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 from multiple systems

Familiarity with cloud-based databases or data warehouses

Experi