Remote Data Analyst: Insights, Dashboards & Impact

Quik Hire Staffing; Philippines; Remote; PHP 3,769,000 - 5,653,000; Full time

Job summary

Quik Hire Staffing is seeking a Data Analyst for a fully remote, full-time role. You will analyze complex datasets, identify trends, and translate findings into actionable business insights.

You will develop dashboards, collaborate with cross-functional teams, and produce ad-hoc reports while ensuring data accuracy and quality. The role offers flexible collaboration across time zones and exposure to data infrastructure and analytics initiatives.

Qualifications

• Proficiency in SQL for querying relational databases.
• Experience with Tableau, Power BI, or similar data visualization tools.
• Strong analytical skills to interpret complex data sets.
• Familiarity with statistical analysis and data modeling techniques.
• Knowledge of Python or R for data processing and analysis is required.
• Experience with Excel, including advanced functions and pivot tables.

Responsibilities

• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.
• Develop and maintain dashboards and reports to communicate key metrics and insights.
• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.
• Generate ad-hoc reports and visualizations to support decision-making across departments.
• Ensure data accuracy and consistency through validation and quality checks.

Skills

Analytical thinking

Attention to detail

Independent work

Communication skills

Tools

SQL

Tableau

Power BI

Python

R

Excel

Job description

Quik Hire Staffing is seeking a Data Analyst for a fully remote, full-time role. You will analyze complex datasets, identify trends, and translate findings into actionable business insights.

You will develop dashboards, collaborate with cross-functional teams, and produce ad-hoc reports while ensuring data accuracy and quality. The role offers flexible collaboration across time zones and exposure to data infrastructure and analytics initiatives.