Data Analyst

About ProSource

At ProSource, we build and manage highly technical distributed teams for some of the most innovative companies in the world. We believe in humanizing the outsourcing industry by finding, attracting, and retaining top talent. Our dynamic workspaces promote creativity, collaboration, and well-being. We leverage smart technologies to ensure our clients and employees thrive in a collaborative, high-performing environment.

Role Overview:

We are seeking a Data Analyst to uncover actionable insights across Marketing, CRM, Ecommerce, and Finance. Ideal candidates have experience in data analysis, data visualization, and A/B testing in dynamic, data-driven environments. In this role, you will collaborate with cross-functional teams, leverage data to drive strategy, and maintain data integrity across the organization.

Key Responsibilities:

Data Collection and Cleaning:

• Gather data from various sources, including databases, CRM systems, web analytics platforms, and third-party APIs.
• Clean and preprocess data to ensure accuracy, consistency, and completeness.
• Identify and resolve data quality issues.

Data Analysis and Interpretation:

• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies within Marketing, CRM, Ecommerce, and Finance data.
• Conduct statistical analysis and modeling to uncover insights and support decision-making in these areas.
• Generate insights from Looker and underlying data models to drive strategy across the business.
• Develop and maintain data visualizations (e.g., charts, dashboards) to effectively communicate findings to relevant stakeholders.

A/B Testing:

• Contribute to the design and implementation of A/B testing frameworks.
• Analyze A/B testing results to measure the effectiveness of different strategies and identify areas for improvement.
• Collaborate with cross-functional teams to implement and iterate on A/B tests.

Reporting and Communication:

• Prepare clear and concise reports that summarize key findings and recommendations related to Marketing, CRM, Ecommerce, and Finance performance, including A/B testing results.
• Present data insights to stakeholders in a compelling and accessible manner.
• Collaborate with cross-functional teams (Marketing, CRM, Ecommerce, Finance) to translate data insights into actionable strategies.

Areas of Support:

• Marketing: Analyze campaign performance, customer segmentation, and marketing attribution.
• CRM (Loyalty and Retention): Evaluate customer lifetime value, churn rates, and identify opportunities for improving customer retention, personalization, and audience segmentation.
• Ecommerce: Analyze website traffic, conversion rates, customer behavior, and product performance.
• Finance: Analyze financial data, identify trends, and support financial reporting and forecasting.

Data Management and Maintenance:

• Develop and maintain data documentation, including data dictionaries and process flows.
• Contribute to the development and improvement of data management processes.
• Ensure data integrity and security.

Additional Responsibilities:

• Collaborate with analytics engineers to define and update data models, ensuring data quality and consistency across the organization.
• Configure and maintain data pipelines and workflows for automated data processing and analysis.
• Monitor and troubleshoot data systems and processes to ensure optimal performance and accuracy.
• Conduct research and stay up-to-date on the latest data analytics trends and technologies.

Qualifications:

• 2+ years of related work experience in analytics or e-commerce analytics.
• Bachelor’s degree in Mathematics, Statistics, Economics or quantitative focused study

Technical Skills:

• Expert proficiency in SQL and a plus for data manipulation tools (e.g., Python).
• Experience with data visualization tools (e.g., Tableau, Looker).
• Familiarity with statistical analysis and modeling techniques.
• Knowledge of data warehousing and ETL processes is a plus.
• Experience with A/B testing platforms and tools is a plus.
• An understanding of propensity models, analysis and application to solve business problems is a plus

Schedule:

• Tuesday to Saturday, 12am to 9am PHT

What's in it for you?

• 💸 Highly competitive salary
• 🏥 HMO coverage from Day 1 + 2 free dependents upon regularization
• 💻 Enjoy a fully remote setup with all the tools you need
• 🌱 Full-time role with excellent perks and benefits

Ready to take the next step? Apply now and be part of our team!