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• 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 OwnData 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 from multiple systems
• Familiarity with cloud-based databases or data warehouses
• Experience automating recurring reporting workflows
• Experience with data modeling and reporting architecture
• Experience supporting business intelligence or executive reporting
• Tools & Technologies
• SQL | Excel | Google Sheets | Power BI | Tableau | Looker | Python | Databases | Data Warehouses | Data Pipelines | BI & Reporting Tools
• What Makes You a Strong Fit

You’ll likely thrive in this role if you

• Enjoy turning messy data into clear, reliable information
• Are comfortable working deeply with SQL and datasets
• Question inconsistencies instead of accepting numbers at face value
• Can move between technical analysis and business conversations
• Look for opportunities to automate repetitive reporting
• Care about data accuracy and reporting reliability
• Can explain complex findings in simple, actionable terms
• Take ownership of analytical problems from question through insight
• What a Typical Day Looks Like
• Your day may include writing SQL queries, cleaning datasets, updating dashboards, investigating business trends, or automating a recurring report.
• Depending on the project, you may also maintain data pipelines, troubleshoot reporting inconsistencies, work with stakeholders to define new metrics, or present findings to business leaders.
• In short: you turn company data into reliable reporting, useful insights, and better business decisions.
• Key Metrics for Success
• Accuracy and reliability of reporting
• Quality and usability of dashboards
• Timely delivery of recurring reports and analysis
• SQL query and reporting efficiency
• Reduction in manual reporting processes
• Reliability of data pipelines and integrations
• Improvement in overall data quality
• Stakeholder confidence in reporting and insights
• Interview Process
• Initial Application
• Spark Hire One-Way Video Interview
• Video Interview with Pavago Recruiter
• Data / Technical Interview
• Client Interview
• Offer & Onboarding
• Spark Hire Video Interview – Required
• As part of the application process, all candidates are required to complete a one-way video interview through Spark Hire.
• After completing the first step of your application, you’ll receive a Spark Hire invitation by email with instructions to record and submit your video responses.
• Completion of the Spark Hire video is required to be considered for the next stage. Please check your inbox as well as your spam or junk folder for the invitation.
• Apply Now
• If you have experience with SQL, data analytics, business intelligence, dashboards, reporting, or data engineering and enjoy turning complex data into clear business insights, we’d love to hear from you.
• Apply today and help build reliable data systems that support smarter business decisions.
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• #LI-AG1