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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 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 from multiple systems
Familiarity with cloud-based databases or data warehouses
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.
