Associate Strategic Pricing Analyst / Product Data Analyst - HonorVet Technologies

Associate Strategic Pricing Analyst / Product Analyst
Location: Dallas TX USA 75234
Duration: 6+ Months with possibility of extension and Full-Time Conversion
Shift: First Shift
Job Description

• ** 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 analyse 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 modelling, 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