Job summary
Job post source
This job is directly from Radancy.
Job overview
The Product Data Analyst - Entry Level role at Radancy involves analyzing data to provide insights that optimize product performance and support data-driven decisions.
Responsibilities and impact
The analyst will analyze large datasets, develop dashboards, collaborate with product managers, conduct A/B testing, use Python, SQL, Google Analytics, and GCP to manage and analyze data, and communicate insights to stakeholders.
Experience and skills
The position requires a bachelor's degree in a relevant field, proficiency in Python, SQL, Google Analytics, and GCP, strong analytical and communication skills, and experience with data visualization tools; preferred qualifications include knowledge of machine learning, advanced degrees, and experience with Sigma Computing.
Company information
Radancy is a global leader in talent acquisition technologies offering a SaaS platform that optimizes the candidate journey to improve hiring ROI and speed.
Job location and travel
The position is remote, allowing work from any location.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to highlight your proficiency in Python, SQL, Google Analytics, and Google Cloud Platform, emphasizing your ability to analyze large datasets and generate actionable product insights.
Focus on showcasing your experience with data visualization tools like Tableau or Looker Studio, and your skill in communicating complex data findings clearly to stakeholders.
Apply through multiple channels including Jobright.ai's corporate careers page, LinkedIn job postings, and other relevant job boards to maximize your application visibility.
Connect with current Product Data Analysts or team members in the product analytics division at Jobright.ai on LinkedIn; start conversations by referencing recent product launches or industry trends related to talent acquisition technology to break the ice.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data analysis,' 'Python,' 'SQL,' 'Google Analytics,' 'Google Cloud Platform,' and 'dashboard development' to ensure your resume passes initial screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify optimal application channels, and discover LinkedIn contacts for networking, allowing you to focus more effectively on preparing for interviews and further skill development.
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