Data Analyst

Summary

Join Career.io's Analytics team as a highly skilled Data Analyst in a 100% remote role. You will develop data-driven strategies, analyze user behavior, create engaging reports and dashboards, perform in-depth data analysis, collaborate with cross-functional teams, utilize statistical models and machine learning, and implement quality assurance processes. Present insights to stakeholders and contribute to product strategy. Enhance data warehouse organization and collaborate with Data Engineering on data governance. Career.io offers competitive salaries and a globally distributed team.

Requirements

• Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
• Possesses strong knowledge of, and experience with, SQL and Python
• Some experience with dbt
• A solid 2 to 4 years of hands-on experience in data analytics or a similar role
• Expertise in analytical tools, specifically Periscope, Mixpanel, Google Analytics, etc
• Having statistical knowledge, strong analytical and problem-solving skills are key, including the ability to handle and accurately analyze large data with detail
• Excellent communication skills including experience speaking to technical and business audiences and working globally
• Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team
• Technical proficiency in database design development, data models, data marts as well as techniques for data mining and segmentation

Responsibilities

• Develop and implement data-driven strategies to enhance product performance and user experience
• Analyze user behavior and product usage data to identify opportunities for optimization and innovation
• Create visually engaging reports and dashboards for internal teams and external partners, aiding in data-driven decision-making
• Perform in-depth data analysis to uncover reasons behind metric fluctuations and verify assumptions, addressing ad-hoc questions beyond standard dashboards
• Collaborate with cross-functional teams to understand product requirements and improve feature functionalities
• Utilize statistical models and machine learning techniques to predict product trends and user behavior
• Implement rigorous quality assurance processes to uphold data accuracy and reliability
• Present insights and recommendations to stakeholders, contributing to product strategy development
• Enhance data warehouse organization with new objects like analytic data marts and views
• Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs

Preferred Qualifications

• Experience with cloud-based data warehousing platforms such as Redshift, Snowflake, etc
• Experience with Message Gears

Benefits

• Work from anywhere!
• Competitive salary (USD)