Data Analyst

Position Title: Virtual Assistant - Data Analyst for EC

Location: Remote (Philippines)

Employment Type: Full-time, Contractor

Reporting To: Director of Operations/Head of Analytics

Job Summary

The Virtual Data Analyst is responsible for remotely analyzing and interpreting data to support data-driven decision-making across departments. This role involves collecting, cleaning, and organizing data, creating insightful reports, visualizing trends, and providing actionable insights to support business operations and enhance efficiency. The Virtual Data Analyst works closely with cross-functional teams, identifying data needs and generating analysis in a fully remote setting.

Duties and Responsibilities for Virtual Assistant - Data Analyst

Collect, clean, and organize data to ensure accuracy and completeness.

Data Quality Rate (Target: 98?curacy in data entries)

Analyze data to identify trends and generate actionable insights for business improvements.

Insight Generation Accuracy (Target: 95% of insights aligned with business needs)

Create and maintain dashboards and reports to support operations and decision-making.

Report Timeliness (Target: 100% of reports delivered on schedule)

Collaborate with stakeholders to identify data needs and support data-driven projects.

Stakeholder Satisfaction (Target: 90% satisfaction rating from stakeholders)

Recommend and implement data process improvements to enhance analysis accuracy and efficiency.

Process Improvement Implementation (Target: 2 data process improvements per year)

Qualifications

Experience: Minimum 2-4 years of experience in data analysis, business intelligence, or a similar role, with experience in remote data analysis.

Technical Skills: Proficiency in data analysis tools and software (e.g., SQL, Python, R), data visualization tools (e.g., Tableau, Power BI), and familiarity with databases.

Knowledge: Strong understanding of data analytics, statistical analysis, and business intelligence methodologies.

Key Competencies

Analytical Thinking: Ability to analyze complex data sets and derive actionable insights.

Attention to Detail: Ensures accuracy in data collection, entry, and reporting.

Communication: Strong written and verbal communication skills to effectively share insights with non-technical stakeholders.

Independence and Initiative: Capable of working independently and proactively identifying ways to improve data processes.

Collaboration: Works well with cross-functional teams, understanding and meeting remote data needs for various departments.

30/60/90-Day Targets for Virtual Assistant - Data Analyst

30 Days:

Complete onboarding and become familiar with data sources, tools, and remote analysis processes.

Achieve 90?curacy in initial data cleaning and reporting tasks.

Begin collaborating with key stakeholders to understand data requirements.

60 Days:

Take ownership of data analysis for specific projects, generating actionable insights with 95?curacy.

Develop initial dashboards and reports that align with stakeholder needs.

Identify and propose one process improvement for data accuracy.

90 Days:

Consistently deliver reports on time with high data accuracy and actionable insights.

Implement at least one process improvement for data analysis.

Establish regular feedback sessions with stakeholders to ensure data needs are being met.

How to Apply

Interested candidates are invited to Fill out the form to proceed with the application: wkf.ms/3AYDD9e