Associate Strategic Pricing Analyst
 Equiliem | |
 United States, Texas, Dallas | |
 Nov 10, 2024 | |
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** Hybrid schedule. 40 hours a week schedule with 2 days in office a week, preferably Tuesday and Thursday**
We are seeking a highly motivated Product Analyst to join pricing team. In this role, you will support our digital product team in driving data-driven decisions and managing product initiatives. You'll work closely with cross-functional teams to conduct analyses, design tests, and contribute to product development. MAJOR DUTIES AND RESPONSIBILITIES * Gather and analyze data from various sources to extract actionable insights for business and product decisions * Use statistical techniques and data visualization tools to interpret trends and patterns in product usage and performance * Design and execute A/B tests to optimize product features and validate hypotheses. * Assist in managing timelines, resources, and stakeholder communication for product launches and updates * Create and maintain data models to support product analytics and decision-making processes * Work with data engineering teams to ensure clean, accurate, and reliable data pipelines * Develop and document test cases for new features to ensure high-quality product delivery * Identify opportunities for product enhancements based on data analysis and customer feedback BASIC QUALIFICATIONS * 2-3 years of experience or relevant internship experience in product management, data analytics, or related fields * Experience in gathering and interpreting data from various sources and generating insights * Proficiency in statistical analysis and data visualization (e.g., Tableau, Power BI). * Knowledge of data engineering principles and the ability to collaborate with technical teams * Excellent communication and organizational skills, with an eagerness to learn and grow in a fast-paced environment * Strong understanding of A/B testing, data modeling, and analytics tools (e.g., SQL, Excel, Python, etc.) * A degree in a relevant field such as Data Science, Business, Engineering, or a related discipline. Nice-to-Have: * Experience with product analytics tools (e.g., Google Analytics, SAS). * Familiarity with agile methodologies | |