Data Analyst / Data Engineer

Description

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

Requirements