Sr. Data Analyst

At Jobscan, we're passionate about empowering job seekers to land more interviews with AI. We have helped millions of job seekers get more interviews in 100+ countries. Jobscan's platform benefits job seekers, employers, universities, and communities. We're a fast-growing startup . Since its founding in 2014, Jobscan has thrived for 11 years as a 100% self-funded company, achieving consistent profitability and rapid growth without VC investment. Recently, we've transformed into an AI-first company, leveraging cutting-edge tools to enhance operations and our product. This independence allows us to stay laser-focused on our customers, delivering impactful solutions for job seekers. Join us if you wish to be a part of a company that makes a real difference in people's lives

Summary
As the lead member of our Data Science team, you will play a crucial role in ensuring our cross-functional teams make business decisions that deliver exceptional user experiences through proactive and reliable analytical frameworks and insights. You'll be at the intersection of data science and operations, using rigorous analysis to understand how key business activities across marketing, product, and finance impact user behavior and business health, and identifying high-impact opportunities to improve operating efficiency across the board. Your work will directly influence how millions of users experience Jobscan and our fleet of products. You'll measure marketing effectiveness, analyze user journey across product lifecycle, and quantify customer lifetime value, then translate these insights into actionable recommendations that drive meaningful improvements to business activities. This role offers the unique opportunity to be the thought partner to our executive team that helps shape the direction of our business towards an AI forward organization.

What you'll help us with:

• Design and maintain comprehensive business reporting frameworks that provide clear visibility into key performance indicators and trends
• Partner with Marketing, Product, Finance, and Operation teams to understand their data needs and translate business questions into analytical frameworks
• Build and maintain dashboards and reporting tools that enable self-service analytics across the organization
• Identify emerging patterns in user behavior and business metrics that could inform strategic pivots or new opportunities
• Collaborate with our Engineering team to ensure data quality and accessibility for analysis
• Lead ad-hoc deep-dive analyses on critical business questions, from marketing optimizations, market opportunity sizing, financial forecasting, to user behavior monetization
• Present complex technical analyses and recommendations to both technical and non-technical stakeholders, including engineering leadership and executive teams

What will help you succeed here:

• 4+ years in data science, analytics engineering, or similar, ideally in a SaaS or consumer web environment
• Advanced SQL plus Python for analysis & scripting
• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift) and modern ELT/ETL tools (Fivetran, Stitch, dbt, Airflow)
• Experience designing A/B tests and applying statistical/causal inference methods
• Track record of building dashboards and telling stories with data for cross-functional stakeholders
• Proven self-starter who thrives in a scrappy, high-ownership startup culture - driving end-to-end analytics process from insights generation to recommendation adoption

Benefits
・Remote-friendly
- we trust you to get your work done and make it to your meetings, though our roles in Taiwan may involve semi-regular coworking sessions in the Xinyi District for better collaboration with the local team

・Competitive salary + stock options
- you should have a piece of what we're building here

・Flexible schedule
- we make it easy to take care of what matters, whether that's family, health, or life outside of work; though you might expect some early morning meetings to accommodate our other time zones (6:30 am being the earliest)

・Unlimited PTO + 14 Paid Holidays + Paid Sick Days
- we want our employees to have time to care for their personal wellness and mental health

・Paid maternal/parental leave
- enjoy time with your family's new addition

・$1000 office stipend
・Monthly education, internet stipend and wellness stipend
(use for yoga class, gym membership, or anything that improves your personal wellness)

・Apple computer or PC
of your choice