Data Analyst

at  Talent Inc

THE COMPANY

Talent Inc is rapidly growing and looking for driven and customer-obsessed professionals to help our team revolutionize the career-services industry.
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 are seeking a highly skilled and experienced Data Analyst to join our Analytics team. You will be responsible for conducting research, creating dashboards, and generating reports for teams across the organization. You will utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, structured, and presented to aid individuals, businesses, and organizations in making informed decisions.
This is a 100% remote/work-from-home role.

THE KEY 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.
• Design and maintain databases to ensure efficient storage and retrieval of product-related information.
• 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.