-technical audiences
  • Explain trends, metrics, and recommendations in practical business terms
  • Collaborate across teams to improve data accessibility and reporting
Requirements
  • 2+ years of experience in data analytics, business intelligence, data engineering, or a related role
  • Strong hands-on SQL skills
  • Experience with Excel and/or Google Sheets
  • Experience using at least one BI or visualization platform such as:
    • Power BI
    • Tableau
    • Looker
    • Similar tools
  • Familiarity with databases and data warehouses
  • Strong analytical and problem-solving skills
  • Ability to identify patterns and insights within complex datasets
  • Strong attention to data accuracy and reporting reliability
  • Ability to communicate technical findings clearly to non-technical stakeholders
  • Professional working English
  • Comfortable working independently in a remote environment
Nice to Have
  • Experience with Python for data analysis or automation
  • Experience building or maintaining data pipelines
  • Experience integrating data…
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