Data Analyst (Remote, Graveyard)
Philippines - Remote
Anytime Mailbox
Sign up for a virtual digital mailbox and get your postal mail online. View and manage your snail mail from your computer or from any mobile device.As a Data Analyst specializing in analyzing internal processes for our SaaS subscription service, you will be instrumental in analyzing customer behavior, identifying churn drivers, and developing strategies to optimize retention rates. You will work closely with cross-functional teams to leverage data for process optimization and operational excellence. We are looking for an A player—someone who is highly organized, detail-oriented, and with a proven track record in churn and retention analytics, sales process optimization, and internal workflow analysis.
Key Responsibilities:
- Analyze subscription churn patterns and develop predictive models to forecast customer attrition rates.
- Identify key factors influencing customer retention and engagement through comprehensive data analysis.
- Collaborate with product and marketing teams to implement targeted retention campaigns based on data insights.
- Monitor subscription KPIs such as MRR (Monthly Recurring Revenue), customer lifetime value (CLV), and churn rate.
- Conduct A/B testing and experimentation to optimize onboarding processes and reduce churn.
- Utilize data visualization tools to create actionable dashboards and reports for stakeholders.
- Partner with customer success teams to implement proactive measures for customer satisfaction and loyalty.
- Partner with sales teams to analyze sales processes and identify areas for optimization and efficiency improvements.
- Analyze internal application workflows (e.g., customer support, billing) to streamline operations and enhance user experience.
- Continuously assess data quality and integrity to ensure accuracy and reliability of analytics outputs.
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
- 3 years of experience in data analysis, preferably within a SaaS or subscription-based business environment.
- Strong understanding of subscription churn metrics, customer segmentation, and cohort analysis.
- Experience with data visualization tools such as Tableau, Looker, or Power BI preferred
- Familiarity with machine learning techniques for predictive modeling and customer behavior analysis is preferred
- Excellent communication skills with the ability to translate complex data findings into actionable insights for non-technical stakeholders.
- Proven track record of driving business impact through data-driven decision-making.
- Experience working with subscription management platforms (e.g., Zuora, Chargebee, Stripe) preferred
- Strong proficiency in Excel and Google Sheets, with a focus on utilizing formulas and effectively organizing and structuring data
- Attention to detail and a commitment to data accuracy and integrity.
- Previous exposure to customer success or retention-focused roles preferred
Other Qualifications
- Must have access to a reliable high-speed internet connection.
- Must have a computer with the latest model (preferably Core i3 or higher) and at least 8GB RAM.
- Must be available for scheduled and ad-hoc calls, meetings, and chats during regular weekday working hours.
- Must have a quiet workspace that is free from noise and distractions.
- Must have a noise-canceling headset that provides good audio quality for clear communication.
Benefits
- Work from home
About Anytime Mailbox
Anytime Mailbox, a worldwide trailblazer in the virtual mailbox industry, enables individuals, small businesses, content creators, and digital nomads to establish a real street address with a mailbox at over 2,200 locations across the planet. A virtual mailbox eliminates having to be at a physical location to get postal mail while ensuring you'll never miss your mail. With our easy-to-use app, clients can view and manage their postal mail & packages from anywhere in the world and decide whether they want their mail forwarded, scanned, shredded, or thrown away.
We are genuinely decentralized. Embracing work at home since 2013, we appreciate the value of a flexible schedule and work-life balance. We trust our team members to achieve our common goals that have enabled consistent, rapid promotion from within, long-term relationships, and 100% job satisfaction. Because we are at the starting point of our clients' endeavors, our diverse team members enjoy a shared sense of excitement in solution building. Want to join a team enabling our clients to achieve their dreams?
Our Culture
Our company culture is focused on creating a sense of family within our team. We believe that by fostering a supportive and collaborative environment, our employees are better able to thrive and achieve their goals. From company-wide events and team-building activities to daily check-ins and one-on-one meetings, we prioritize open communication and support for our team members.
We strive to create a workplace where everyone feels valued and supported, regardless of their background or experience. Our commitment to diversity and inclusivity extends beyond just hiring practices - we work to ensure that our culture and policies reflect our values and promote a sense of belonging for all.
If you're looking for a workplace that feels like family, where you can work with a team that supports and uplifts each other, then we encourage you to apply today. Let's work together to create a workplace culture that fosters growth, collaboration, and success for all.
Apply today and let's see how we can work together to achieve great things!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data analysis Data quality Data visualization Economics Excel KPIs Looker Machine Learning Mathematics Power BI Predictive modeling Statistics Tableau Testing
Perks/benefits: Career development Flex hours Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Data Engineering Manager jobs
- Open Senior Data Architect jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs