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About Us:

AbroadWorks is a fast growing global enterprise with established operations in the United States, India, and the Philippines. We specialize in providing both service-based solutions and advanced tech to help North American organizations in finding, onboarding, and managing global talent easily.

Our Offerings:

Global Staffing Services: Currently, the majority of our revenue is generated through our comprehensive global staffing services, which cater to the diverse needs of our clients.

Technology Solutions: Looking ahead, our strategic focus is to expand our footprint in the software sector, leveraging our technology to improve global human capital and talent management processes.

3a:T196e,

Job Title: Senior Data Analyst

Location: Fully Remote, Philippines

Salary: $7.00 - $11.00 per hour based on experience

Schedule: Monday to Friday, Eastern Standard Time

Job Type: Full-Time

Job Description:

As a Senior Data Analyst, you will be responsible for applying machine learning, AI, and advanced analytics to drive ecommerce revenue growth, improve customer retention, optimize marketing campaigns, support forecasting, and automate data pipelines.

Requirements:

5+ years of experience in data analysis, business intelligence, or a related analytics field, preferably in a fast-paced or high-growth ecommerce environment.
Demonstrated ability to manage end-to-end analytics projects, from gathering business requirements and extracting data to building dashboards and presenting insights.
Proven experience analyzing sales and customer data to improve customer retention, drive revenue growth, and inform sales and marketing strategies.
Expertise in complex SQL queries for data extraction and transformation.
Proficiency in Python for data analysis and automation, including pandas, NumPy, ETL workflows, and statistical libraries.
Hands-on experience with modern BI tools, especially Power BI or similar platforms such as Tableau or Looker.
Ability to translate business objectives into analytical questions and communicate actionable recommendations to technical and non-technical stakeholders.
Ability to collaborate with sales, marketing, purchasing, and other cross-functional teams.

Preferred Qualifications:

Experience with DAX measures and advanced data visualization, particularly in Power BI.
Familiarity with cloud-based data warehouses and ecosystems such as AWS, Azure, or GCP.
Knowledge of data modeling and data pipeline frameworks such as dbt and Airflow.

Key Responsibilities:

Sales and Business Insights

Apply machine learning and AI to support decision-making and identify revenue opportunities through customer segmentation, churn and retention propensity, next-best-offer modeling, promotional uplift modeling, demand forecasting, price elasticity analysis, and anomaly detection.
Analyze sales trends, customer behavior, and market data to identify revenue growth opportunities.
Evaluate marketing campaigns and promotional initiatives, providing data-driven recommendations to improve ROI and customer engagement.
Collaborate with sales and marketing leadership on sales forecasts, pipeline analysis, and pricing strategies.
Work with cross-functional teams to understand business needs, manage stakeholder expectations, and translate insights into actionable decisions.

Data Analysis and Reporting:

Combine data from multiple sources, including ERP, CRM, and web analytics, to create a single source of truth for analysis.
Design and maintain interactive dashboards and reports using Power BI or similar tools to monitor KPIs and communicate trends.
Develop and automate reliable ETL/ELT workflows using SQL and Python to ensure timely access to accurate data.
Implement data validation checks, documentation, and version control to maintain data integrity, security, and compliance with governance standards.

Technical Skills:

SQL and Python for data extraction, transformation, analysis, and automation.
Data visualization and dashboard development using Power BI, Tableau, or Looker.
Machine learning and AI applications for sales and business analytics.
Data integration across ERP, CRM, and web analytics platforms.
Cloud data warehouses, data modeling, and data pipeline frameworks.

Successful candidates for this role will be rewarded with the following benefits:

A total of five paid vacation days per year (additional days can be taken unpaid).
A 5% raise per year guaranteed (additional raises or bonuses may be given for outstanding performance).
A paid 15-minute break for every 4 hours of work.
Healthcare benefits after 2 months of full-time work.

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* Vacation days increase by 1 vacation day per year. I.e. after one year of employment, the total paid vacation days on year 2 would be six, on year 3 seven, etc.

Our main focus is to build an energized and motivated workforce where our employees are happy and satisfied with their jobs and growth opportunities.

We are looking forward to making you a part of our team!

Thank you for your time and interest.

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Job Title: Senior Data Analyst

Location: Fully Remote, Philippines

Salary: $7.00 - $11.00 per hour based on experience

Schedule: Monday to Friday, Eastern Standard Time

Job Type: Full-Time

Job Description:

Requirements:

5+ years of experience in data analysis, business intelligence, or a related analytics field, preferably in a fast-paced or high-growth ecommerce environment.
Demonstrated ability to manage end-to-end analytics projects, from gathering business requirements and extracting data to building dashboards and presenting insights.
Proven experience analyzing sales and customer data to improve customer retention, drive revenue growth, and inform sales and marketing strategies.
Expertise in complex SQL queries for data extraction and transformation.
Proficiency in Python for data analysis and automation, including pandas, NumPy, ETL workflows, and statistical libraries.
Hands-on experience with modern BI tools, especially Power BI or similar platforms such as Tableau or Looker.
Ability to translate business objectives into analytical questions and communicate actionable recommendations to technical and non-technical stakeholders.
Ability to collaborate with sales, marketing, purchasing, and other cross-functional teams.

