Company:
HonorVet Technologies
Location: Dallas
Closing Date: 27/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
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
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
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