Data Analyst

THE COMPANY

We’re rapidly growing and looking for driven and customer-obsessed professionals to help our team revolutionize the career-services industry.

Career.io is dedicated to creating a better landscape for job seekers everywhere. Through our community of career experts and data insights, our brands —we empower professionals to take control of their careers, tell the best version of their career stories, and reach their full potential. 

We’re committed to helping job seekers write the next chapter of their careers and we want to help write yours, too! We hire for growth and longevity because we value the happiness and well-being of our employees.

THE ROLE

We’re seeking a product-focused analyst who will help the business find growth opportunities, explain performance, and support decision-making across Product and Marketing. The role is hands-on and broad: you will work on product and marketing analytics, KPI reporting, and measurement for new features and experiments. Work is prioritized by business impact and shipped iteratively.

You will also own the implementation behind your work: managing connection of sources, keeping ELT jobs healthy, building dbt models and marts, and maintaining consistent KPI definitions across dashboards and tools.

This is a 100% remote/work-from-home role.

THE KEY RESPONSIBILITIES

• Identify growth opportunities and business problems, quantify impact, and help prioritize what to build next.
• Own analytics projects end-to-end: requirements → implementation → rollout → stakeholder adoption.
• Build and expand KPI reporting: define missing metrics, create dashboards, and measure new feature impact
• Build and maintain the analytics stack: connect data sources, manage ELT/pipelines, and develop dbt models/marts.
• Investigate metric drops/spikes, find root causes, and turn findings into actionable recommendations.
• Product & marketing analytics: analyze funnels, activation/retention, feature performance, plus acquisition channels, attribution, and campaign performance.
• Ensure data reliability by implementing tests, monitoring, and documentation.
• Support experimentation: partner with the Product team to design experiments, monitor results, and evaluate impact. (edited) 

THE MUST-HAVES

• 3+ years in Product/Data Analytics, Analytics Engineering, or a similar role (ideally B2C/SaaS).
• Strong SQL and hands-on dbt (models, tests, docs).
• Python for analysis and automation.
• End-to-end data delivery skills: connect sources when needed, build production-ready pipelines, and design layered dbt models (staging, intermediate, marts).
• Product analytics fundamentals: funnels, cohorts, retention/activation, segmentation, A/B testing basics.
• Ownership mindset: you can take ambiguous requests, define success metrics, deliver a solution, and drive decisions.
• Engineering mindset: Git, code reviews, clean code, testing, and documentation.
• Strong stakeholder communication: align stakeholders, explain complex topics simply, and write clear documentation.
• Experience with BI tools (Looker/Tableau/Power BI/Metabase or similar).

At Career.io, we believe that diversity in thought and cultural background leads to better teams and stronger companies. We seek talented, qualified employees, regardless of race, color, sex/gender (including pregnancy, gender identity, and gender expression), national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Career.io is proud to be an Equal Employment Opportunity Employer.