Preferred Qualifications:

Experience with DAX measures and advanced data visualization, particularly in Power BI.
Familiarity with cloud-based data warehouses and ecosystems such as AWS, Azure, or GCP.
Knowledge of data modeling and data pipeline frameworks such as dbt and Airflow.

Key Responsibilities:

Sales and Business Insights

Apply machine learning and AI to support decision-making and identify revenue opportunities through customer segmentation, churn and retention propensity, next-best-offer modeling, promotional uplift modeling, demand forecasting, price elasticity analysis, and anomaly detection.
Analyze sales trends, customer behavior, and market data to identify revenue growth opportunities.
Evaluate marketing campaigns and promotional initiatives, providing data-driven recommendations to improve ROI and customer engagement.
Collaborate with sales and marketing leadership on sales forecasts, pipeline analysis, and pricing strategies.
Work with cross-functional teams to understand business needs, manage stakeholder expectations, and translate insights into actionable decisions.

Data Analysis and Reporting:

Combine data from multiple sources, including ERP, CRM, and web analytics, to create a single source of truth for analysis.
Design and maintain interactive dashboards and reports using Power BI or similar tools to monitor KPIs and communicate trends.
Develop and automate reliable ETL/ELT workflows using SQL and Python to ensure timely access to accurate data.
Implement data validation checks, documentation, and version control to maintain data integrity, security, and compliance with governance standards.

Technical Skills:

SQL and Python for data extraction, transformation, analysis, and automation.
Data visualization and dashboard development using Power BI, Tableau, or Looker.
Machine learning and AI applications for sales and business analytics.
Data integration across ERP, CRM, and web analytics platforms.
Cloud data warehouses, data modeling, and data pipeline frameworks.

Successful candidates for this role will be rewarded with the following benefits:

A total of five paid vacation days per year (additional days can be taken unpaid).
A 5% raise per year guaranteed (additional raises or bonuses may be given for outstanding performance).
A paid 15-minute break for every 4 hours of work.
Healthcare benefits after 2 months of full-time work.

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Job Title: Senior Data Analyst

Location: Fully Remote, Philippines

Salary: $7.00 - $11.00 per hour based on experience

Schedule: Monday to Friday, Eastern Standard Time

Job Type: Full-Time

Job Description:

Requirements:

5+ years of experience in data analysis, business intelligence, or a related analytics field, preferably in a fast-paced or high-growth ecommerce environment.
Demonstrated ability to manage end-to-end analytics projects, from gathering business requirements and extracting data to building dashboards and presenting insights.
Proven experience analyzing sales and customer data to improve customer retention, drive revenue growth, and inform sales and marketing strategies.
Expertise in complex SQL queries for data extraction and transformation.
Proficiency in Python for data analysis and automation, including pandas, NumPy, ETL workflows, and statistical libraries.
Hands-on experience with modern BI tools, especially Power BI or similar platforms such as Tableau or Looker.
Ability to translate business objectives into analytical questions and communicate actionable recommendations to technical and non-technical stakeholders.
Ability to collaborate with sales, marketing, purchasing, and other cross-functional teams.

Preferred Qualifications:

Experience with DAX measures and advanced data visualization, particularly in Power BI.
Familiarity with cloud-based data warehouses and ecosystems such as AWS, Azure, or GCP.
Knowledge of data modeling and data pipeline frameworks such as dbt and Airflow.

Key Responsibilities:

Sales and Business Insights

Apply machine learning and AI to support decision-making and identify revenue opportunities through customer segmentation, churn and retention propensity, next-best-offer modeling, promotional uplift modeling, demand forecasting, price elasticity analysis, and anomaly detection.
Analyze sales trends, customer behavior, and market data to identify revenue growth opportunities.
Evaluate marketing campaigns and promotional initiatives, providing data-driven recommendations to improve ROI and customer engagement.
Collaborate with sales and marketing leadership on sales forecasts, pipeline analysis, and pricing strategies.
Work with cross-functional teams to understand business needs, manage stakeholder expectations, and translate insights into actionable decisions.

Data Analysis and Reporting:

Combine data from multiple sources, including ERP, CRM, and web analytics, to create a single source of truth for analysis.
Design and maintain interactive dashboards and reports using Power BI or similar tools to monitor KPIs and communicate trends.
Develop and automate reliable ETL/ELT workflows using SQL and Python to ensure timely access to accurate data.
Implement data validation checks, documentation, and version control to maintain data integrity, security, and compliance with governance standards.

Technical Skills:

SQL and Python for data extraction, transformation, analysis, and automation.
Data visualization and dashboard development using Power BI, Tableau, or Looker.
Machine learning and AI applications for sales and business analytics.
Data integration across ERP, CRM, and web analytics platforms.
Cloud data warehouses, data modeling, and data pipeline frameworks.

Successful candidates for this role will be rewarded with the following benefits:

A total of five paid vacation days per year (additional days can be taken unpaid).
A 5% raise per year guaranteed (additional raises or bonuses may be given for outstanding performance).
A paid 15-minute break for every 4 hours of work.
Healthcare benefits after 2 months of full-time work.

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